MCP server for GitHub

MCP server for GitHub is an application that provides AI assistants with access to GitHub via the standard Model Context Protocol (MCP). The server is deployed on a virtual machine in Yandex Cloud.

Key Features and Benefits

• Yandex AI Studio Integration. The MCP server integrates with AI Studio MCP Servers — connect it to your AI agents in just a few clicks.
• Repository Management. Enables AI assistants to create repositories, forks, branches, search repositories, and view file contents.
• Issues and Pull Requests. Create issues, pull requests, comments, and manage them via natural language.
• Code and Commit Search. Search code, users, and issues across all of GitHub using an AI assistant.
• Bearer Token Authorization. All requests to the MCP server are protected with a Bearer token stored in Yandex Lockbox.
• Secure Secret Storage. The GitHub personal access token is stored in Yandex Lockbox and retrieved at startup.
• Standard MCP Protocol. Uses the open Model Context Protocol for AI model interaction.
• HTTP with SSE Transport. The MCP server is accessible on port 8000 (HTTP with SSE).
• Minimal Resources. The application runs on a virtual machine with minimal configuration (2 vCPU, 2 GB RAM).
• Docker Containerization. The server runs in Docker containers (MCP + supergateway + nginx auth proxy).

1. Make sure you have a GitHub account.
2. Create a personal access token in GitHub with the necessary repository access permissions.
3. Create a secret in Yandex Lockbox to store the GitHub personal access token. The secret must contain a personal_access_token key with the token value.
4. Create a secret in Yandex Lockbox to store the Bearer token for authorization. The secret must contain a bearer_token key with an arbitrary token value.
5. Create a service account with the roles compute.editor, iam.serviceAccounts.admin, lockbox.payloadViewer, vpc.admin (the admin role includes all the specified roles).
6. In the management console select the Cloud Apps service.
7. In the left panel, select Application Store.
8. Select MCP GitHub and click the Use button.
9. Specify:
   • Application name.
   • (Optional) Application description.
   • The service account created earlier.
   • The cloud subnet where the virtual machine will be deployed.
   • Lockbox secret ID containing the Bearer token for authorization.
   • Lockbox secret ID containing the GitHub personal access token.
10. Click the Install button and wait for the application to install.
11. After installation, the MCP server will be available at http://<vm-ip>:8000.
12. Configure your AI client (Claude Desktop, Cursor, etc.) to connect to the MCP server, specifying the Authorization: Bearer <your-token> header.

• Searching GitHub repositories using an AI assistant (Claude, ChatGPT).
• Creating issues and pull requests via natural language.
• Viewing and analyzing file contents in repositories.
• Searching code, commits, and GitHub users.
• Managing branches and repository forks through an AI assistant.

Yandex Cloud technical support is available 24/7. The types of requests you can submit and the appropriate response time depend on your pricing plan. You can switch to the paid support plan in the management console. You can learn more about the technical support terms here.