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Showing content from https://docs.github.com/en/copilot/concepts/coding-agent/mcp-and-coding-agent below:

Model Context Protocol (MCP) and GitHub Copilot coding agent

Find out about using the Model Context Protocol (MCP) with Copilot coding agent.

Overview

The Model Context Protocol (MCP) is an open standard that defines how applications share context with large language models (LLMs). MCP provides a standardized way to connect AI models to different data sources and tools, enabling them to work together more effectively.

You can use MCP to extend the capabilities of Copilot coding agent by connecting it to other tools and services.

The agent can use tools provided by local and remote MCP servers. Some MCP servers are configured by default to provide the best experience for getting started.

For more information on MCP, see the official MCP documentation. For information on some of the currently available MCP servers, see the MCP servers repository.

Note

Default MCP servers

The following MCP servers are configured automatically for Copilot coding agent:

Setting up MCP servers in a repository

Repository administrators can configure MCP servers for use within that repository. This is done via a JSON-formatted configuration that specifies the details of the MCP servers that Copilot coding agent can use.

Once MCP servers are configured for use within a repository, the tools specified in the configuration will be available to Copilot coding agent during each assigned task.

Copilot will use available tools autonomously, and will not ask for approval before use.

For details of how to set up MCP servers for Copilot coding agent in a repository, see Extending GitHub Copilot coding agent with the Model Context Protocol (MCP).

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