Selector AI FastMCP Server
by automateyournetwork
This repository provides a full implementation of the Model Context Protocol (MCP) for Selector AI. It includes a streaming-capable server and a Docker-based interactive client that communicates via stdin/stdout.
Last updated: N/A
What is Selector AI FastMCP Server?
The Selector AI FastMCP Server is a Python-based implementation of the Model Context Protocol (MCP) designed for integration with Selector AI. It offers real-time SSE streaming support and interactive AI chat capabilities, allowing users to interact with Selector AI through a client that communicates via stdin/stdout.
How to use Selector AI FastMCP Server?
To use the server, clone the repository, install the Python dependencies, set the environment variables (SELECTOR_URL and SELECTOR_AI_API_KEY), build the Docker image, and then start the client. The client can be used interactively or programmatically. It can also be integrated with Claude Desktop by running the server and exposing a socket or HTTP endpoint.
Key features of Selector AI FastMCP Server
FastMCP-compatible and built on Python
Real-time SSE streaming support
Interactive AI chat with Selector AI
Minimal boilerplate
Built-in health check for container orchestration
Request/response logging and retries
Supports both CLI and programmatic access
Environment variable configuration using .env
Use cases of Selector AI FastMCP Server
Integrating Selector AI with other applications
Building custom AI-powered tools
Automating IT operations tasks
Interacting with Selector AI programmatically
Using Selector AI with Claude Desktop
FAQ from Selector AI FastMCP Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It's a protocol for interacting with AI models.
What is Selector AI?
What is Selector AI?
Selector AI is an AI platform (details not fully provided in the README).
How do I set up the environment variables?
How do I set up the environment variables?
Create a .env file in the root directory of the project and set the SELECTOR_URL and SELECTOR_AI_API_KEY variables.
How do I build the Docker image?
How do I build the Docker image?
Run the command docker build -t selector-mcp . in the root directory of the project.
How do I run the server natively (without Docker)?
How do I run the server natively (without Docker)?
Ensure you have the dependencies installed (pip install -r requirements.txt) and then run python mcp_server.py.