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

  • mcp-einvoicing-de

    cmendezs
    A
    license
    A
    quality
    A
    maintenance
    Model Context Protocol (MCP) server for German Electronic Invoicing (ZUGFeRD 2.x / XRechnung 3.x). Provides tools to validate, generate, parse, and convert invoices compliant with EN 16931 and KoSIT.
    Last updated
    8
    1
    Apache 2.0

  • mcp-bundesbank-de

    pipeworx-io
    A
    license
    -
    quality
    C
    maintenance
    Provides access to Deutsche Bundesbank (Germany's central bank) statistics via the MCP protocol. Enables querying economic data through natural language using ask_pipeworx.
    Last updated
    2
    MIT

  • mcp-govdata-de

    pipeworx-io
    A
    license
    -
    quality
    C
    maintenance
    MCP server for GovData.de, Germany's national open-data portal via CKAN API, enabling AI agents to list publishing organizations and thematic groups.
    Last updated
    8
    MIT

  • Rechtsinformationen Bund DE

    wolfgangihloff
    F
    license
    A
    quality
    B
    maintenance
    Provides access to the official German Federal Legal Information Portal (rechtsinformationen.bund.de) enabling AI agents to search German federal laws, court decisions, and legal documentation with authoritative citations from official sources.
    Last updated
    5
    17

  • bolsa-de-carga-mcp

    cargoffer
    A
    license
    -
    quality
    A
    maintenance
    Freight marketplace MCP server for European road logistics. Search and manage freight loads, post truck capacity, create auctions, manage deliveries and drivers through the Cargoffer Bolsa de Carga API. Connect your AI agent to the freight marketplace.
    Last updated
    MIT

  • MCP Partidos de Fútbol

    davise070893
    A
    license
    -
    quality
    D
    maintenance
    A Python-based MCP server that extracts football match data from multiple global sources like ESPN and BBC Sport using intelligent web scraping. It enables AI assistants to retrieve scheduled matches, real-time scores, and broadcasting details with advanced filtering for high-profile games.
    Last updated
    MIT

  • Refine Prompt

    FelippeFarias
    A
    license
    A
    quality
    D
    maintenance
    An MCP server that uses Claude 3.5 Sonnet to transform ordinary prompts into structured, professionally engineered instructions for any LLM. It enhances AI interactions by adding context, requirements, and structural clarity to raw user inputs.
    Last updated
    1
    3
    MIT

  • Prompt Ops MCP

    heyjustinai
    A
    license
    A
    quality
    D
    maintenance
    Optimizes prompts using meta-prompting techniques through a two-turn approach that first provides optimization guidelines and then refines the prompt for enhanced quality and effectiveness.
    Last updated
    1
    25
    4
    MIT

  • MCP Prompt Tester

    rt96-hub
    A
    license
    -
    quality
    C
    maintenance
    An MCP server that allows agents to test and compare LLM prompts across OpenAI and Anthropic models, supporting single tests, side-by-side comparisons, and multi-turn conversations.
    Last updated
    MIT

  • MCP Prompt Optimizer

    Bubobot-Team
    A
    license
    -
    quality
    D
    maintenance
    This MCP server provides research-backed prompt optimization tools and professional domain templates designed to improve AI performance through strategies like Tree of Thoughts and Medprompt. It enables users to analyze, auto-optimize, and refine prompts using advanced reasoning patterns and safety-critical alignment techniques.
    Last updated
    23
    MIT

  • llm-oracle

    weiseer
    F
    license
    -
    quality
    B
    maintenance
    Provides real-time LLM pricing and availability data as an MCP server, enabling AI agents to make optimal model routing decisions at inference time with cited pricing sources.
    Last updated

  • llm-fallback-mcp

    KhushalB25
    A
    license
    A
    quality
    C
    maintenance
    MCP server that completes prompts with automatic provider fallback across OpenAI, Anthropic Claude, and Google Gemini. It is rate-limit aware, retries on transient failures, and provides a transparent attempt log.
    Last updated
    2
    9
    MIT