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MCP Server for Copilot Studio Agents

@CrewAakash

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

CrewAakash

关于 MCP Server for Copilot Studio Agents

MCP server wrapper for the agents built using MSFT Copilot studio

#microsoft#mcs#copilot

MCP Server for Copilot Studio Agents 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "agent-name": {
      "command": "uv",
      "args": [
        "--directory",
        "<PATH_TO_THE_PARENT_FOLDER>",
        "run",
        "mcp",
        "run",
        "<PATH_TO_THE_PARENT_FOLDER>/src/main.py"
      ],
      "env": {
        "DIRECTLINE_ENDPOINT": "endpoint-url",
        "COPILOT_AGENT_SECRET": "secret-key"
      }
    }
  }
}

MCP Server for Copilot Studio Agents 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is 🤖 MCP Server for Copilot Studio Agents?

An MCP server that connects to Microsoft Copilot Studio agents via the DirectLine API, enabling any MCP-compatible client to send queries and receive responses while maintaining conversation context.

How to use 🤖 MCP Server for Copilot Studio Agents?

Install with uv or pip, set the required environment variables DIRECTLINE_ENDPOINT and COPILOT_AGENT_SECRET, configure agent definitions in src/main.py, then run the server with mcp dev src/main.py or via a client like Claude Desktop using the provided JSON configuration.

Key features of 🤖 MCP Server for Copilot Studio Agents

  • Connects to Copilot Studio agents through DirectLine API
  • Maintains conversation context across multiple queries
  • Provides a single query_agent tool for interaction
  • Supports stateful conversations with conversation ID and watermark tracking
  • Configurable agent definitions with name and description
  • Works with any MCP-compatible client

Use cases of 🤖 MCP Server for Copilot Studio Agents

  • Send queries to a Copilot Studio agent and receive structured responses
  • Build multi-turn conversations with persistent context
  • Integrate Copilot Studio agents into AI assistants like Claude Desktop
  • Test and debug agent interactions using MCP Inspector

常见问题

1

What does this server do?

It exposes a Copilot Studio agent as an MCP tool, allowing any MCP client to query the agent and maintain conversation history.

2

What are the prerequisites to use this server?

You need Python 3.12+, a Copilot Studio agent with Direct Line channel security configured, and the environment variables `DIRECTLINE_ENDPOINT` and `COPILOT_AGENT_SECRET`.

3

What tools does the server expose?

It exposes one tool: `query_agent`, which sends a query to the Copilot Studio agent and returns a structured response with success/error status.

4

How do I use it with Claude Desktop?

Add a JSON entry to `claude_desktop_config.json` under `mcpServers`, specifying the command (uv, python, or docker) and the required environment variables.

5

Does the server store any data or state?

Conversation state (conversation IDs and watermarks) is maintained in memory across queries for the duration of the session; no persistent storage is described.

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