MCP.so
ログイン

GitHub GraphQL API MCP

@wanzunz

リポジトリ

GitHub GraphQL API MCP について

A Model Control Protocol (MCP) server for exploring the GitHub GraphQL schema and executing optimized queries. Provides AI assistants with efficient GitHub data retrieval capabilities through GraphQL.

#github#graphql#api#mcp#data-retrieval

基本情報

カテゴリ

バージョン管理

ランタイム

python

トランスポート

stdio

公開者

wanzunz

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "github_graphql_api_mcp": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is GitHub GraphQL API MCP?

An MCP (Model Control Protocol) server that enables querying and using the GitHub GraphQL API. It allows users to explore the GraphQL schema, view type documentation, and execute custom GraphQL queries through MCP clients like Claude AI.

How to use GitHub GraphQL API MCP?

Clone the repository, install dependencies with Poetry (poetry install), activate the virtual environment, create a .env file with a GITHUB_TOKEN, and run python github_graphql_api_mcp_server.py. For one-click startup, configure the server in the Claude desktop app by providing the Python interpreter path, project directory, and script name.

Key features of GitHub GraphQL API MCP

  • Query GitHub GraphQL schema root types (Query/Mutation)
  • Get detailed documentation for specific types and fields
  • Execute GitHub GraphQL API queries directly
  • Precisely retrieve needed data, reducing token consumption
  • Bilingual support (English and Chinese)

Use cases of GitHub GraphQL API MCP

  • Query repository basic information (name, description, star count, branches)
  • Retrieve issue lists, details, and comments for a repository
  • Access user profiles and contribution statistics
  • View pull request status, comments, and merge info
  • Analyze repository contribution trends and dependency health

FAQ from GitHub GraphQL API MCP

What are the prerequisites?

Python 3.10 or higher, a GitHub personal access token, and Poetry (recommended) for dependency management.

How do I set up authentication?

Create a .env file in the project root with GITHUB_TOKEN="your_github_token_here". Do not commit this file to version control.

What tools does the server provide?

It provides four tools: print_type_field (query fields of root types), graphql_schema_root_type (documentation for Query/Mutation), graphql_schema_type (documentation for specific types), and call_github_graphql (execute custom GraphQL queries).

How can I start the server for use with Claude Desktop?

Configure mcpServers in Claude desktop settings with the Python interpreter path, the --directory argument pointing to the project folder, and run github_graphql_api_mcp_server.py. Example configurations are provided in the README.

What are the advantages of using GraphQL over REST for the GitHub API?

GraphQL allows precise data retrieval (only needed fields), reduces token consumption, enables single-request access to multiple related resources, is self-documenting, and has a strong type system to reduce errors.

コメント

「バージョン管理」の他のコンテンツ

Linear MCP Server

jerhadf

A server that integrates Linear's project management system with the Model Context Protocol (MCP) to allow LLMs to interact with Linear.

345

Atlassian Data Center MCP

b1ff

MCP servers for the Atlassian products (Bitbucket, Confluence, JIRA) of the Data Center version

81

MCP Linear

tacticlaunch

MCP server that enables AI assistants to interact with Linear project management system through natural language, allowing users to retrieve, create, and update issues, projects, and teams.

141

Github Mcp Server

github

GitHub's official MCP Server

31.3K

Atlassian Jira MCP Server

aashari

Node.js/TypeScript MCP server for Atlassian Jira. Equips AI systems (LLMs) with tools to list/get projects, search/get issues (using JQL/ID), and view dev info (commits, PRs). Connects AI capabilities directly into Jira project management and issue tracking workflows.

72