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MindBridge MCP Server The AI Router for Big Brain Moves

@pinkpixel-dev

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT

トランスポート

stdio

作者

pinkpixel-dev

MindBridge MCP Server The AI Router for Big Brain Moves について

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.

MindBridge MCP Server The AI Router for Big Brain Moves の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mindbridge-mcp": {
      "command": "npx",
      "args": [
        "@pinkpixel/mindbridge"
      ]
    }
  }
}

MindBridge MCP Server The AI Router for Big Brain Moves のツール

3

Get responses from various LLM providers

List all configured LLM providers and their available models

List all available models that support reasoning capabilities

概要

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.
  • getSecondOpinion tool 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.

よくある質問

1

Which LLM providers are supported?

Supported providers include OpenAI, Anthropic, Google, DeepSeek, OpenRouter, Ollama (local models), and any OpenAI‑compatible API.

2

How do I configure API keys?

Set environment variables such as `OPENAI_API_KEY`, `ANTHROPIC_API_KEY`, `DEEPSEE

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