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What do you do?

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  • Why this server?

    Mentions that Model Context Protocol (MCP) is a standardized protocol for managing context between large language models (LLMs) and external systems.

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    Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, we provide an installer as well as an MCP Server for Upstash Developer API's.
    Last updated
    342
    55
    MIT

  • Why this server?

    Describes itself as a lightweight MCP server that provides a unified interface to various LLM providers.

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    A lightweight MCP server that provides a unified interface to various LLM providers including OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama.
    Last updated
    6
    733

  • Why this server?

    States that it's the official MCP server for AIStor.

  • Why this server?

    Describes itself as a Model Context Protocol (MCP) server that provides tools for searching and fetching information from Hacker News.

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    A Model Context Protocol (MCP) server that provides tools for searching and fetching information from Hacker News.
    Last updated
    4
    73
    MIT

  • Why this server?

    Describes itself as a server enabling communication and coordination between different LLM agents across multiple systems

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    Facilitates interaction and context sharing between AI models using the standardized Model Context Protocol (MCP) with features like interoperability, scalability, security, and flexibility across diverse AI systems.
    Last updated
    1

  • Why this server?

    Describes itself as a modular dynamic API server based on the MCP protocol that provides rich tool capabilities for AI assistants while significantly reducing prompt token consumption.

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    A modular dynamic API server based on the MCP protocol that provides rich tool capabilities for AI assistants while significantly reducing prompt token consumption.
    Last updated
    2,825
    1
    MIT

  • Why this server?

    Describes itself as an MCP server that memorizes key aspects of a codebase while allowing dynamic updates and fast retrieval

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    SourceSage is an MCP (Model Context Protocol) server that efficiently memorizes key aspects of a codebase—logic, style, and standards—while allowing dynamic updates and fast retrieval. It's designed to be language-agnostic, leveraging the LLM's understanding of code across multiple languages.
    Last updated
    13
    7

  • Why this server?

    Describes itself as Provides integration with The Movie Database (TMDB) API to provide movie information, search capabilities, and recommendations.

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    Integrates with The Movie Database (TMDB) API to provide movie information, search capabilities, and recommendations.
    Last updated
    7
    75
    MIT

  • Why this server?

    Describes itself as an implementation of an MCP server for the RAG Web Browser Actor. This Actor serves as a web browser for large language models (LLMs) and RAG pipelines, similar to a web search in ChatGPT.