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Toolhouse

Connects Model Context Protocol (MCP) clients with Toolhouse's AI-powered tools and Groq's fast inference API.

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This MCP server enables seamless integration between Large Language Model (LLM) applications and Toolhouse's extensive suite of tools, leveraging the Model Context Protocol (MCP) for standardized interaction. By utilizing Groq's API, it offers fast inference capabilities, enhancing the performance and responsiveness of AI-powered applications. The server allows compatible MCP clients to access a diverse range of functionalities, broadening their capabilities and enabling more complex and context-aware operations.

Características Principales

  • 0 GitHub stars
  • Connects MCP Clients to Toolhouse tools.
  • Built on Toolhouse and Groq's API for fast inference.
  • Supports a vast library of tools including web scraping, memory management, and email sending.
  • Enables integration between LLM applications and external data sources/tools.

Casos de Uso

  • Extending chat interface capabilities with context-aware functionalities.
  • Enhancing AI-powered IDEs with external tools.
  • Creating custom AI workflows with seamless tool integration.
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Toolhouse: Connect LLMs to Tools via MCP & Groq