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.
@CrewAakash
Basic information
MCP server wrapper for the agents built using MSFT Copilot studio
Add this server to your MCP-compatible client using the configuration below.
{
"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"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
query_agent tool for interactionIt exposes a Copilot Studio agent as an MCP tool, allowing any MCP client to query the agent and maintain conversation history.
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`.
It exposes one tool: `query_agent`, which sends a query to the Copilot Studio agent and returns a structured response with success/error status.
Add a JSON entry to `claude_desktop_config.json` under `mcpServers`, specifying the command (uv, python, or docker) and the required environment variables.
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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