Showing 5 open source projects for "python framework"

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  • 1
    Upsonic

    Upsonic

    The most reliable AI agent framework that supports MCP

    Upsonic is a reliability-focused AI agent framework designed for real-world applications. It enables the development of trusted agent workflows within organizations by incorporating advanced reliability features, such as verification layers and output evaluation systems. The framework supports the Model Context Protocol (MCP), facilitating integration with various tools and enhancing agent capabilities. ​
    Downloads: 19 This Week
    Last Update:
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  • 2
    FastMCP

    FastMCP

    The fast, Pythonic way to build Model Context Protocol servers

    FastMCP is a Pythonic framework designed to simplify the creation of MCP servers. It allows developers to build servers that provide context and tools to Large Language Models (LLMs) using clean and intuitive Python code, streamlining the integration process between AI models and external resources. ​
    Downloads: 14 This Week
    Last Update:
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  • 3
    Chroma MCP

    Chroma MCP

    A Model Context Protocol (MCP) server implementation

    Chroma MCP Server is an implementation of the Model Context Protocol (MCP) designed to integrate large language model (LLM) applications with external data sources or tools. It offers a standardized framework to seamlessly provide LLMs with the context they require for effective operation. ​
    Downloads: 4 This Week
    Last Update:
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  • 4
    LangChain MCP

    LangChain MCP

    Model Context Protocol tool support for LangChain

    langchain-mcp provides Model Context Protocol (MCP) tool support for LangChain, a framework for developing applications powered by language models. It allows developers to create an MCPToolkit with a client.
    Downloads: 0 This Week
    Last Update:
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    Gen AI apps are built with MongoDB Atlas

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  • 5
    MCP Agent

    MCP Agent

    Build effective agents using Model Context Protocol

    The MCP Agent is a framework that enables the construction of effective AI agents using the Model Context Protocol. It focuses on simple, composable patterns to build production-ready AI agents, facilitating seamless integration with various tools and services to enhance AI capabilities. ​
    Downloads: 0 This Week
    Last Update:
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