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GitHub MCP Server

name: github-mcp

by buddhasource · published 2026-03-22

开发工具数据处理加密货币
Total installs
0
Stars
★ 0
Last updated
2026-03
// Install command
$ claw add gh:buddhasource/buddhasource-github-mcp
View on GitHub
// Full documentation

---

name: github-mcp

description: GitHub MCP Server for repository management, file operations, PR/issue tracking, branch management, and GitHub API integration. Enable AI agents to clone repos, read code, create/update files, manage issues and pull requests, search code, and interact with the GitHub platform. Essential for development workflows, code review automation, CI/CD management, and repository operations. Use when agents need to work with Git repositories, manage development workflows, automate GitHub tasks, or interact with source code.

---

# GitHub MCP Server

> **Complete GitHub Integration for AI Agents**

Connect AI agents to GitHub for repository management, code operations, issue tracking, pull requests, and the full GitHub API.

Why GitHub MCP?

🤖 Agent-Native GitHub Workflows

Enable agents to perform complex GitHub operations that previously required manual API integration:

  • Clone and navigate repositories
  • Read and modify files
  • Create issues and pull requests
  • Review code and discussions
  • Manage branches and releases
  • 🔐 Secure Authentication

    OAuth-based authentication with fine-grained permissions. Agents access only what you authorize.

    📦 Zero Setup for Common Operations

    Pre-configured tools for the most common GitHub workflows. No manual API calls required.

    Installation

    Option 1: Official MCP Server (Archived - Community Maintained)

    # Community-maintained GitHub MCP server
    npm install -g @modelcontextprotocol/server-github
    
    # Or build from source
    git clone https://github.com/modelcontextprotocol/servers-archived
    cd servers-archived/src/github
    npm install
    npm run build

    Option 2: Third-Party Implementations

    Several community implementations available. Check the [MCP Registry](https://registry.modelcontextprotocol.io/) for current options.

    Configuration

    Add to your MCP client config:

    {
      "mcpServers": {
        "github": {
          "command": "npx",
          "args": ["-y", "@modelcontextprotocol/server-github"],
          "env": {
            "GITHUB_PERSONAL_ACCESS_TOKEN": "ghp_your_token_here"
          }
        }
      }
    }

    Get GitHub Token

    1. Go to https://github.com/settings/tokens

    2. Generate new token (classic) or fine-grained token

    3. Select scopes:

    - `repo` - Full repository access

    - `read:user` - Read user profile

    - `read:org` - Read organization data (if needed)

    **Fine-Grained Token** (recommended):

  • Repository permissions: Contents (Read/Write), Issues (Read/Write), Pull Requests (Read/Write)
  • Organization permissions: Members (Read) if accessing org repos
  • Available Tools

    Repository Operations

    #### 1. **Create Repository**

    Agent: "Create a new repository called 'my-project'"

    #### 2. **Clone Repository**

    Agent: "Clone the OpenAI GPT-4 repository"

    #### 3. **List Repository Files**

    Agent: "What files are in the src/ directory?"

    File Operations

    #### 4. **Read File**

    Agent: "Show me the README.md file"
    Agent: "Read the contents of src/index.ts"

    #### 5. **Create/Update File**

    Agent: "Create a new file docs/API.md with API documentation"
    Agent: "Update the version in package.json to 2.0.0"

    #### 6. **Search Code**

    Agent: "Search for files containing 'authentication logic'"
    Agent: "Find where the DatabaseConnection class is defined"

    Issue & PR Management

    #### 7. **Create Issue**

    Agent: "Create an issue: 'Add dark mode support'"

    #### 8. **List Issues**

    Agent: "Show me all open bugs"
    Agent: "What issues are assigned to me?"

    #### 9. **Create Pull Request**

    Agent: "Create a PR to merge feature/login into main"

    #### 10. **Review Pull Request**

    Agent: "Review PR #42 and check for security issues"

    Branch Operations

    #### 11. **Create Branch**

    Agent: "Create a new branch called 'feature/user-auth'"

    #### 12. **List Branches**

    Agent: "Show all branches in this repo"

    #### 13. **Merge Branch**

    Agent: "Merge 'develop' into 'main'"

    Advanced Operations

    #### 14. **Create Release**

    Agent: "Create a release v2.0.0 with the latest changes"

    #### 15. **Search Repositories**

    Agent: "Find popular React component libraries"

    #### 16. **Fork Repository**

    Agent: "Fork the Vue.js repository to my account"

    Agent Workflow Examples

    Code Review Automation

    Human: "Review all PRs and flag security issues"
    
    Agent:
    1. list_pull_requests(state="open")
    2. For each PR:
       - get_pull_request(pr_number)
       - read_changed_files()
       - analyze for security vulnerabilities
       - create_review_comment(security_findings)

    Issue Triage

    Human: "Label all new issues with 'needs-triage'"
    
    Agent:
    1. list_issues(state="open", labels=null)
    2. For each unlabeled issue:
       - read_issue(issue_number)
       - add_label("needs-triage")

    Release Automation

    Human: "Prepare v2.0.0 release"
    
    Agent:
    1. create_branch("release/v2.0.0")
    2. update_file("package.json", version="2.0.0")
    3. update_file("CHANGELOG.md", new_release_notes)
    4. create_pull_request("release/v2.0.0" -> "main")
    5. create_release(tag="v2.0.0", notes=changelog)

    Documentation Sync

    Human: "Update documentation from code comments"
    
    Agent:
    1. search_code(query="* @description")
    2. extract_docstrings()
    3. generate_markdown_docs()
    4. update_file("docs/API.md", generated_docs)
    5. create_pull_request("Update API documentation")

    Use Cases

    🛠️ Development Assistants

    Agents that help developers with repetitive GitHub tasks: creating issues, managing labels, updating documentation, code review.

    🤖 CI/CD Automation

    Build agents that trigger workflows, check build status, create releases, manage deployments.

    📊 Repository Analytics

    Analyze code quality, track issue resolution time, monitor PR velocity, generate reports.

    🔍 Code Search & Discovery

    Find code patterns, identify dependencies, discover similar implementations, locate technical debt.

    📝 Documentation Automation

    Sync code comments to docs, generate API references, update changelogs, maintain README files.

    Security Best Practices

    ✅ Use Fine-Grained Tokens

    Prefer fine-grained tokens over classic PATs. Limit scope to specific repositories and permissions.

    ✅ Read-Only When Possible

    If the agent only needs to read code/issues, grant read-only access.

    ✅ Environment Variables

    Never hard-code tokens. Always use environment variables.

    ✅ Token Rotation

    Rotate tokens regularly. Set expiration dates.

    ✅ Audit Agent Actions

    Monitor what the agent does. GitHub activity log tracks all API operations.

    Rate Limits

    **Authenticated Requests:**

  • 5,000 requests/hour (per user)
  • Search API: 30 requests/minute
  • **Best Practices:**

  • Cache repository data when possible
  • Batch operations where applicable
  • Use conditional requests (`If-None-Match` headers)
  • vs Manual GitHub API Integration

    | Task | Manual API | GitHub MCP |

    |------|------------|-----------|

    | **Setup Time** | Hours (auth, SDK, error handling) | Minutes (config file) |

    | **Code Required** | Yes (HTTP client, auth, parsing) | No (MCP tools auto-discovered) |

    | **Agent Integration** | Manual tool definitions | Automatic via MCP |

    | **Auth Management** | Custom implementation | Built-in OAuth flow |

    | **Error Handling** | Custom retry logic | Handled by server |

    Troubleshooting

    "Bad credentials" Error

  • Verify token has not expired
  • Ensure token has required scopes (`repo`, `read:user`)
  • Check token is correctly set in environment variable
  • "Resource not found" Error

  • Verify repository name format: `owner/repo`
  • Check agent has access to private repositories (if applicable)
  • Ensure branch/file path exists
  • Rate Limit Errors

  • Wait for rate limit reset (check `X-RateLimit-Reset` header)
  • Reduce query frequency
  • Consider GitHub Apps for higher limits
  • Resources

  • **MCP Registry**: https://registry.modelcontextprotocol.io/
  • **GitHub API Docs**: https://docs.github.com/en/rest
  • **Create Token**: https://github.com/settings/tokens
  • **Rate Limits**: https://docs.github.com/en/rest/overview/rate-limits-for-the-rest-api
  • Advanced Configuration

    {
      "mcpServers": {
        "github": {
          "command": "node",
          "args": ["/path/to/github-mcp/build/index.js"],
          "env": {
            "GITHUB_PERSONAL_ACCESS_TOKEN": "ghp_xxx",
            "GITHUB_API_URL": "https://api.github.com",
            "DEFAULT_BRANCH": "main",
            "AUTO_PAGINATION": "true"
          }
        }
      }
    }

    ---

    **The GitHub integration every coding agent needs**: From code review to release automation, GitHub MCP brings the full power of GitHub to AI agents.

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