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by mcpflow • Uncategorized
A Python-based MCP server for Selector AI enabling real-time streaming and interactive AI chat.
Interact with Selector AI via a streaming-capable MCP server.
A Dockerized environment to run and communicate with Selector AI through stdin/stdout.
Integrate Selector AI responses into external tools like Claude Desktop.
This repository provides a full implementation of the Model Context Protocol (MCP) server compatible with Selector AI. It supports real-time Server-Sent Events (SSE) streaming, interactive AI chat, and includes a Docker container for easy deployment. The client can spawn the server via Docker and supports both CLI and programmatic access, facilitating integration with tools like Claude Desktop. Built-in health checks and request logging enhance reliability and observability.