Think Tool Server – FAQ | MCP Marketplace

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Frequently Asked Questions about the MCP Think Tool Server

Q: What is the MCP Think Tool Server? A: It’s a server implementing the ‘think’ tool for Claude, providing a structured space for complex problem-solving, enhancing reasoning and policy adherence.

Q: How does the MCP Think Tool Server improve Claude’s reasoning? A: It gives Claude a dedicated space to break down problems, maintain a thought history, and analyze thinking patterns, leading to more coherent and effective reasoning.

Q: What are the key features of the MCP Think Tool Server? A: Structured thinking space, thought history, statistics and analysis, and a clean slate option.

Q: How do I install the MCP Think Tool Server? A: Install it from PyPI using the command pip install mcp-think-tool.

Q: How do I configure the MCP Think Tool Server in Windsurf/UBOS? A: Add the provided JSON configuration to your MCP config file, pointing the command field to the installation directory.

Q: Can I clear the thought history? A: Yes, the server provides a ‘clean slate’ option to clear the thought history before starting a new task.

Q: Is the MCP Think Tool Server compatible with other AI models besides Claude? A: While designed primarily for Claude, the underlying MCP protocol is open and could potentially be adapted for other LLMs.

Q: What kind of statistics and analysis does the server provide? A: The server offers metadata about thinking patterns, allowing insights into Claude’s cognitive strategies.

Q: What is MCP (Model Context Protocol)? A: MCP is an open protocol that standardizes how applications provide context to LLMs, allowing AI models to access and interact with external data sources and tools.

Q: How does UBOS enhance the use of the MCP Think Tool Server? A: UBOS provides a full-stack AI Agent development platform that simplifies the integration, orchestration, and management of AI Agents, including Claude with the MCP Think Tool Server, enabling seamless connection to enterprise data and the creation of custom AI Agents and Multi-Agent Systems.

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