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Advanced Reason MCP

Advanced Reason MCP

Local
github.com/Kuon-devAI & Agents33Updated 81w ago

About Advanced Reason MCP

Advanced Reason MCP is an enhanced version of the Sequential Thinking MCP, providing reasoning and reflection through the Gemini API. It targets users who need multi-step reasoning in MCP clients, and can route calls to models via OpenRouter.

Key features

  1. 01Reasoning and reflection using the Gemini API
  2. 02Optional model selection through OpenRouter
  3. 03Default OpenRouter model deepseek/deepseek-r1:free
  4. 04Requires Node.js 20.17 or higher

Use cases

  1. 01Working through complex tasks that need multi-step reasoning
  2. 02Adding a reasoning tool to Claude Desktop

MCP support

The project runs as an MCP server registered in claude_desktop_config.json, and MCP clients launch it to call its reasoning tool.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Advanced Reason MCP

A tool for advanced reasoning and reflection using the Gemini API.

Claude Seq Thinking Internal Thought Gemini Critique Deepseek Critique

Requirements

  • Node.js 20.17 or higher
  • Gemini API key
  • Open Router API key

Installation

  1. Clone the repository:
git clone [email protected]:Kuon-dev/advanced-reason-mcp.git
cd advanced-reason-mcp
  1. Install dependencies
npm install

Building

Build the project using:

node ./bin/build.mjs

This will create the necessary files in the dist directory.

Configuration

The tool can be configured through the claude_desktop_config.json settings in your project configuration:

{
  "advanced-reflection-reason": {
    "command": "node",
    "args": ["/path/to/your/advanced-reason-mcp/dist/index.js"],
    "env": {
      "GEMINI_API_KEY": "your-api-key-here",
      "OPENROUTER_API_KEY": "your-api-key-here",
      "OPENROUTER_MODEL": "your-selected-model-here"
    }
  }
}

OPENROUTER_MODEL env variable is optional. Defaults to deepseek/deepseek-r1:free if left empty.

Limitations

  • AI models does not have access to your project context, do be aware
  • If the task is too complex, it is possible for the content to get really long, in which the MCP will timeout and return no response

License

This project is MIT licensed.

You can create your own project and modifying it freely without notifying me

Comments

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