Overview
what is Selector MCP Server?
Selector MCP Server is a full implementation of the Model Context Protocol (MCP) designed for Selector AI, featuring a streaming-capable server and a Docker-based interactive client for real-time AI interactions.
how to use Selector MCP Server?
To use Selector MCP Server, clone the repository, install the required Python dependencies, set up environment variables, and run the server or client via Docker or natively.
key features of Selector MCP Server?
- FastMCP-compatible server built on Python with real-time SSE streaming support.
- Interactive AI chat capabilities with Selector AI.
- Minimal boilerplate and built-in health checks for container orchestration.
- Request/response logging and retries for reliability.
use cases of Selector MCP Server?
- Real-time AI chat interactions for IT operations queries.
- Integration with applications like Claude Desktop for enhanced AI functionalities.
- Customizing the server for specific AI models or routing logic.
FAQ from Selector MCP Server?
- What are the prerequisites for using Selector MCP Server?
You need Python 3.8+, Docker, and a Selector AI API Key.
- Can I customize the server?
Yes! You can fork the repository and modify the server code to integrate your preferred model.
- Is there a health check feature?
Yes, the server includes a built-in health check for container orchestration.