Model Control Plane MCP Server

Facilitates model control by integrating OpenAI services, Git repository analysis, filesystem operations, and Prometheus monitoring.

Local serverstdioPython

What is the Model Control Plane MCP Server?

Facilitates model control by integrating OpenAI services, Git repository analysis, filesystem operations, and Prometheus monitoring.

The short version

This repository contains a Model Control Plane (MCP) server implementation that supports OpenAI services, Git repository analysis, local filesystem operations, and Prometheus integration.

What it needs from you

  • Python 3.8+ - FastAPI - Uvicorn - OpenAI SDK - GitPython - Requests - Docker and Docker Compose (for Prometheus features)

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Configuration

  • Python 3.8+ - FastAPI - Uvicorn - OpenAI SDK - GitPython - Requests - Docker and Docker Compose (for Prometheus features)
VariableDescriptionRequired
AZURE_OPENAI_ENDPOINTConfiguration value read at startup.Optional
AZURE_OPENAI_API_KEYCredential the server authenticates with.Yes
AZURE_OPENAI_API_VERSIONConfiguration value read at startup.Optional
AZURE_DEPLOYMENT_NAMEConfiguration value read at startup.Optional
OPENAI_API_KEYCredential the server authenticates with.Yes
OPENAI_CHAT_MODELConfiguration value read at startup.Optional
OPENAI_COMPLETION_MODELConfiguration value read at startup.Optional
PROMETHEUS_URLEndpoint or connection string the server talks to.Yes

Example prompts to try

  • “Use Model Control Plane to Setup.”
  • “Use Model Control Plane to Troubleshooting.”

Frequently asked questions

MCP is a tool that integrates OpenAI services, Git repository analysis, filesystem operations, and Prometheus monitoring to facilitate model control and provide comprehensive insights for development, testing, and deployment.