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MCP Server

@infinyte

Repository

Basic information

Category

Other

Transports

stdio

Author

infinyte

About MCP Server

simple mcp server

MCP Server config

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

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

MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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

Frequently asked questions

1

Which AI providers are supported?

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

2

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.

3

What tools come built-in?

Web search, web content retrieval, web batch retrieval, image generation, image editing, and image variation tools are included.

4

How do I start the server in production?

Use `npm run pm2:start:prod` to run the server with PM2 process manager for automatic restarts and production optimization.

5

What API keys are required?

You need keys for Anthropic, OpenAI, Stability AI (image generation), and Google CSE or Bing (web search) as appropriate for your use case.

Comments

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