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Provides a simple, experimental server for integrating tools with local AI chat agents.
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Designed as an experimental, human-readable server, this tool facilitates the integration of various functionalities with local Large Language Models (LLMs). It leverages FastMCP to create a straightforward server architecture, emphasizing the critical role of Pandoc comments in defining tool capabilities for effective LLM interaction. The server includes a basic web fetching tool as a structural example, and its output is configurable between standard I/O and a web server, making it adaptable for different experimental setups.
Características Principales
- Designed for integration with local LLMs
- Utilizes Pandoc comments for LLM tool definition
- Includes an example web fetching tool
- Human-readable and straightforward for learning
- 0 GitHub stars
- Lightweight MCP server implementation
Casos de Uso
- Creating custom toolchains for AI chat agents
- Learning to develop MCP servers with FastMCP
- Experimenting with local LLM tool integration
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