Copilot IA reorg (#57484)
Co-authored-by: SiaraMist <siaramist@github.com> Co-authored-by: Siara <108543037+SiaraMist@users.noreply.github.com> Co-authored-by: Joe Clark <31087804+jc-clark@users.noreply.github.com>
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Jenni C
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content/copilot/concepts/context/mcp.md
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content/copilot/concepts/context/mcp.md
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---
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title: About Model Context Protocol (MCP)
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allowTitleToDifferFromFilename: true
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shortTitle: MCP
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intro: Model Context Protocol (MCP) is a protocol that allows you to extend the capabilities of {% data variables.product.prodname_copilot %} by integrating it with other systems.
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versions:
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feature: copilot
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topics:
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- Copilot
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contentType: concepts
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redirect_from:
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- /copilot/concepts/about-mcp
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---
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## Overview of Model Context Protocol (MCP)
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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.
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You can use MCP to extend the capabilities of {% data variables.copilot.copilot_chat_short %} by integrating it with a wide range of existing tools and services. For example, the {% data variables.product.github %} MCP server allows you to use {% data variables.copilot.copilot_chat_short %} in your IDE to perform tasks on {% data variables.product.github %}. You can also use MCP to create new tools and services that work with {% data variables.copilot.copilot_chat_short %}, allowing you to customize and enhance your experience.
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For more information on MCP, see [the official MCP documentation](https://modelcontextprotocol.io/introduction). For information on currently available MCP servers, see [the MCP servers repository](https://github.com/modelcontextprotocol/servers/tree/main).
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To learn how to configure and use MCP servers with {% data variables.copilot.copilot_chat_short %}, see [AUTOTITLE](/copilot/how-tos/context/model-context-protocol/extending-copilot-chat-with-mcp).
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{% data reusables.copilot.mcp.mcp-policy %}
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## About the {% data variables.product.github %} MCP server
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The {% data variables.product.github %} MCP server is a Model Context Protocol (MCP) server provided and maintained by {% data variables.product.github %}.
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{% data variables.product.github %} MCP server can be used to:
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* Automate and streamline code-related tasks.
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* Connect third-party tools (like Cursor, Windsurf, or future integrations) to leverage {% data variables.product.github %}’s context and AI capabilities.
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* Enable cloud-based workflows that work from any device, without local setup.
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* Invoke {% data variables.product.github %} tools, such as {% data variables.copilot.copilot_coding_agent %} (requires {% data variables.product.prodname_copilot %} subscription) and {% data variables.product.prodname_code_scanning %} (requires {% data variables.product.prodname_GHAS %} subscription), to assist with code generation and security analysis.
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For all public repositories, and private repositories covered by {% data variables.product.prodname_GHAS %}, interactions with the {% data variables.product.github %} MCP server are secured by push protection, which blocks secrets from being included in AI-generated responses and prevents you from exposing secrets through any actions you perform using the server, such as creating an issue. See [AUTOTITLE](/code-security/secret-scanning/working-with-secret-scanning-and-push-protection/working-with-push-protection-and-the-github-mcp-server).
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You can access the {% data variables.product.github %} MCP server remotely through {% data variables.copilot.copilot_chat_short %} in {% data variables.product.github %}, {% data variables.product.prodname_vscode %}, or other editors that support remote MCP; or you can run it locally in any MCP-compatible editor, allowing you to choose between the convenience of a hosted solution or the customizability of a self-hosted setup.
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If you want to utilize the remote {% data variables.product.github %} MCP server, you can do so in a few steps, without any local setup. This is particularly useful for users who want to quickly leverage {% data variables.product.github %}’s AI capabilities without the overhead of managing a local MCP server.
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Running the {% data variables.product.github %} MCP server locally requires a bit more setup, but it allows for greater customization and control over your AI interactions.
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To learn how to set up and use the {% data variables.product.github %} MCP server, see [AUTOTITLE](/copilot/how-tos/context/model-context-protocol/using-the-github-mcp-server).
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## Availability
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There is currently broad support for local MCP servers in clients such as {% data variables.product.prodname_vscode %}, JetBrains IDEs, XCode, and others.
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Support for remote MCP servers is growing, with editors like {% data variables.product.prodname_vscode %}, {% data variables.product.prodname_vs %}, JetBrains IDEs, Xcode, Eclipse, and Cursor providing this functionality with OAuth or PAT, and Windsurf supporting PAT only.
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To find out if your preferred editor supports remote MCP servers, check the documentation for your specific editor.
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## Next steps
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* [AUTOTITLE](/copilot/how-tos/context/model-context-protocol/extending-copilot-chat-with-mcp)
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* [AUTOTITLE](/copilot/how-tos/context/model-context-protocol/using-the-github-mcp-server)
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* [AUTOTITLE](/copilot/tutorials/enhancing-copilot-agent-mode-with-mcp)
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