What does Think MCP Server actually do?
It calls an LLM (via Groq) that returns raw chain‑of‑thought tokens, which the AI agent can use as a scratchpad to reason through a task before responding or taking further tool actions.
Think MCP Server
@beverm2391
基本信息
关于 Think MCP Server
An mcp server to inject raw chain of thought tokens from a reasoning model.
Think MCP Server 配置
Think MCP Server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
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.
常见问题
What dependencies does it require?
You need Python, `uv` for dependency management, a Groq API key, and network access to the Groq API. No additional runtime or database is required.
How do I configure the server in my MCP client?
Update your MCP configuration JSON with the command `uv run src/server.py` from the repository directory and set the `GROQ_API_KEY` environment variable to your key.
How do I make my AI agent call the tool?
Add an XML instruction in your agent’s rules (or system prompt) telling it to call the `chain_of_thought` tool on every user request and use it as a structured scratchpad for planning and verification.
Where does my data go when using the tool?
The server sends prompts to the Groq API to generate chain‑of‑thought output; no persistent storage of user data is described in the repository.
其他 分类下的更多 MCP 服务器
ICSS
chokcoco不止于 CSS
20.7K
Glasswarp
GlasswarpSee and control a real Windows PC you own — from any MCP client, locally or remotely. Observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH: your machine, your key.
Sequential Thinking
modelcontextprotocolModel Context Protocol Servers
88.2K
Health by Dr Brad
Dr Brad StanfieldHealth by Dr Brad works out a health plan from your own results: which screening is due at your age, and evidence-based suggestions, each with the reason and the published guideline or study behind it. Your record is one
Handl
Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.
评论