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MindBridge MCP Server ⚡ The AI Router for Big Brain Moves

@pinkpixel-dev

リポジトリ

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.

#chat#agent#mcp#agents#reasoning#second-brain#llm#reasoning-agent#llm-inference#model-context-protocol#mcp-server#modelcontextprotocol#model-context-protocol-servers

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT

ランタイム

node

トランスポート

stdio

公開者

pinkpixel-dev

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"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

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.

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

コメント

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