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MCP Github Cli

@michaelneale

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

michaelneale

关于 MCP Github Cli

a MCP server for github using the GH cli under the covers

MCP Github Cli 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-github-cli": {
      "command": "uvx",
      "args": [
        "mcp-github-cli"
      ]
    }
  }
}

MCP Github Cli 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。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is mcp-github-cli?

mcp-github-cli is an MCP server that provides focused GraphQL and REST API tools for interacting with GitHub. It leverages GitHub’s APIs to offer a streamlined set of powerful tools for retrieving rich data and performing common operations.

How to use mcp-github-cli?

Run with uvx mcp-github-cli from the command line. Prerequisites are installing the GitHub CLI (gh) and authenticating via gh auth login. Can be used with Goose or Claude. For a test run, execute uv run python main.py --test from the source directory.

Key features of mcp-github-cli

  • Get detailed authenticated user information via gh_get_me
  • Execute GraphQL queries for repos, users, PRs, and issues
  • Run custom GraphQL queries with gh_custom_graphql
  • Search repositories using the REST API
  • Create issues and pull requests via REST endpoints
  • List branches, commits, and repository contents

Use cases of mcp-github-cli

  • Retrieve the authenticated user’s GitHub profile
  • Get comprehensive repository information with a single GraphQL request
  • Search for repositories by language, stars, or other criteria
  • Create issues and pull requests programmatically from an MCP client
  • List branches and commits for a given repository

常见问题

1

What are the prerequisites?

Install the GitHub CLI (`gh`) via a package manager (e.g., `brew install gh` on macOS) and authenticate with `gh auth login`.

2

Can I use this server with Claude or Goose?

Yes, it can be used in Goose or Claude as an MCP server. Run it with `uvx mcp-github-cli`.

3

How do I test the server functionality?

Run `uv run python main.py --test` from the source directory. This verifies authentication, user info retrieval, GraphQL queries, REST searches, and other tools.

4

How do I publish an updated version?

Update the version in `pyproject.toml`, clean previous builds (`rm -rf dist/*`), build the package with `python -m build`, and upload to PyPI using `twine`.

5

What tools are available for custom queries?

You can execute custom GraphQL queries with `gh_custom_graphql(query, variables)` and custom REST API requests with `gh_rest_api(endpoint, method, data, query_params)`.

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