{"id":80508,"date":"2025-11-12T08:00:00","date_gmt":"2025-11-11T23:00:00","guid":{"rendered":"https:\/\/www.creationline.com\/tech-blog\/?p=80508"},"modified":"2025-11-11T16:29:44","modified_gmt":"2025-11-11T07:29:44","slug":"%e7%94%9f%e6%88%90ai%e3%83%81%e3%83%a3%e3%83%83%e3%83%88%e3%83%9c%e3%83%83%e3%83%88%e3%81%a7mcp-model-context-protocl%e3%82%92%e4%bd%bf%e3%81%a3%e3%81%a6%e3%81%bf%e3%82%88%e3%81%86-langchain-mcp","status":"publish","type":"post","link":"https:\/\/www.creationline.com\/tech-blog\/chatgpt-ai\/80508","title":{"rendered":"\u751f\u6210AI\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8\u3067MCP (Model Context Protocl)\u3092\u4f7f\u3063\u3066\u307f\u3088\u3046 #langchain #mcp #ai #llm #slack"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">\u306f\u3058\u3081\u306b<\/h2>\n\n\n\n<p>\u751f\u6210AI\u30c1\u30e3\u30c3\u30c8<a href=\"https:\/\/claude.ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">Claude<\/a>\u3084\u751f\u6210AI\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u30c4\u30fc\u30eb<a href=\"https:\/\/www.claude.com\/product\/claude-code\" target=\"_blank\" rel=\"noreferrer noopener\">Claude Code<\/a>\u3067\u8457\u540d\u306a<a href=\"https:\/\/www.anthropic.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Anthropic<\/a>\u304c\u3001<a href=\"https:\/\/modelcontextprotocol.io\/\" target=\"_blank\" rel=\"noreferrer noopener\">Model Context Protocol<\/a> (MCP)\u3092\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u5316\u3057\u3066\u304b\u3089\u30012025\u5e7411\u6708\u30671\u5e74\u304c\u7d4c\u3068\u3046\u3068\u3057\u3066\u3044\u307e\u3059\u3002\u65b0\u6280\u8853\u306e\u6d41\u884c\u308a\u5ec3\u308a\u306e\u52e2\u3044\u304c\u7269\u51c4\u3044\u6628\u4eca\u3001MCP\u306f\u4e00\u5b9a\u306e\u5f71\u97ff\u529b\u3092\u4fdd\u3063\u305f\u307e\u307e\u63a8\u79fb\u3057\u3066\u3044\u308b\u3068\u898b\u3066\u3088\u3044\u3067\u3057\u3087\u3046\u3002<\/p>\n\n\n\n<p>\u672c\u7a3f\u3067\u306f\u3001\u4ee5\u524d\u306b\u516c\u958b\u3057\u305f\u300c<a href=\"https:\/\/www.creationline.com\/tech-blog\/77221\" target=\"_blank\" rel=\"noreferrer noopener\">LangChain\u3067MCP (Model Context Protocol)\u3092\u4f7f\u3063\u3066\u307f\u3088\u3046<\/a>\u300d\u304b\u3089\u306b\u3055\u3089\u306b\u4e00\u6b69\u9032\u3081\u3001<a href=\"https:\/\/www.creationline.com\/tech-blog\/75952\" target=\"_blank\" rel=\"noreferrer noopener\">\u751f\u6210AI\u4ed8Slack\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8<\/a>\u304b\u3089MCP\u3092\u4f7f\u3063\u3066\u307f\u308b\u3053\u3068\u306b\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u524d\u63d0\u6761\u4ef6<\/h2>\n\n\n\n<p>\u6b21\u306e\u74b0\u5883\u3067\u5b9f\u65bd\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Python 3.13.9<\/li>\n\n\n\n<li>LangChain 0.3.27<\/li>\n\n\n\n<li>LangChain MCP Adapters 0.1.12<\/li>\n\n\n\n<li>LangGraph 1.0.1<\/li>\n\n\n\n<li>Slack Bolt 1.26.0<\/li>\n\n\n\n<li>Slack SDK 3.37.0<\/li>\n<\/ul>\n\n\n\n<p>\u751f\u6210AI\u306f <a href=\"https:\/\/azure.microsoft.com\/ja-jp\/products\/ai-foundry\/models\/openai\/\" target=\"_blank\" rel=\"noreferrer noopener\">Azure OpenAI<\/a>\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u304a\u3055\u3089\u3044: \u751f\u6210AI\u4ed8Slack\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8<\/h2>\n\n\n\n<p>\u5143\u306b\u306a\u308b\u30d7\u30ec\u30fc\u30f3\u306a\u751f\u6210AI\u4ed8Slack\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8\u306e\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u306f\u6b21\u306e\u901a\u308a\u3067\u3059\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/api.slack.com\/quickstart\" target=\"_blank\" rel=\"noreferrer noopener\">Slack\u30a2\u30d7\u30ea<\/a>\u3068\u3057\u3066\u4f5c\u6210\u3002<\/li>\n\n\n\n<li><a href=\"https:\/\/docs.slack.dev\/apis\/events-api\/using-http-request-urls\/\" target=\"_blank\" rel=\"noreferrer noopener\">HTTP Request URLs<\/a>\u3067\u8d77\u52d5\u3002<\/li>\n\n\n\n<li><a href=\"https:\/\/tools.slack.dev\/bolt-python\/ja-jp\/getting-started\/\" target=\"_blank\" rel=\"noreferrer noopener\">Bolt for Python<\/a>\u3092\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3068\u3057\u3066\u4f7f\u7528\u3002\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/docs.slack.dev\/tools\/bolt-python\/ja-jp\/concepts\/async\/\" target=\"_blank\" rel=\"noreferrer noopener\">Async (asyncio)<\/a> \u3067\u52d5\u4f5c\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>HTTP\u30b5\u30fc\u30d0\u306f<a href=\"https:\/\/uvicorn.dev\/\" target=\"_blank\" rel=\"noreferrer noopener\">uvicorn<\/a> + <a href=\"https:\/\/fastapi.tiangolo.com\/ja\/\" target=\"_blank\" rel=\"noreferrer noopener\">FastAPI<\/a><\/li>\n\n\n\n<li>\u4f1a\u8a71\u5c65\u6b74\u306f\u30e1\u30e2\u30ea\u306b\u4fdd\u5b58\uff08\u6c38\u7d9a\u5316\u3057\u306a\u3044\uff09<\/li>\n<\/ul>\n\n\n\n<p>\u904e\u53bb\u8a18\u4e8b\u300c<a href=\"https:\/\/www.creationline.com\/tech-blog\/75952\" target=\"_blank\" rel=\"noreferrer noopener\">Slack\u30dc\u30c3\u30c8\u3092Azure App Service\u3067\u52d5\u304b\u305d\u3046<\/a>\u300d\u304b\u3089\u306f\u975e\u540c\u671f\u52d5\u4f5c\u7528\u3068\u30c6\u30b9\u30c8\u7528\u306b\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u3092\u5c11\u3057\u5909\u66f4\u3057\u3066\u3044\u307e\u3059\u3002\u5b9f\u969b\u306b\u52d5\u4f5c\u3055\u305b\u308b\u305f\u3081\u306e\u8a2d\u5b9a\u306a\u3069\u306f\u3001\u5f15\u304d\u7d9a\u304d\u904e\u53bb\u8a18\u4e8b\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">#!python3\n\nfrom slack_bolt.async_app import AsyncApp\nfrom slack_bolt.adapter.fastapi.async_handler import AsyncSlackRequestHandler\nfrom fastapi import FastAPI, Request, Response\nimport uvicorn\n\nimport re\n\nfrom typing import Annotated\nfrom typing_extensions import TypedDict\nfrom langgraph.graph import StateGraph, START, END\nfrom langgraph.graph.message import add_messages\nfrom langchain_core.messages import BaseMessage, AIMessage, HumanMessage\nfrom langchain_openai import AzureChatOpenAI\nfrom langgraph.checkpoint.memory import InMemorySaver\n\nimport os\nfrom dotenv import load_dotenv\nload_dotenv()\n\n# os.getenv(\"AZURE_OPENAI_API_KEY\")\n# os.getenv(\"AZURE_OPENAI_ENDPOINT\")\nllm = AzureChatOpenAI(\n         azure_deployment = os.getenv(\"AZURE_OPENAI_MODEL_NAME\"),\n         api_version = os.getenv(\"AZURE_OPENAI_API_VERSION\"),\n         temperature = 0.95,\n         max_tokens = 1024,\n      )\n\nclass State(TypedDict):\n    messages: Annotated[list, add_messages]\n\nasync def chatbot(state: State):\n    res = await llm.ainvoke(state[\"messages\"])\n    return {\"messages\": res}\n\ngraph_builder = StateGraph(State)\ngraph_builder.add_node(\"chatbot\", chatbot)\ngraph_builder.set_entry_point(\"chatbot\")\ngraph_builder.set_finish_point(\"chatbot\")\n\napp = AsyncApp(\n  signing_secret=os.environ.get(\"SLACK_SIGNING_SECRET\"),\n  token=os.getenv(\"SLACK_BOT_TOKEN\")\n)\nslack_bot_id = os.getenv(\"SLACK_BOT_ID\")\n\nasync def add_reaction(event, client, emoji):\n    await client.reactions_add(\n        channel=event[\"channel\"],\n        name=emoji,\n        timestamp=event[\"ts\"],\n    )\n\n@app.event(\"app_mention\")\nasync def mention_reply(event, say, client):\n    await add_reaction(event, client, \"eyes\")\n    memory = InMemorySaver()\n    graph = graph_builder.compile(checkpointer=memory)\n\n    user = event['user']\n    text = event['text']\n    if 'thread_ts' in event:\n        thread_ts = event['thread_ts']\n    else:\n        thread_ts = event['ts']\n\n    msg = re.sub(f'&lt;@{slack_bot_id}>', '', text)\n    events = graph.astream(\n        {\"messages\": [(\"user\", msg)]},\n        {\"configurable\": {\"thread_id\": thread_ts}},\n        stream_mode=\"values\"\n    )\n    async for ev in events:\n        message = ev[\"messages\"][-1]\n        if type(message) == AIMessage:\n            await say(\n                text=message.content,\n                thread_ts=thread_ts\n            )\n\nfastapi_app = FastAPI()\nhandler = AsyncSlackRequestHandler(app)\n\n@fastapi_app.post(\"\/slack\/events\")\nasync def slack_events(request: Request) -> Response:\n    return await handler.handle(request)\n\nif __name__ == \"__main__\":\n    subroutine_name = os.path.splitext(os.path.basename(__file__))[0]\n    uvicorn.run(f\"{subroutine_name}:fastapi_app\", host=\"0.0.0.0\", port=8080)<\/pre>\n\n\n\n<p>\u3053\u308c\u3067Slack\u3067\u30e1\u30f3\u30b7\u30e7\u30f3\u3059\u308b\u3068\u3001\u30b9\u30ec\u30c3\u30c9\u3067\u56de\u7b54\u3057\u3066\u304f\u308c\u308b\u30dc\u30c3\u30c8\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">MCP\u30b5\u30fc\u30d0\u306e\u6e96\u5099<\/h2>\n\n\n\n<p>\u4ee5\u524d\u306e\u8a18\u4e8b\u300c<a href=\"https:\/\/www.creationline.com\/tech-blog\/77221\" target=\"_blank\" rel=\"noreferrer noopener\">LangChain\u3067MCP\u3092\u4f7f\u3063\u3066\u307f\u3088\u3046<\/a>\u300d\u3068\u540c\u69d8\u306b\u3001MCP\u30b5\u30fc\u30d0\u3092\u6e96\u5099\u3057\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n<p>\u4eca\u56de\u3082\u5b9f\u7528\u7684\u306a\u4f5c\u696d\u3092\u3057\u306a\u3044\u30e2\u30c3\u30af\u3067\u3059\u304c\u3001\u4e00\u5fdc\u6307\u793a\u306b\u5373\u3057\u305f\u5fdc\u7b54\u300c\u73fe\u5728\u306e\u65e5\u6642\u3092\u805e\u304f\u3068\u3001\u305d\u308c\u3092\u5fdc\u7b54\u3059\u308b\u300d\u6a5f\u80fd\u3092\u6301\u305f\u305b\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">#!\/usr\/bin\/env python3\n\"\"\"MCP \u65e5\u6642\u30b5\u30fc\u30d0\u30fc.\n\n\u73fe\u5728\u306e\u65e5\u6642\u53d6\u5f97\u6a5f\u80fd\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\n\"\"\"\n\nfrom datetime import datetime\n\nfrom mcp.server import Server\nfrom mcp.types import Tool, TextContent\nimport mcp.server.stdio\n\napp = Server(\"time-server\")\n\n@app.list_tools()\nasync def list_tools() -> list[Tool]:\n    return [\n        Tool(\n            name=\"time_get_current\",\n            description=\"\u73fe\u5728\u306e\u65e5\u6642\u3092\u8fd4\u3057\u307e\u3059\",\n            inputSchema={\n                \"type\": \"object\",\n                \"properties\": {},\n            },\n        ),\n    ]\n\n@app.call_tool()\nasync def call_tool(name: str, _arguments: dict) -> list[TextContent]:\n    if name == \"time_get_current\":\n        now = datetime.now()\n        return [\n            TextContent(\n                type=\"text\",\n                text=f\"\u73fe\u5728\u306e\u65e5\u6642: {now.strftime('%Y-%m-%d %H:%M:%S')}\",\n            ),\n        ]\n    msg = f\"Unknown tool: {name}\"\n    raise ValueError(msg)\n\nasync def main() -> None:\n    async with mcp.server.stdio.stdio_server() as (read_stream, write_stream):\n        await app.run(\n            read_stream,\n            write_stream,\n            app.create_initialization_options(),\n        )\n\nif __name__ == \"__main__\":\n    import asyncio\n    asyncio.run(main())<\/pre>\n\n\n\n<p>\u3057\u304b\u3057\u3053\u308c\u306f\u4f4e\u30ec\u30d9\u30eb\u30ec\u30a4\u30e4\u30fc\u3067\u306e\u4f5c\u6210\u3067\u3042\u308a\u3001\u51e6\u7406\u304c\u8a73\u7d30\u306b\u5206\u304b\u308b\u306e\u3067\u3059\u304c\u3001\u3061\u3087\u3063\u3068\u5197\u9577\u3067\u3059\u3002\u305d\u3053\u3067\u3053\u3053\u3067\u306f<a href=\"https:\/\/gofastmcp.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">FastMCP<\/a>\u3092\u4f7f\u3063\u3066\u66f8\u304d\u76f4\u3057\u307e\u3057\u3087\u3046\u3002\u524d\u56de<a href=\"https:\/\/github.com\/langchain-ai\/langchain-mcp-adapters\/tree\/langchain-mcp-adapters%3D%3D0.1.12?tab=readme-ov-file#server\" target=\"_blank\" rel=\"noreferrer noopener\">\u516c\u5f0f\u30af\u30a4\u30c3\u30af\u30b9\u30bf\u30fc\u30c8<\/a>\u3067FastMCP\u306e\u30b3\u30fc\u30c9\u3092\u7279\u306b\u8a00\u53ca\u306a\u304f\u4f7f\u3063\u3066\u3044\u307e\u3057\u305f\u304c\u3001\u3053\u306e\u4ed5\u7d44\u307f\u3092\u4f7f\u3046\u3068MCP\u30b5\u30fc\u30d0\u3092\u7c21\u5358\u306b\u8a18\u8ff0\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">#!\/usr\/bin\/env python3\n\"\"\"FastMCP \u65e5\u6642\u30b5\u30fc\u30d0\u30fc.\n\n\u73fe\u5728\u306e\u65e5\u6642\u53d6\u5f97\u6a5f\u80fd\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\n\"\"\"\n\nfrom datetime import datetime\nfrom mcp.server.fastmcp import FastMCP\n\n# FastMCP\u30b5\u30fc\u30d0\u30fc\u3092\u4f5c\u6210\nmcp = FastMCP(\"time-server\")\n\n@mcp.tool()\ndef time_get_current() -> str:\n    \"\"\"\u73fe\u5728\u306e\u65e5\u6642\u3092\u8fd4\u3057\u307e\u3059\"\"\"\n    now = datetime.now()\n    return f\"\u73fe\u5728\u306e\u65e5\u6642: {now.strftime('%Y-%m-%d %H:%M:%S')}\"\n\nif __name__ == \"__main__\":\n    mcp.run(transport=\"stdio\")<\/pre>\n\n\n\n<p>\u4f5c\u696d\u5185\u5bb9\u306f\u540c\u3058\u3067\u3001\u30b3\u30fc\u30c9\u306f\u3053\u3093\u306a\u306b\u77ed\u304f\u306a\u308a\u307e\u3057\u305f\u3002\u672c\u7a3f\u3067\u306fFastMCP\u4ed5\u69d8\u306e\u30b5\u30fc\u30d0\u3092\u4f7f\u3063\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">MCP\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u306e\u6e96\u5099<\/h2>\n\n\n\n<p>\u3067\u306f\u3001Slack\u30dc\u30c3\u30c8\u306bMCP\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u3092\u7d44\u307f\u8fbc\u3093\u3067\u3044\u304d\u307e\u3057\u3087\u3046\u3002\u5168\u4f53\u306e\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u306f\u6b21\u306e\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"python\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">#!python3\n\nfrom slack_bolt.async_app import AsyncApp\nfrom slack_bolt.adapter.fastapi.async_handler import AsyncSlackRequestHandler\nfrom fastapi import FastAPI, Request, Response\nimport uvicorn\n\nimport re\nimport asyncio\n\nfrom typing import Annotated\nfrom typing_extensions import TypedDict\nfrom langgraph.graph import StateGraph, START, END\nfrom langgraph.prebuilt import ToolNode, tools_condition\nfrom langgraph.graph.message import add_messages\nfrom langchain_core.messages import BaseMessage, AIMessage, HumanMessage, ToolMessage\nfrom langchain_openai import AzureChatOpenAI\nfrom langgraph.checkpoint.memory import InMemorySaver\nfrom langchain_mcp_adapters.client import MultiServerMCPClient\n\nimport os\nfrom dotenv import load_dotenv\nload_dotenv()\n\n# os.getenv(\"AZURE_OPENAI_API_KEY\")\n# os.getenv(\"AZURE_OPENAI_ENDPOINT\")\nllm = AzureChatOpenAI(\n         azure_deployment = os.getenv(\"AZURE_OPENAI_MODEL_NAME\"),\n         api_version = os.getenv(\"AZURE_OPENAI_API_VERSION\"),\n         temperature = 0.95,\n         max_tokens = 1024,\n      )\n\nMCP_SERVERS = {\n    \"time-server\": {\n        \"command\": \"python3\",\n        \"args\": [\"100_2_fastmcp_time_server.py\"],\n        \"transport\": \"stdio\",\n        \"tools\": [\"time_get_current\"],\n        \"reaction\": \"clock3\",\n    },\n}\n\nmcp_client_instance = None\n\nclass State(TypedDict):\n    messages: Annotated[list, add_messages]\n\nasync def chatbot(state: State):\n    tools = await mcp_client_instance.get_tools()\n    llm_with_tools = llm.bind_tools(tools)\n    res = await llm_with_tools.ainvoke(state[\"messages\"])\n    return {\"messages\": res}\n\nasync def tool_executor(state: State):\n    mcp_tools = await mcp_client_instance.get_tools()\n    tool_node = ToolNode(tools=mcp_tools)\n    return await tool_node.ainvoke(state)\n\ngraph_builder = StateGraph(State)\ngraph_builder.add_node(\"chatbot\", chatbot)\ngraph_builder.add_node(\"tools\", tool_executor)\ngraph_builder.set_entry_point(\"chatbot\")\ngraph_builder.add_conditional_edges(\"chatbot\", tools_condition)\ngraph_builder.add_edge(\"tools\", \"chatbot\")\n\napp = AsyncApp(\n  signing_secret=os.environ.get(\"SLACK_SIGNING_SECRET\"),\n  token=os.getenv(\"SLACK_BOT_TOKEN\")\n)\nslack_bot_id = os.getenv(\"SLACK_BOT_ID\")\n\nasync def add_reaction(event, client, emoji):\n    await client.reactions_add(\n        channel=event[\"channel\"],\n        name=emoji,\n        timestamp=event[\"ts\"],\n    )\n\n@app.event(\"app_mention\")\nasync def mention_reply(event, say, client):\n    await add_reaction(event, client, \"eyes\")\n\n    global mcp_client_instance\n\n    mcp_client_config = {}\n    for server_name, config in MCP_SERVERS.items():\n        mcp_client_config[server_name] = {\n            k: v for k, v in config.items()\n            if k not in ['tools', 'reaction']\n        }\n\n    mcp_client = MultiServerMCPClient(mcp_client_config)\n    mcp_client_instance = mcp_client\n\n    memory = InMemorySaver()\n    graph = graph_builder.compile(checkpointer=memory)\n\n    user = event['user']\n    text = event['text']\n    if 'thread_ts' in event:\n        thread_ts = event['thread_ts']\n    else:\n        thread_ts = event['ts']\n\n    msg = re.sub(f'&lt;@{slack_bot_id}>', '', text)\n    events = graph.astream(\n        {\"messages\": [(\"user\", msg)]},\n        {\"configurable\": {\"thread_id\": thread_ts}},\n        stream_mode=\"values\"\n    )\n    async for ev in events:\n        messages = ev.get(\"messages\", [])\n        if not messages:\n            continue\n        message = messages[-1]\n\n        if isinstance(message, AIMessage):\n            if message.content == \"\":\n                continue\n\n            content_str = str(message.content)\n            if content_str.strip():\n                await say(\n                    text=content_str,\n                    thread_ts=thread_ts\n                )\n        elif isinstance(message, ToolMessage):\n            tool_name = message.name or \"unknown\"\n            tool_content = message.content\n            content_str = str(tool_content) if isinstance(tool_content, list) else str(tool_content)\n\n            for server_name, server_config in MCP_SERVERS.items():\n                if \"tools\" in server_config and tool_name in server_config[\"tools\"]:\n                    if \"reaction\" in server_config:\n                        await add_reaction(event, client, server_config[\"reaction\"])\n                    break\n\n            if message.status == \"error\":\n                error_message = f\"&#x26a0;&#xfe0f; \u30c4\u30fc\u30eb\u5b9f\u884c\u30a8\u30e9\u30fc: `{tool_name}`\\n```\\n{content_str}\\n```\"\n                await say(\n                    text=error_message,\n                    thread_ts=thread_ts\n                )\n\nfastapi_app = FastAPI()\nhandler = AsyncSlackRequestHandler(app)\n\n@fastapi_app.post(\"\/slack\/events\")\nasync def slack_events(request: Request) -> Response:\n    return await handler.handle(request)\n\nif __name__ == \"__main__\":\n    subroutine_name = os.path.splitext(os.path.basename(__file__))[0]\n    uvicorn.run(f\"{subroutine_name}:fastapi_app\", host=\"0.0.0.0\", port=8080)<\/pre>\n\n\n\n<p>\u5909\u66f4\u7b87\u6240\u3092\u304b\u3044\u3064\u307e\u3093\u3067\u898b\u3066\u3044\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"diff\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">+from langchain_mcp_adapters.client import MultiServerMCPClient<\/pre>\n\n\n\n<p>\u524d\u56de<a href=\"https:\/\/github.com\/langchain-ai\/langchain-mcp-adapters\/tree\/langchain-mcp-adapters%3D%3D0.1.12?tab=readme-ov-file#server\" target=\"_blank\" rel=\"noreferrer noopener\">\u516c\u5f0f\u30af\u30a4\u30c3\u30af\u30b9\u30bf\u30fc\u30c8<\/a>\u3067\u3082\u898b\u305f\u901a\u308a\u3001<a href=\"https:\/\/github.com\/langchain-ai\/langchain-mcp-adapters\" target=\"_blank\" rel=\"noreferrer noopener\">langchain-mcp-adapters<\/a>\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u30de\u30eb\u30c1\u30b5\u30fc\u30d0\u5bfe\u5fdcMCP\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u3092\u5229\u7528\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"diff\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">+MCP_SERVERS = {\n+    \"time-server\": {\n+        \"command\": \"python3\",\n+        \"args\": [\"100_2_fastmcp_time_server.py\"],\n+        \"transport\": \"stdio\",\n+        \"tools\": [\"time_get_current\"],\n+        \"reaction\": \"clock3\",\n+    },\n+}<\/pre>\n\n\n\n<p>\u5229\u7528\u3059\u308bMCP\u30b5\u30fc\u30d0\u3092\u5b9a\u7fa9\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u306e <code>100_2_fastmcp_time_server.py<\/code> \u306f\u5148\u306b\u4f5c\u6210\u3057\u305fFastMCP\u4ed5\u69d8\u306eMCP\u30b5\u30fc\u30d0\u3067\u3059\u3002\u306a\u304a\u3001 <code>tools<\/code> \u3068 <code>reaction<\/code> \u306f\u3001\u672cSlack\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8\u3067\u5229\u7528\u3059\u308b\u305f\u3081\u306e\u72ec\u81ea\u8981\u7d20\u3067\u3059\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"diff\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"> async def chatbot(state: State):\n-    res = await llm.ainvoke(state[\"messages\"])\n+    tools = await mcp_client_instance.get_tools()\n+    llm_with_tools = llm.bind_tools(tools)\n+    res = await llm_with_tools.ainvoke(state[\"messages\"])\n     return {\"messages\": res}\n\n+async def tool_executor(state: State):\n+    mcp_tools = await mcp_client_instance.get_tools()\n+    tool_node = ToolNode(tools=mcp_tools)\n+    return await tool_node.ainvoke(state)\n+\n graph_builder = StateGraph(State)\n graph_builder.add_node(\"chatbot\", chatbot)\n+graph_builder.add_node(\"tools\", tool_executor)\n graph_builder.set_entry_point(\"chatbot\")\n-graph_builder.set_finish_point(\"chatbot\")\n+graph_builder.add_conditional_edges(\"chatbot\", tools_condition)\n+graph_builder.add_edge(\"tools\", \"chatbot\")<\/pre>\n\n\n\n<p>\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8\u306eLangGraph\u30ce\u30fc\u30c9\u306bMCP\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u3092\u7d44\u307f\u8fbc\u3093\u3067\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"diff\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">+    mcp_client_config = {}\n+    for server_name, config in MCP_SERVERS.items():\n+        mcp_client_config[server_name] = {\n+            k: v for k, v in config.items()\n+            if k not in ['tools', 'reaction']\n+        }\n+\n+    mcp_client = MultiServerMCPClient(mcp_client_config)\n+    mcp_client_instance = mcp_client<\/pre>\n\n\n\n<p>\u5148\u306e <code>MCP_SERVERS<\/code> \u306e\u5b9a\u7fa9\u304b\u3089\u30de\u30eb\u30c1\u30b5\u30fc\u30d0\u5bfe\u5fdcMCP\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u4f5c\u6210\u3057\u3066\u3044\u307e\u3059\u3002\u524d\u8ff0\u306e\u901a\u308a <code>tools<\/code> \u3068 <code>reaction<\/code> \u306f\u72ec\u81ea\u8981\u7d20\u306a\u306e\u3067\u524a\u9664\u3057\u3066\u3044\u307e\u3059\u3002\u4fdd\u6301\u3057\u305f\u307e\u307e\u3060\u3068\u521d\u671f\u5316\u30a8\u30e9\u30fc\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"diff\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">     async for ev in events:\n-        message = ev[\"messages\"][-1]\n-        if type(message) == AIMessage:\n-            await say(\n-                text=message.content,\n-                thread_ts=thread_ts\n-            )\n+        messages = ev.get(\"messages\", [])\n+        if not messages:\n+            continue\n+        message = messages[-1]\n+\n+        if isinstance(message, AIMessage):\n+            if message.content == \"\":\n+                continue\n+\n+            content_str = str(message.content)\n+            if content_str.strip():\n+                await say(\n+                    text=content_str,\n+                    thread_ts=thread_ts\n+                )<\/pre>\n\n\n\n<p>\u901a\u5e38\u306e\u30e1\u30c3\u30bb\u30fc\u30b8\u306e\u51e6\u7406\u90e8\u5206\u3067\u3059\u3002<\/p>\n\n\n\n<p>MCP\u30b5\u30fc\u30d0\u3092\u542b\u3080\u30c4\u30fc\u30eb\u304b\u3089\u306e\u5fdc\u7b54\u306f <code>message.content<\/code> \u304c\u30ab\u30e9\u306e\u5834\u5408\u304c\u3042\u308b\u305f\u3081\u3001\u30b9\u30ad\u30c3\u30d7\u3057\u3066\u6b21\u306e\u5fdc\u7b54\u306b\u79fb\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"diff\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">+        elif isinstance(message, ToolMessage):\n+            tool_name = message.name or \"unknown\"\n+            tool_content = message.content\n+            content_str = str(tool_content) if isinstance(tool_content, list) else str(tool_content)\n+\n+            for server_name, server_config in MCP_SERVERS.items():\n+                if \"tools\" in server_config and tool_name in server_config[\"tools\"]:\n+                    if \"reaction\" in server_config:\n+                        await add_reaction(event, client, server_config[\"reaction\"])\n+                    break\n+\n+            if message.status == \"error\":\n+                error_message = f\"&#x26a0;&#xfe0f; \u30c4\u30fc\u30eb\u5b9f\u884c\u30a8\u30e9\u30fc: `{tool_name}`\\n```\\n{content_str}\\n```\"\n+                await say(\n+                    text=error_message,\n+                    thread_ts=thread_ts\n+                )<\/pre>\n\n\n\n<p>MCP\u30b5\u30fc\u30d0\u3092\u542b\u3080\u30c4\u30fc\u30eb\u304b\u3089\u306e\u30e1\u30c3\u30bb\u30fc\u30b8\u306e\u51e6\u7406\u90e8\u5206\u3067\u3059\u3002<\/p>\n\n\n\n<p>\u72ec\u81ea\u8981\u7d20\u306e <code>tools<\/code> \u3068 <code>reaction<\/code> \u3092\u7528\u3044\u3066\u3001\u30e1\u30c3\u30bb\u30fc\u30b8\u30b9\u30ec\u30c3\u30c9\u306e\u5148\u982d\u30e1\u30c3\u30bb\u30fc\u30b8\u306b\u3001\u6307\u5b9a\u306e\u7d75\u6587\u5b57\u30ea\u30a2\u30af\u30b7\u30e7\u30f3\u3092\u3064\u3051\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001LLM\u76f4\u901a\u3067\u306f\u306a\u304f\u3001\u30c4\u30fc\u30eb\u3092\u7d4c\u7531\u3057\u3066\u51e6\u7406\u3057\u305f\u30e1\u30c3\u30bb\u30fc\u30b8\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u3084\u3059\u304f\u306a\u308a\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u307e\u305f\u3001\u30c4\u30fc\u30eb\u304c\u30a8\u30e9\u30fc\u3092\u8fd4\u3057\u305f\u5834\u5408\u306f\u5c02\u7528\u306e\u30a8\u30e9\u30fc\u30e1\u30c3\u30bb\u30fc\u30b8\u3092\u9001\u4fe1\u3059\u308b\u3088\u3046\u306b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u5b9f\u884c\u7d50\u679c<\/h2>\n\n\n\n<p>\u3067\u306f\u3001\u5b9f\u884c\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"495\" height=\"209\" src=\"https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2025\/11\/slack-mcp-01.png\" alt=\"\" class=\"wp-image-80509\" srcset=\"https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2025\/11\/slack-mcp-01.png 495w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2025\/11\/slack-mcp-01-360x152.png 360w\" sizes=\"auto, (max-width: 495px) 100vw, 495px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"403\" src=\"https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2025\/11\/slack-mcp-02-1024x403.png\" alt=\"\" class=\"wp-image-80510\" srcset=\"https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2025\/11\/slack-mcp-02-1024x403.png 1024w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2025\/11\/slack-mcp-02-360x142.png 360w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2025\/11\/slack-mcp-02-768x302.png 768w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2025\/11\/slack-mcp-02.png 1282w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>\u3053\u306e\u3088\u3046\u306b\u3001MCP\u30b5\u30fc\u30d0\u3092\u8d77\u52d5\u3057\u3066\u3001\u305d\u3061\u3089\u3067\u65e5\u6642\u306e\u53d6\u5f97\u3092\u884c\u3063\u3066\u8fd4\u7b54\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u65e2\u5b58\u306eMCP\u30b5\u30fc\u30d0\u306e\u8ffd\u52a0<\/h2>\n\n\n\n<p><code>MultiServerMCPClient<\/code> \u306f\u8907\u6570\u306eMCP\u30b5\u30fc\u30d0\u3092\u53d6\u308a\u6271\u3046\u3053\u3068\u304c\u3067\u304d\u308b\u306e\u3067\u3001\u72ec\u81ea\u306e\u65e5\u6642\u53d6\u5f97MCP\u30b5\u30fc\u30d0\u306b\u52a0\u3048\u3066\u3001\u65e2\u5b58\u306eMCP\u30b5\u30fc\u30d0\u3092\u8ffd\u52a0\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n<p>\u3053\u3053\u3067\u306f\u30a6\u30a7\u30d6\u691c\u7d22\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u3067\u3042\u308b<a href=\"https:\/\/www.tavily.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Tavily<\/a>\u306eMCP\u30b5\u30fc\u30d0\u306e<a href=\"https:\/\/docs.tavily.com\/documentation\/mcp\" target=\"_blank\" rel=\"noreferrer noopener\">Tavily MCP Server<\/a>\u3092\u8ffd\u52a0\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"diff\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\">--- 100_slack_simple_bot_mcp.py    2025-11-10 18:41:19.421626450 +0900\n+++ 100_1_slack_simple_bot_mcp.py    2025-11-10 18:41:08.893055758 +0900\n@@ -39,6 +39,16 @@\n         \"tools\": [\"time_get_current\"],\n         \"reaction\": \"clock3\",\n     },\n+    \"tavily-mcp\": {\n+      \"command\": \"npx\",\n+      \"args\": [\"-y\", \"tavily-mcp@latest\"],\n+      \"env\": {\n+         \"TAVILY_API_KEY\": os.getenv(\"TAVILY_API_KEY\"),\n+      },\n+      \"transport\": \"stdio\",\n+      \"tools\": [\"tavily-search\"],\n+      \"reaction\": \"mag\",\n+    },\n }\n\n mcp_client_instance = None<\/pre>\n\n\n\n<p>\u3053\u308c\u306f<a href=\"https:\/\/nodejs.org\/\" target=\"_blank\" rel=\"noreferrer noopener\">Node.js<\/a>\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u7ba1\u7406\u30b7\u30b9\u30c6\u30e0<a href=\"https:\/\/docs.npmjs.com\/cli\/v11\/commands\/npx\" target=\"_blank\" rel=\"noreferrer noopener\">npx<\/a>\u3067Tavily\u306eMCP\u30b5\u30fc\u30d0\u3092\u8d77\u52d5\uff08\u304a\u3088\u3073\u521d\u56de\u306e\u307f\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\uff09\u3092\u884c\u3063\u3066\u3044\u307e\u3059\u3002\u7e70\u308a\u8fd4\u3057\u3068\u306a\u308a\u307e\u3059\u304c <code>tools<\/code> \u3068 <code>reaction<\/code> \u306f\u672c\u7a3f\u3067\u306e\u72ec\u81ea\u8981\u7d20\u3067\u3059\u3002<\/p>\n\n\n\n<p>\u3067\u306f\u3053\u3061\u3089\u3082\u5b9f\u884c\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"175\" src=\"https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2025\/11\/slack-mcp-03-1024x175.png\" alt=\"\" class=\"wp-image-80511\" srcset=\"https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2025\/11\/slack-mcp-03-1024x175.png 1024w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2025\/11\/slack-mcp-03-360x61.png 360w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2025\/11\/slack-mcp-03-768x131.png 768w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2025\/11\/slack-mcp-03.png 1419w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"403\" src=\"https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2025\/11\/slack-mcp-04-1024x403.png\" alt=\"\" class=\"wp-image-80512\" srcset=\"https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2025\/11\/slack-mcp-04-1024x403.png 1024w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2025\/11\/slack-mcp-04-360x142.png 360w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2025\/11\/slack-mcp-04-768x303.png 768w, https:\/\/www.creationline.com\/tech-blog\/cms_x3GWkuX\/wp-content\/uploads\/2025\/11\/slack-mcp-04.png 1282w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>GPT-4.1\u306f<a href=\"https:\/\/openai.com\/index\/gpt-4-1\/\" target=\"_blank\" rel=\"noreferrer noopener\">\u30ab\u30c3\u30c8\u30aa\u30d52024\u5e746\u6708<\/a>\u3001\u3064\u307e\u308a\u305d\u306e\u6642\u70b9\u307e\u3067\u306e\u77e5\u8b58\u3067\u4f5c\u3089\u308c\u3066\u3044\u307e\u3059\u3002\u305d\u306e\u305f\u3081\u30012025\u5e7411\u6708\u73fe\u5728\u306e\u65e5\u672c\u306e\u7dcf\u7406\u5927\u81e3\u306b\u3064\u3044\u3066\u306e\u77e5\u8b58\u304c\u3042\u308a\u307e\u305b\u3093\u3002\u305d\u3053\u3067Tavily\u3067\u691c\u7d22\u3059\u308b\u3053\u3068\u3067\u3001\u6b63\u3057\u3044\u7d50\u679c\u3092\u5f97\u308b\u3053\u3068\u304c\u3067\u304d\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u307e\u3068\u3081<\/h2>\n\n\n\n<p>\u672c\u7a3f\u3067\u306f\u4ee5\u524d\u306e\u8a18\u4e8b\u3067\u4f5c\u6210\u3057\u305f\u300c<a href=\"https:\/\/www.creationline.com\/tech-blog\/75952\" target=\"_blank\" rel=\"noreferrer noopener\">\u751f\u6210AI\u4ed8Slack\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8<\/a>\u300d\u306bMCP\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u3092\u7d44\u307f\u8fbc\u307f\u3001MCP\u30b5\u30fc\u30d0\u3092\u5229\u7528\u3057\u3066\u4f1a\u8a71\u5185\u5bb9\u3092\u51e6\u7406\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u3066\u307f\u307e\u3057\u305f\u3002<\/p>\n\n\n\n<p>MCP\u3068\u3044\u3046\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3092\u7528\u3044\u308b\u3053\u3068\u306b\u3088\u308a\u3001\u30c1\u30e3\u30c3\u30c8\u30dc\u30c3\u30c8\u306b\u3055\u307e\u3056\u307e\u306a\u6a5f\u80fd\u3092\u7c21\u5358\u306b\u8ffd\u52a0\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u307e\u3067\u306f\u72ec\u81ea\u306b\u30b7\u30b9\u30c6\u30e0\u3092\u69cb\u6210\u3057\u306a\u3051\u308c\u3070\u3044\u3051\u306a\u304b\u3063\u305f\u3068\u3053\u308d\u304c\u3001\u3068\u3066\u3082\u7c21\u5358\u306b\u306a\u3063\u305f\u3068\u611f\u3058\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u4e00\u65b9\u3067\u3001MCP\u306b\u95a2\u3057\u3066\u306f\u591a\u304f\u306e\u5b89\u5168\u4e0a\u306e\u61f8\u5ff5\u70b9\u304c\u63d0\u8d77\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u4f8b\u3048\u3070\u3001\u4eca\u56de\u306e\u4f8b\u306e\u3088\u3046\u306b\u8907\u6570\u306eMCP\u30b5\u30fc\u30d0\u3092\u7d44\u307f\u8fbc\u3093\u3060\u5834\u5408\u3001\u4e88\u671f\u305b\u306cMCP\u30b5\u30fc\u30d0\u306b\u30e1\u30c3\u30bb\u30fc\u30b8\u304c\u8ee2\u9001\u3055\u308c\u3066\u3057\u307e\u3046\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u3053\u3067\u306f\u300c\u73fe\u5728\u6642\u523b\u300d\u3068\u300c\u30a6\u30a7\u30d6\u691c\u7d22\u300d\u306e\u7d44\u307f\u5408\u308f\u305b\u3060\u3063\u305f\u306e\u3067\u3001\u73fe\u5728\u6642\u523b\u306e\u554f\u3044\u5408\u308f\u305b\u306e\u3064\u3082\u308a\u304c\u30a6\u30a7\u30d6\u691c\u7d22\u306b\u6d41\u308c\u3066\u3057\u307e\u3063\u3066\u3082\u554f\u984c\u3042\u308a\u307e\u305b\u3093\u304c\u3001\u300c\u9867\u5ba2\u60c5\u5831\u300d\u3068\u300c\u30a6\u30a7\u30d6\u691c\u7d22\u300d\u306e\u7d44\u307f\u5408\u308f\u305b\u3060\u3063\u305f\u3089\uff1f \u9867\u5ba2\u60c5\u5831\u304c\u30a6\u30a7\u30d6\u691c\u7d22\u306b\u6d41\u308c\u3066\u3044\u3063\u3066\u3057\u307e\u3046\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002\u7d44\u307f\u8fbc\u307f\u306f\u7c21\u5358\u306b\u306a\u308a\u307e\u3057\u305f\u304c\u3001\u7c21\u5358\u306a\u3076\u3093\u3001\u601d\u308f\u306c\u4e8b\u614b\u3092\u5f15\u304d\u8d77\u3053\u3057\u3084\u3059\u304f\u306a\u3063\u305f\u3068\u8a00\u3048\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002<\/p>\n\n\n\n<p>MCP\u306f\u307e\u3060\u307e\u3060\u6539\u5584\u306e\u4f59\u5730\u304c\u3042\u308a\u307e\u3059\u304c\u3001\u30c7\u30d5\u30a1\u30af\u30c8\u30b9\u30bf\u30f3\u30c0\u30fc\u30c9\u306b\u306a\u308b\u3068\u898b\u8d8a\u3055\u308c\u3066\u3044\u308b\u305f\u3081\u3001\u65e9\u3081\u306b\u30c6\u30b9\u30c8\u3057\u3001\u3069\u306e\u3088\u3046\u306a\u5229\u70b9\u3084\u6539\u5584\u70b9\u304c\u3042\u308b\u306e\u304b\u77e5\u3063\u3066\u304a\u304f\u3068\u3088\u3044\u3068\u8003\u3048\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u5f15\u304d\u7d9a\u304d\u3001\u751f\u6210AI\u3068MCP\u306e\u52d5\u5411\u3092\u8ffd\u3063\u3066\u3044\u304d\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u306f\u3058\u3081\u306b \u751f\u6210AI\u30c1\u30e3\u30c3\u30c8Claude\u3084\u751f\u6210AI\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u30c4\u30fc\u30ebClaude Code\u3067\u8457\u540d\u306aAnthropic\u304c\u3001Model Context Protocol (MCP)\u3092\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u5316\u3057\u3066\u304b\u3089\u30012025\u5e7411\u6708\u3067 [&#8230;]<\/p>\n","protected":false},"author":2,"featured_media":80512,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[779,817,31,1004,323],"tags":[],"class_list":["post-80508","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-chatgpt-ai","category-higuchi","category-llm","category-python"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ 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Context Protocl)\u3092\u4f7f\u3063\u3066\u307f\u3088\u3046 #langchain #mcp #ai #llm #slack - Tech Blog\uff5c\u30af\u30ea\u30a8\u30fc\u30b7\u30e7\u30f3\u30e9\u30a4\u30f3\" \/>\n<meta property=\"og:description\" content=\"AI, ChatGPT\uff06AI, d-higuchi, LLM, Python |\u306f\u3058\u3081\u306b \u751f\u6210AI\u30c1\u30e3\u30c3\u30c8Claude\u3084\u751f\u6210AI\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u30c4\u30fc\u30ebClaude Code\u3067\u8457\u540d\u306aAnthropic\u304c\u3001Model Context\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.creationline.com\/tech-blog\/chatgpt-ai\/80508\" \/>\n<meta property=\"og:site_name\" content=\"Tech Blog\uff5c\u30af\u30ea\u30a8\u30fc\u30b7\u30e7\u30f3\u30e9\u30a4\u30f3\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/creationline\" \/>\n<meta property=\"article:published_time\" content=\"2025-11-11T23:00:00+00:00\" \/>\n<meta property=\"og:image\" 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