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

Delaware DMV MCP server that provides tools to query vehicle registrations, EV adoption, EV and charger rebates, and traffic crash statistics in Delaware.

Enables users to browse, search, filter, and select project skills through an interactive interface, then confirms the selection so the chosen instructions and customizations are applied to the site project.

Provides access to Deutsche Bundesbank (Germany's central bank) statistics via the MCP protocol. Enables querying economic data through natural language using ask_pipeworx.

MCP server for GovData.de, Germany's national open-data portal via CKAN API, enabling AI agents to list publishing organizations and thematic groups.

Enables searching and retrieving documents, activities, and plenary protocols from the German Bundestag's DIP system via MCP tools.

Enables querying the Pour Picks bourbon & whiskey database with tools for search, bottle details, recommendations, comparisons, and trending, providing structured tasting profiles, prices, pairings, and ratings.

Lets MCP hosts search the public Image3 GPT Image 2 prompt gallery, fetch complete prompts, list categories, and turn rough ideas into structured prompt briefs.

Enables deterministic, read-only design of OpenSora video prompts and shot plans, including prompt diagnosis and access to workflow guides, without generating videos or requiring API keys.

Local MCP server that uses a local Ollama model to rewrite rough prompt drafts into structured, optimized prompts for paid APIs, saving tokens and improving output quality.

Integra agentes de desenvolvimento ao sistema Gestão de Tarefas, permitindo gerenciar projetos, demandas, sprints e tarefas com suporte a fila offline e sincronização posterior.

A read-only server that exposes Synergy/DE documentation as tools and resources for searching, retrieving, and browsing topics. It features full-text search, version support, and optimized content chunking for seamless integration with LLMs and MCP clients.

The control plane for AI prompts that scores, enforces policy, locks config, and audits every prompt decision.

An MCP server that registers customizable prompt templates as tools for natural language interaction. It supports hot-reloading and easy extension via YAML or JSON files to automate tasks like code review, refactoring, and content summarization.

Provides personalized Data Engineering learning updates by fetching recent news about DE concepts, patterns, and technologies, while tracking user knowledge to present only new information relevant to their learning journey.

Enables cleaning and sanitizing prompts through an LLM-powered tool that removes sensitive information, provides structured feedback with notes and risks, and normalizes prompt formatting. Supports configurable local or remote OpenAI-compatible APIs with automatic secret redaction.

A Model Context Protocol server that provides specialized prompt suggestions for backend development, frontend development, and general tasks to help LLMs generate better content.

A local MCP server for prompt evaluation, enabling users to define test cases, run prompts against multiple LLM providers, score outputs with deterministic and LLM-graded assertions, and track quality over time, all within an AI coding environment.

Enables AI-assisted development by providing a library of 110+ curated prompts, workflows, and coding standards, with MCP tools for prompt retrieval, composition, and multi-step workflow chains.

Git-driven MCP server that manages and provides prompt templates with Handlebars support, enabling teams to collaborate on and version-control reusable, dynamic prompts across AI editors like Cursor and Claude Desktop.

Lets Claude read and write Prompt Studio projects as Flow text, with version history and a repo-synced .flow file.