Model Context Protocol (MCP) Server

Name: Model Context Protocol (MCP) Server
Author: infinyte

@infinyte

Repository

About Model Context Protocol (MCP) Server

simple mcp server

Basic information

Config

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

{
  "mcpServers": {
    "mcp-server-infinyte": {
      "command": "docker",
      "args": [
        "compose",
        "up",
        "-d"
      ]
    }
  }
}

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 Model Context Protocol (MCP) Server?

A server that provides a unified API for multiple AI model providers (Anthropic, OpenAI), supporting chat completions, legacy completions, tool calling, and context handling. It is built for developers integrating AI models with persistent state management via MongoDB.

How to use Model Context Protocol (MCP) Server?

Clone the repository, run npm install, then npm run setup to configure API keys. Start the server with npm start; it will be available at http://localhost:3000. Use POST /mcp/:provider to make AI model requests and GET /tools/available to discover tools.

Key features of Model Context Protocol (MCP) Server

Unified API for Anthropic and OpenAI providers
Chat completions and legacy completions support
Tool calling with automatic execution
MongoDB persistence and state management
Environment-based configuration via .env file
Tool execution history and analytics tracking

Use cases of Model Context Protocol (MCP) Server

Build AI-powered chatbots with multiple model backends
Incorporate web search and content retrieval into AI responses
Generate and edit images using OpenAI or Stability AI
Enable AI agents to dynamically discover and call available tools

FAQ from Model Context Protocol (MCP) Server

Which AI providers are supported?

Anthropic (for Claude models) and OpenAI (for GPT models and DALL-E image generation) are supported.

How do I set up MongoDB?

MongoDB can be set up automatically with Docker via npm run setup-mongodb, manually with Docker Compose, installed locally, or used through MongoDB Atlas for production.