a year ago
developer-toolsSpring AI Model Context Protocol (MCP) Proof of Concept with GitHub MCP Server
Overview
what is Spring AI MCP Proof of Concept?
Spring AI MCP Proof of Concept is a Docker-based setup for running a GitHub Model Context Protocol (MCP) server locally, designed to facilitate interaction with GitHub APIs through the MCP protocol.
how to use Spring AI MCP?
To use the Spring AI MCP, clone the repository, set up environment variables including your GitHub Personal Access Token, and start the services using Docker Compose.
key features of Spring AI MCP?
- Containerized GitHub MCP server for API access
- RESTful API for easy integration with Spring AI applications
- Health monitoring and built-in health checks
- Development-friendly configuration with hot-reload capabilities
use cases of Spring AI MCP?
- Integrating GitHub API functionalities into Spring AI applications.
- Local development and testing of GitHub API interactions.
- Facilitating repository and issue management through a standardized protocol.
FAQ from Spring AI MCP?
- What are the prerequisites for using Spring AI MCP?
You need Docker, Docker Compose, and a GitHub Personal Access Token with the appropriate scopes.
- Can I run this without Docker?
Yes, you can run it locally without Docker by setting up a Node.js environment.
- How do I troubleshoot common issues?
Common issues include authentication errors and port conflicts, which can be resolved by ensuring correct token scopes and changing the MCP server port in the configuration.