Modern Control Protocol (MCP) Server

Name: Modern Control Protocol (MCP) Server
Author: eagurin

@eagurin

About Modern Control Protocol (MCP) Server

A modern, scalable MCP server implementation with support for multiple AI providers, advanced monitoring, and robust conversation management.

#mcp #ai-server #conversation-management

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mymcpserv": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Modern Control Protocol (MCP) Server?

A modern, scalable MCP server implementation with support for multiple AI providers (OpenAI, Anthropic, Google AI, Azure), advanced monitoring, and robust conversation management. It targets developers building AI-powered applications that need multi-provider integration, streaming, and conversation history.

How to use Modern Control Protocol (MCP) Server?

Clone the repository, copy .env.example to .env, update environment variables, then start services with docker-compose up -d. For local development, create a Python virtual environment, install dependencies from requirements.txt, and run uvicorn app.main:app --reload.

Key features of Modern Control Protocol (MCP) Server

Multi-provider AI support (OpenAI, Anthropic, Google AI, Azure)
Real-time streaming responses
Conversation management and history
Function calling and tool usage
Vector database integration (Qdrant)
Semantic caching with Redis
Prometheus metrics and Grafana dashboards
Rate limiting and error handling
PostgreSQL for data persistence
Elasticsearch for search
Docker containerization

Use cases of Modern Control Protocol (MCP) Server

Building chatbots that switch between AI providers based on cost or capability
Deploying a production-grade conversation API with caching and rate limiting
Implementing semantic search over conversation history using Elasticsearch and vectors
Monitoring AI service performance and usage via Prometheus/Grafana

FAQ from Modern Control Protocol (MCP) Server

What AI providers are supported?

OpenAI, Anthropic, Google AI, and Azure (Azure OpenAI likely included, though not explicitly stated in the README). The README lists "Multi-provider AI support (OpenAI, Anthropic, Google AI, Azure)."