selector-mcp-server
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Selector AI FastMCP provides a full implementation of the Model Context Protocol (MCP) for Selector AI, featuring a streaming-capable server and a Docker-based interactive client.
Selector AI FastMCP is a comprehensive implementation of the Model Context Protocol (MCP) designed for Selector AI. It includes a server that supports real-time Server-Sent Events (SSE) streaming and an interactive AI chat interface. The server is built on Python and is compatible with FastMCP, offering minimal boilerplate and built-in health checks for container orchestration. The client, also written in Python, can spawn the server via Docker and supports both command-line interface (CLI) and programmatic access. It communicates through standard input and output, and configuration is managed via environment variables. The project is containerized using a lightweight Docker image, ensuring easy deployment and scalability.
Features
- Server: FastMCP-compatible server built on Python with real-time SSE streaming support and interactive AI chat.
- Client: Python client that spawns the server via Docker, supporting CLI and programmatic access.
- Minimal Boilerplate: Designed with minimal setup requirements and built-in health checks for container orchestration.
- Request/Response Logging: Includes logging and retry mechanisms for robust communication.
- Environment Configuration: Uses .env files for easy environment variable configuration.
