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"Créer des systèmes de prompt pour les modèles de langage (LLM)" matching MCP servers:

  • brain

    sysangel
    A
    license
    A
    quality
    C
    maintenance
    A personal memory engine and MCP server that stores durable facts in markdown files managed via git, enabling hybrid search (lexical + semantic) through an MCP interface for persistent context across LLM sessions.
    Last updated
    3
    MIT

  • Skill-to-MCP

    biocontext-ai
    A
    license
    A
    quality
    C
    maintenance
    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    Last updated
    3
    27
    Apache 2.0

  • EMS MCP Server

    mattsq
    A
    license
    A
    quality
    C
    maintenance
    Provides LLM access to the Event Monitoring System (EMS) API for comprehensive flight data analytics and monitoring. It enables users to query flight records, retrieve time-series analytics, and explore aircraft assets or database hierarchies.
    Last updated
    10
    MIT

  • SentinelMCP

    AnanthanarayanKV
    F
    license
    A
    quality
    C
    maintenance
    Enables LLM-driven agents to autonomously detect, diagnose, repair, verify, and prevent software and hardware failures on local and remote systems. Includes built-in safety checks and automatic rollbacks.
    Last updated
    15

  • Simple Remote MCP Server

    ParthSharma1197
    F
    license
    B
    quality
    D
    maintenance
    A template and demonstration project for building, testing, and deploying remote MCP servers using FastMCP and uv. It provides a foundational structure for creating MCP-compliant tools that can be hosted publicly and integrated with LLM agents.
    Last updated
    2

  • SWMM-MCP

    kLabUM
    A
    license
    B
    quality
    D
    maintenance
    An MCP server that provides a toolbox for interacting with EPA SWMM stormwater models, enabling users to analyze model data and interpret results through LLM-driven tools. It assists stormwater modelers in understanding hydraulic systems and modeling behavior using natural language interfaces.
    Last updated
    18
    6
    MIT