Think MCP Server

What is Think MCP Server?

Think MCP Server uses Groq’s API to call LLMs that expose raw chain‑of‑thought tokens from Qwen’s qwq model. It is designed to be used as an MCP tool by AI agents (e.g., Claude) to improve performance on complex tool‑use situations, following the approach described in Anthropic’s “think” tool article.

How to use Think MCP Server?

Clone the repository, run uv sync to install dependencies, obtain a Groq API key, and update your MCP client configuration with the path to the repository and the GROQ_API_KEY environment variable. Then instruct your AI agent to call the chain_of_thought tool on every request—typically by adding an XML rule that defines when and how to use it as a scratchpad for reasoning.

Key features of Think MCP Server

• Exposes chain‑of‑thought tokens via Groq’s API from Qwen’s qwq model.
• Integrates as a standard MCP tool for any compatible AI client.
• Provides an external scratchpad for structured reasoning and planning.
• Shown to increase performance on SWE Bench and similar benchmarks.

Use cases of Think MCP Server

• Improving an AI agent’s performance on software engineering tasks (e.g., SWE Bench).
• Acting as a step‑by‑step reasoning aid for complex multi‑step tool calls.
• Enforcing policy compliance by having the agent verify rules before acting.