MindBridge MCP Server ⚡ The AI Router for Big Brain Moves
@pinkpixel-dev
About MindBridge MCP Server ⚡ The AI Router for Big Brain Moves
MindBridge is an AI orchestration MCP server that lets any app talk to any LLM — OpenAI, Anthropic, DeepSeek, Ollama, and more — through a single unified API. Route queries, compare models, get second opinions, and build smarter multi-LLM workflows.
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mindbridge-mcp": {
"command": "npx",
"args": [
"@pinkpixel/mindbridge"
]
}
}
}Tools
3Get responses from various LLM providers
List all configured LLM providers and their available models
List all available models that support reasoning capabilities
Overview
What is MindBridge MCP Server?
MindBridge MCP Server is a Model Context Protocol (MCP) server that unifies and orchestrates multiple LLM providers, enabling users to route tasks to different models and compare responses. It integrates with OpenAI, Anthropic, Google, DeepSeek, OpenRouter, Ollama, and any OpenAI-compatible API, serving agent builders and multi‑model workflow developers.
How to use MindBridge MCP Server?
Install globally via npm (npm install -g @pinkpixel/mindbridge), through Smithery, or by cloning the source repository. Configure environment variables with API keys for your chosen providers and optionally set provider‑specific defaults in the MCP configuration. Start the server with npx @pinkpixel/mindbridge or npm run dev, then invoke tools like getSecondOpinion, listProviders, and listReasoningModels by sending JSON requests.
Key features of MindBridge MCP Server
- Multi-LLM support across OpenAI, Anthropic, Google, DeepSeek, OpenRouter, Ollama, and OpenAI‑compatible APIs.
- Reasoning‑engine‑aware routing to models optimized for deep reasoning.
getSecondOpiniontool to compare responses from multiple models side by side.- OpenAI‑compatible API layer for drop‑in replacement in existing tools.
- Auto‑detects providers from provided API keys.
- Flexible configuration via environment variables, MCP config, or JSON.
Use cases of MindBridge MCP Server
- Build multi‑model AI agents and orchestration engines.
- Route reasoning‑heavy tasks to specialist models.
- Compare model outputs side‑by‑side with
getSecondOpinion. - Escape vendor lock‑in by easily switching between providers.
- Integrate into existing tools that expect OpenAI endpoints.
FAQ from MindBridge MCP Server
Which LLM providers are supported?
Supported providers include OpenAI, Anthropic, Google, DeepSeek, OpenRouter, Ollama (local models), and any OpenAI‑compatible API.
How do I configure API keys?
Set environment variables such as OPENAI_API_KEY, ANTHROPIC_API_KEY, `DEEPSEE
Frequently asked questions
Which LLM providers are supported?
Supported providers include OpenAI, Anthropic, Google, DeepSeek, OpenRouter, Ollama (local models), and any OpenAI‑compatible API.
How do I configure API keys?
Set environment variables such as `OPENAI_API_KEY`, `ANTHROPIC_API_KEY`, `DEEPSEE
Basic information
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