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Rai220/think-mcp

⭐ 107 Python added to this list on 2025-05-14 repository created 2025-04-15

Think MCP implements the think tool described in an Anthropic engineering article on letting a model stop and reason during complicated tool use. The tool does exactly one thing: it accepts a thought and appends it to the log. It reads nothing, writes to no database and changes no environment. What it provides is a place for the model to write down its reasoning as a step in the conversation, which turns implicit reasoning into an explicit turn the model can then read back — helping it process the output of a previous tool call, notice that it needs to backtrack, or check its intended action against a detailed policy before taking it. The referenced article reports improved evaluation metrics from adding this tool, including for models without strong native reasoning, and the repository includes the tau-bench chart from that work. The cases where it helps most are analysing tool output, and policy-heavy environments where a sequence of constraints must be verified before acting. It is a small Python project. The value proposition is unusual among MCP servers: no integration, no credentials and no external dependency, just a structural affordance for the model. The audience is anyone building agents that chain many tool calls, where wrong intermediate conclusions compound.

https://github.com/Rai220/think-mcp

mcpreasoningthink-toolpythonagent-workflowchain-of-thought