MindBridge is an AI model router and orchestration hub that unifies access to multiple LLM providers through a single interface. It eliminates vendor lock-in by letting you route requests between OpenAI, Anthropic, Google, DeepSeek, OpenRouter, Ollama (local models), and other OpenAI-compatible APIs — selecting the right model for each task automatically or on-demand. Key features: - Multi-provider support: Connect to OpenAI, Claude, Gemini, DeepSeek, OpenRouter, Groq, and local models via Ollama - Smart routing: Auto-direct requests to reasoning-optimized models like Claude or DeepSeek Reasoner for complex tasks, or faster/cheaper models for simple queries - getSecondOpinion: Query multiple models simultaneously and compare responses side-by-side for consensus or diverse perspectives - OpenAI-compatible API layer: Drop-in replacement for OpenAI endpoints that works with Azure, Together.ai, and other compatible services - Provider auto-detection: Automatic setup and discovery once API keys are configured via environment variables or JSON config

[](https://mseep.ai/app/pinkpixel-dev-mindbridge-mcp)

MindBridge MCP Server ⚡ The AI Router for Big Brain Moves

MindBridge is your AI command hub — a Model Context Protocol (MCP) server built to unify, organize, and supercharge your LLM workflows.

Forget vendor lock-in. Forget juggling a dozen APIs. MindBridge connects your apps to *any* model, from OpenAI and Anthropic to Ollama and DeepSeek — and lets them talk to each other like a team of expert consultants.

Need raw speed? Grab a cheap model. Need complex reasoning? Route it to a specialist. Want a second opinion? MindBridge has that built in.

This isn't just model aggregation. It's model orchestration.

---

Core Features 🔥

| What it does | Why you should use it | |--------------|--------------| | Multi-LLM Support | Instantly switch between OpenAI, Anthropic, Google, DeepSeek, OpenRouter, Ollama (local models), and OpenAI-compatible APIs.| | Reasoning Engine Aware | Smart routing to models built for deep reasoning like Claude, GPT-4o, DeepSeek Reasoner, etc.| | getSecondOpinion Tool | Ask multiple models the same question to compare responses side-by-side. | | OpenAI-Compatible API Layer | Drop MindBridge into any tool expecting OpenAI endpoints (Azure, Together.ai, Groq, etc.). | | Auto-Detects Providers | Just add your keys. MindBridge handles setup & discovery automagically. | | Flexible as Hell | Configure everything via env vars, MCP config, or JSON — it's your call. |

---

Why MindBridge?

> *"Every LLM is good at something. MindBridge makes them work together."*

Perfect for:

---

Installation 🛠️

Option 1: Install from npm (Recommended)

# Install globally
npm install -g @pinkpixel/mindbridge
use with npx
npx @pinkpixel/mindbridge

Installing via Smithery

To install mindbridge-mcp for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @pinkpixel-dev/mindbridge-mcp --client claude

Option 2: Install from source

1. Clone the repository:

   git clone https://github.com/pinkpixel-dev/mindbridge.git
   cd mindbridge
   

2. Install dependencies:

   chmod +x install.sh
   ./install.sh
   

3. Configure environment variables:

   cp .env.example .env
   

Configuration ⚙️

Environment Variables

The server supports the following environment variables:

MCP Configuration

For use with MCP-compatible IDEs like Cursor or Windsurf, you can use the following configuration in your mcp.json file:

```json { "mcpServers": { "mindbridge": { "command": "npx", "args": [ "-y", "@pinkpixel/mindbridge" ], "env": { "OPENAI_API_KEY": "OPENAI_API_KEY_HERE", "ANTHROPIC_API_KEY": "ANTHROPIC_API_KEY_HERE", "GOOGLE_API_KEY": "GOOGLE_API_KEY_HERE", "DEEPSEEK_API_KEY": "DEEPSEEK_API_KEY_HERE", "OPENROUTER_API_KEY": "OPENROUTER_API_KEY_HERE" }, "provider_config": { "openai": { "default_model": "gpt-4o" }, "anthropic": { "default_model": "claude-3-5-sonnet-20241022" }, "google": { "default_model": "gemini-2.0-flash" }, "deepseek": { "default_model": "deepseek-chat" }, "openrouter": { "default_model": "openai/gpt-4o" }, "ollama": { "base_url": "http://localhost:11434", "default_model": "llama3" }, "openai_compatible": { "api_key": "API_KEY_HERE_OR_REMOVE_IF_NOT_NEEDED", "base_url": "FULL_API_URL_HERE", "available_models": ["MODEL1", "MODEL2"], "default_model": "MODEL1" } }, "default_params": {