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Advanced Reason MCP Server

@Kuon-dev

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

Kuon-dev

Advanced Reason MCP Server について

Enhanced version of "Sequential Thinking" MCP

#mcp#gemini-pro#mcp-servers#mcp-server#deepseek-r1

Advanced Reason MCP Server 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": {
    "advanced-reflection-reason": {
      "command": "node",
      "args": [
        "/path/to/your/advanced-reason-mcp/dist/index.js"
      ],
      "env": {
        "GEMINI_API_KEY": "",
        "OPENROUTER_API_KEY": "",
        "OPENROUTER_MODEL": ""
      }
    }
  }
}

Advanced Reason MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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 Advanced Reason MCP?

Advanced Reason MCP is a tool for advanced reasoning and reflection that uses the Gemini API and Open Router API. It is designed for developers who want to chain sequential thinking (Claude), Gemini critique, and Deepseek critique steps as a Model Context Protocol server.

How to use Advanced Reason MCP?

Clone the repository, install dependencies with npm install, and build using node ./bin/build.mjs. Configure the server in your claude_desktop_config.json with GEMINI_API_KEY, OPENROUTER_API_KEY, and optional OPENROUTER_MODEL (defaults to deepseek/deepseek-r1:free).

Key features of Advanced Reason MCP

  • Chain sequential thinking with external critique models
  • Integrates Gemini and Deepseek via Open Router
  • Configurable critique model via environment variable
  • Automated reasoning and reflection pipeline
  • Built as a lightweight MCP server

Use cases of Advanced Reason MCP

  • Automate multi-step reasoning and reflection tasks
  • Validate and critique AI-generated reasoning chains
  • Add external model feedback to Claude’s thinking process
  • Experiment with different critique models for reasoning tasks

よくある質問

1

What are the runtime requirements for Advanced Reason MCP?

Node.js 20.17 or higher is required, along with a Gemini API key and an Open Router API key.

2

Does Advanced Reason MCP have access to my project context?

No, the AI models do not have access to your project context.

3

What is the default critique model?

If `OPENROUTER_MODEL` is not set, it defaults to `deepseek/deepseek-r1:free`.

4

What happens if a task is too complex?

If the content becomes too long, the MCP may timeout and return no response.

5

How do I configure Advanced Reason MCP?

Add the server entry in `claude_desktop_config.json` with the `node` command, the path to `dist/index.js`, and set the `GEMINI_API_KEY`, `OPENROUTER_API_KEY`, and optionally `OPENROUTER_MODEL` environment variables.

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