Rai220/think-mcp

Overview

An MCP server that exposes a reasoning endpoint for AI agents. Built in Python, it enables models to perform step-by-step reasoning through the Model Context Protocol.

Best for

Best for
Developers building MCP-based AI agents needing a simple reasoning module

Use cases

• Adding a reasoning step to MCP-based AI agents
• Providing an intermediate thinking process for LLM calls
• Testing and prototyping reasoning capabilities in MCP clients

How to use

Tools exposed

• think
• criticize
• plan
• search

Example client config

{\n    "think-mcp": {\n        "command": "uvx",\n        "args": ["think-mcp"],\n        "enabled": true\n    }\n}

Notes

An MCP server that exposes a reasoning endpoint for AI agents. Built in Python, it enables models to perform step-by-step reasoning through the Model Context Protocol.

102 stars on GitHub. Last updated 2026-03-07. Licensed MIT.

Use cases

• Adding a reasoning step to MCP-based AI agents
• Providing an intermediate thinking process for LLM calls
• Testing and prototyping reasoning capabilities in MCP clients

Pros

• Lightweight and focused on a single reasoning function
• Written in Python, easy to extend or debug
• Compatible with the growing MCP ecosystem

Cons

• Small user base and limited community support
• Early stage project with minimal documentation
• Narrow scope may not suit complex reasoning workflows

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.