Chain of Thought MCP Server
Anthropic's recent article "The "think" tool: Enabling Claude to stop and think in complex tool use situations" shows that using an external think
tool notably increases performance on SWE Bench.
This MCP Server uses Groq's API to call LLMs which expose raw chain-of-thought tokens from Qwen's qwq model.
Installation
- Clone this repository to your local machine.
- Run
uv sync
to install depencies - Get a Groq API key from here.
- Update your mcp configuration with:
The path should be the local path to this repository. You can get this easily by running pwd
in the terminal from the root of the repository.
Instructing The AI To Use This MCP Server
I personally prefer the agent call this tool on every request to increase performance. I add this to my rules for the agent:
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
An MCP server that uses Groq's API to expose raw chain-of-thought tokens from Qwen's qwq model, enabling LLMs to think step-by-step before responding.
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