GitHub MCP Server

The GitHub MCP Server connects AI tools directly to GitHub’s platform. This gives AI agents, assistants, and chatbots the ability to read repositories and code files, manage issues and PRs, analyze code, and automate workflows. All through natural language interactions.

Use Cases

• Repository Management: Browse and query code, search files, analyze commits, and understand project structure across any repository you have access to.
• Issue & PR Automation: Create, update, and manage issues and pull requests. Let AI help triage bugs, review code changes, and maintain project boards.
• CI/CD & Workflow Intelligence: Monitor GitHub Actions workflow runs, analyze build failures, manage releases, and get insights into your development pipeline.
• Code Analysis: Examine security findings, review Dependabot alerts, understand code patterns, and get comprehensive insights into your codebase.
• Team Collaboration: Access discussions, manage notifications, analyze team activity, and streamline processes for your team.

Built for developers who want to connect their AI tools to GitHub context and capabilities, from simple natural language queries to complex multi-step agent workflows.

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Remote GitHub MCP Server

The remote GitHub MCP Server is hosted by GitHub and provides the easiest method for getting up and running. If your MCP host does not support remote MCP servers, don’t worry! You can use the local version of the GitHub MCP Server instead.

Prerequisites

1. A compatible MCP host with remote server support (VS Code 1.101+, Claude Desktop, Cursor, Windsurf, etc.)
2. Any applicable policies enabled

Install in VS Code

For quick installation, use one of the one-click install buttons above. Once you complete that flow, toggle Agent mode (located by the Copilot Chat text input) and the server will start. Make sure you’re using VS Code 1.101 or later for remote MCP and OAuth support.

Alternatively, to manually configure VS Code, choose the appropriate JSON block from the examples below and add it to your host configuration:

Install in other MCP hosts

• GitHub Copilot in other IDEs - Installation for JetBrains, Visual Studio, Eclipse, and Xcode with GitHub Copilot
• Claude Applications - Installation guide for Claude Web, Claude Desktop and Claude Code CLI
• Cursor - Installation guide for Cursor IDE
• Windsurf - Installation guide for Windsurf IDE

Note: Each MCP host application needs to configure a GitHub App or OAuth App to support remote access via OAuth. Any host application that supports remote MCP servers should support the remote GitHub server with PAT authentication. Configuration details and support levels vary by host. Make sure to refer to the host application’s documentation for more info.

Configuration

Toolset configuration

See Remote Server Documentation for full details on remote server configuration, toolsets, headers, and advanced usage. This file provides comprehensive instructions and examples for connecting, customizing, and installing the remote GitHub MCP Server in VS Code and other MCP hosts.

When no toolsets are specified, default toolsets are used.

GitHub Enterprise

GitHub Enterprise Cloud with data residency (ghe.com)

GitHub Enterprise Cloud can also make use of the remote server.

Example for https://octocorp.ghe.com with GitHub PAT token:

{
    ...
    "proxima-github": {
      "type": "http",
      "url": "https://copilot-api.octocorp.ghe.com/mcp",
      "headers": {
        "Authorization": "Bearer ${input:github_mcp_pat}"
      }
    },
    ...
}

Note: When using OAuth with GitHub Enterprise with VS Code and GitHub Copilot, you also need to configure your VS Code settings to point to your GitHub Enterprise instance - see Authenticate from VS Code

GitHub Enterprise Server

GitHub Enterprise Server does not support remote server hosting. Please refer to GitHub Enterprise Server and Enterprise Cloud with data residency (ghe.com) from the local server configuration.

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Local GitHub MCP Server

Prerequisites

1. To run the server in a container, you will need to have Docker installed.
2. Once Docker is installed, you will also need to ensure Docker is running. The image is public; if you get errors on pull, you may have an expired token and need to docker logout ghcr.io.
3. Lastly you will need to Create a GitHub Personal Access Token. The MCP server can use many of the GitHub APIs, so enable the permissions that you feel comfortable granting your AI tools (to learn more about access tokens, please check out the documentation).

GitHub Enterprise Server and Enterprise Cloud with data residency (ghe.com)

The flag --gh-host and the environment variable GITHUB_HOST can be used to set the hostname for GitHub Enterprise Server or GitHub Enterprise Cloud with data residency.

• For GitHub Enterprise Server, prefix the hostname with the https:// URI scheme, as it otherwise defaults to http://, which GitHub Enterprise Server does not support.
• For GitHub Enterprise Cloud with data residency, use https://YOURSUBDOMAIN.ghe.com as the hostname.

"github": {
    "command": "docker",
    "args": [
    "run",
    "-i",
    "--rm",
    "-e",
    "GITHUB_PERSONAL_ACCESS_TOKEN",
    "-e",
    "GITHUB_HOST",
    "ghcr.io/github/github-mcp-server"
    ],
    "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "${input:github_token}",
        "GITHUB_HOST": "https://"
    }
}

Installation

Install in GitHub Copilot on VS Code

For quick installation, use one of the one-click install buttons above. Once you complete that flow, toggle Agent mode (located by the Copilot Chat text input) and the server will start.

More about using MCP server tools in VS Code’s agent mode documentation.

Install in GitHub Copilot on other IDEs (JetBrains, Visual Studio, Eclipse, etc.)

Add the following JSON block to your IDE’s MCP settings.

{
  "mcp": {
    "inputs": [
      {
        "type": "promptString",
        "id": "github_token",
        "description": "GitHub Personal Access Token",
        "password": true
      }
    ],
    "servers": {
      "github": {
        "command": "docker",
        "args": [
          "run",
          "-i",
          "--rm",
          "-e",
          "GITHUB_PERSONAL_ACCESS_TOKEN",
          "ghcr.io/github/github-mcp-server"
        ],
        "env": {
          "GITHUB_PERSONAL_ACCESS_TOKEN": "${input:github_token}"
        }
      }
    }
  }
}

Optionally, you can add a similar example (i.e. without the mcp key) to a file called .vscode/mcp.json in your workspace. This will allow you to share the configuration with other host applications that accept the same format.

Install in Other MCP Hosts

For other MCP host applications, please refer to our installation guides:

• GitHub Copilot in other IDEs - Installation for JetBrains, Visual Studio, Eclipse, and Xcode with GitHub Copilot
• Claude Code & Claude Desktop - Installation guide for Claude Code and Claude Desktop
• Cursor - Installation guide for Cursor IDE
• Google Gemini CLI - Installation guide for Google Gemini CLI
• Windsurf - Installation guide for Windsurf IDE

For a complete overview of all installation options, see our Installation Guides Index.

Note: Any host application that supports local MCP servers should be able to access the local GitHub MCP server. However, the specific configuration process, syntax and stability of the integration will vary by host application. While many may follow a similar format to the examples above, this is not guaranteed. Please refer to your host application’s documentation for the correct MCP configuration syntax and setup process.

Build from source

If you don’t have Docker, you can use go build to build the binary in the cmd/github-mcp-server directory, and use the github-mcp-server stdio command with the GITHUB_PERSONAL_ACCESS_TOKEN environment variable set to your token. To specify the output location of the build, use the -o flag. You should configure your server to use the built executable as its command. For example:

{
  "mcp": {
    "servers": {
      "github": {
        "command": "/path/to/github-mcp-server",
        "args": ["stdio"],
        "env": {
          "GITHUB_PERSONAL_ACCESS_TOKEN": ""
        }
      }
    }
  }
}

Tool Configuration

The GitHub MCP Server supports enabling or disabling specific groups of functionalities via the --toolsets flag. This allows you to control which GitHub API capabilities are available to your AI tools. Enabling only the toolsets that you need can help the LLM with tool choice and reduce the context size.

Toolsets are not limited to Tools. Relevant MCP Resources and Prompts are also included where applicable.

When no toolsets are specified, default toolsets are used.

Looking for examples? See the Server Configuration Guide for common recipes like minimal setups, read-only mode, and combining tools with toolsets.

Specifying Toolsets

To specify toolsets you want available to the LLM, you can pass an allow-list in two ways:

1. Using Command Line Argument:

   github-mcp-server --toolsets repos,issues,pull_requests,actions,code_security
   

2. Using Environment Variable:

   GITHUB_TOOLSETS="repos,issues,pull_requests,actions,code_security" ./github-mcp-server
   

The environment variable GITHUB_TOOLSETS takes precedence over the command line argument if both are provided.

Specifying Individual Tools

You can also configure specific tools using the --tools flag. Tools can be used independently or combined with toolsets and dynamic toolsets discovery for fine-grained control.

1. Using Command Line Argument:

   github-mcp-server --tools get_file_contents,issue_read,create_pull_request
   

2. Using Environment Variable:

   GITHUB_TOOLS="get_file_contents,issue_read,create_pull_request" ./github-mcp-server
   

3. Combining with Toolsets (additive):

   github-mcp-server --toolsets repos,issues --tools get_gist
   

   This registers all tools from repos and issues toolsets, plus get_gist.

4. Combining with Dynamic Toolsets (additive):

   github-mcp-server --tools get_file_contents --dynamic-toolsets
   

   This registers get_file_contents plus the dynamic toolset tools (enable_toolset, list_available_toolsets, get_toolset_tools).

Important Notes:

• Tools, toolsets, and dynamic toolsets can all be used together
• Read-only mode takes priority: write tools are skipped if --read-only is set, even if explicitly requested via --tools
• Tool names must match exactly (e.g., get_file_contents, not getFileContents). Invalid tool names will cause the server to fail at startup with an error message
• When tools are renamed, old names are preserved as aliases for backward compatibility. See Deprecated Tool Aliases for details.

Using Toolsets With Docker

When using Docker, you can pass the toolsets as environment variables:

docker run -i --rm \
  -e GITHUB_PERSONAL_ACCESS_TOKEN= \
  -e GITHUB_TOOLSETS="repos,issues,pull_requests,actions,code_security,experiments" \
  ghcr.io/github/github-mcp-server

Using Tools With Docker

When using Docker, you can pass specific tools as environment variables. You can also combine tools with toolsets:

# Tools only
docker run -i --rm \
  -e GITHUB_PERSONAL_ACCESS_TOKEN= \
  -e GITHUB_TOOLS="get_file_contents,issue_read,create_pull_request" \
  ghcr.io/github/github-mcp-server

# Tools combined with toolsets (additive)
docker run -i --rm \
  -e GITHUB_PERSONAL_ACCESS_TOKEN= \
  -e GITHUB_TOOLSETS="repos,issues" \
  -e GITHUB_TOOLS="get_gist" \
  ghcr.io/github/github-mcp-server

Special toolsets

“all” toolset

The special toolset all can be provided to enable all available toolsets regardless of any other configuration:

./github-mcp-server --toolsets all

Or using the environment variable:

GITHUB_TOOLSETS="all" ./github-mcp-server

“default” toolset

The default toolset default is the configuration that gets passed to the server if no toolsets are specified.

The default configuration is:

• context
• repos
• issues
• pull_requests
• users

To keep the default configuration and add additional toolsets:

GITHUB_TOOLSETS="default,stargazers" ./github-mcp-server

Available Toolsets

The following sets of tools are available:

Additional Toolsets in Remote GitHub MCP Server

Tools

Additional Tools in Remote GitHub MCP Server

Dynamic Tool Discovery

Note: This feature is currently in beta and is not available in the Remote GitHub MCP Server. Please test it out and let us know if you encounter any issues.

Instead of starting with all tools enabled, you can turn on dynamic toolset discovery. Dynamic toolsets allow the MCP host to list and enable toolsets in response to a user prompt. This should help to avoid situations where the model gets confused by the sheer number of tools available.

Using Dynamic Tool Discovery

When using the binary, you can pass the --dynamic-toolsets flag.

./github-mcp-server --dynamic-toolsets

When using Docker, you can pass the toolsets as environment variables:

docker run -i --rm \
  -e GITHUB_PERSONAL_ACCESS_TOKEN= \
  -e GITHUB_DYNAMIC_TOOLSETS=1 \
  ghcr.io/github/github-mcp-server

Read-Only Mode

To run the server in read-only mode, you can use the --read-only flag. This will only offer read-only tools, preventing any modifications to repositories, issues, pull requests, etc.

./github-mcp-server --read-only

When using Docker, you can pass the read-only mode as an environment variable:

docker run -i --rm \
  -e GITHUB_PERSONAL_ACCESS_TOKEN= \
  -e GITHUB_READ_ONLY=1 \
  ghcr.io/github/github-mcp-server

Lockdown Mode

Lockdown mode limits the content that the server will surface from public repositories. When enabled, the server checks whether the author of each item has push access to the repository. Private repositories are unaffected, and collaborators keep full access to their own content.

./github-mcp-server --lockdown-mode

When running with Docker, set the corresponding environment variable:

docker run -i --rm \
  -e GITHUB_PERSONAL_ACCESS_TOKEN= \
  -e GITHUB_LOCKDOWN_MODE=1 \
  ghcr.io/github/github-mcp-server

The behavior of lockdown mode depends on the tool invoked.

Following tools will return an error when the author lacks the push access:

• issue_read:get
• pull_request_read:get

Following tools will filter out content from users lacking the push access:

• issue_read:get_comments
• issue_read:get_sub_issues
• pull_request_read:get_comments
• pull_request_read:get_review_comments
• pull_request_read:get_reviews

i18n / Overriding Descriptions

The descriptions of the tools can be overridden by creating a github-mcp-server-config.json file in the same directory as the binary.

The file should contain a JSON object with the tool names as keys and the new descriptions as values. For example:

{
  "TOOL_ADD_ISSUE_COMMENT_DESCRIPTION": "an alternative description",
  "TOOL_CREATE_BRANCH_DESCRIPTION": "Create a new branch in a GitHub repository"
}

You can create an export of the current translations by running the binary with the --export-translations flag.

This flag will preserve any translations/overrides you have made, while adding any new translations that have been added to the binary since the last time you exported.

./github-mcp-server --export-translations
cat github-mcp-server-config.json

You can also use ENV vars to override the descriptions. The environment variable names are the same as the keys in the JSON file, prefixed with GITHUB_MCP_ and all uppercase.

For example, to override the TOOL_ADD_ISSUE_COMMENT_DESCRIPTION tool, you can set the following environment variable:

export GITHUB_MCP_TOOL_ADD_ISSUE_COMMENT_DESCRIPTION="an alternative description"

Library Usage

The exported Go API of this module should currently be considered unstable, and subject to breaking changes. In the future, we may offer stability; please file an issue if there is a use case where this would be valuable.

License

This project is licensed under the terms of the MIT open source license. Please refer to MIT for the full terms.