Je dois répondre en JSON avec name et description. Name = "jevmem" (le nom du serveur MCP publié). Description : décrit ce que le serveur permet, sans répéter le nom. Par exemple : "Saves decisions, rules, bugs, to-dos and dead ends from Claude Code and Cursor chats into a versioned JEVMEM.md file in the repository, then brings the relevant lines back in later sessions and checks tool calls against saved rules before they run." Je dois vérifier : ne pas citer de personne/mainteneur/organisation. Ne pas répéter le nom. Deux phrases max. Éviter de mentionner "jevmem" comme nom. Je peux dire "Saves..." sans nom. Ça mentionne JEVMEM.md, ce n'est pas le nom du serveur mais le fichier, c'est autorisé ? La consigne : la description ne doit pas reprendre le nom. Le nom est "jevmem" ; "JEVMEM.md" contient jevmem. Mieux éviter. Je vais dire "a markdown memory file in the repository". Éviter aussi les noms d'organisations (TypeSafe, Anthropic, Claude Code...). Claude Code est un produit, pas une personne/organisation. Mais prudence : ne pas citer de mainteneur ou d'organisation. Je peux dire "coding-agent chats". La description doit dire ce que le serveur permet. Je vais faire deux phrases.
MCP server de auditoría de compliance de IA que expone el motor de reglas de Gobernador IA como tools para agentes Claude, contra Ley 21.719 (Chile), ISO/IEC 42001:2023, y el EU AI Act.
MCP server for querying the Bibliothèque nationale de France catalogue. Enables searching authors and works, retrieving author details, listing editions, and finding digitised documents via SPARQL, without an API key.
France Data MCP lets AI agents query, cross-reference and automatically enrich multiple French public registries through a unified MCP interface.
France Data MCP provides a French territorial intelligence layer designed for multi-source reasoning and agentic orchestration.
Actualiza tu hoja de vida de CvLAC (MinCiencias) conversando con tu asistente de IA, sin llenar formularios a mano. Lee, agrega, corrige y borra formación, experiencia, proyectos, artículos, libros, software, eventos y perfil. Pregunta antes de borrar o de crear algo parecido a lo que ya existe. Corre en tu computador con Playwright: tus credenciales no salen de él. Proyecto no oficial.
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.
Enables access to the Gallica digital library of the Bibliothèque nationale de France (BnF) with search capabilities across titles, authors, subjects, and dates, plus retrieval of document metadata, IIIF images, and OCR text content.
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 AI assistants to look up French medicine shortages and supply tensions from ANSM and public BDPM data — searching a medicine's shortage status, history and expected return, listing current shortages with filters, tracking recent changes, and checking major-therapeutic-interest (MITM) status. Every result carries its sources, update dates, coverage caveats and a disclaimer.
MCP server for the mGBA Game Boy Advance emulator. Read and write GBA memory, inject button presses, take screenshots, save/load state, and step the emulator through a Lua bridge.
Enables AI agents to submit npm, PyPI, Go, or Maven packages and manifests to the free OSV.dev database and receive per-package and per-advisory results with CVE mappings, CVSS scores, severities, and the versions that fix each issue. It also supports filtering by minimum severity, de-duplicating alias advisories, and machine-readable error/warning rows for CI gates and upgrade recommendations.
Nectar is a stdio MCP server for Pollinations image and video generation. It gives MCP clients a small, focused toolset for generating images, editing images, generating videos, listing available image/video models, and checking pollen balance.
Provides AI assistants with real-time web search, reasoning, and research capabilities through Perplexity's Agent API and Search API, enabling tools for search, conversational Q&A, deep research, and advanced reasoning.
MCP server for creating and editing diagrams using draw.io. Allows generating diagrams from Mermaid or XML, searching shapes, and opening them in draw.io for export.
Enables AI coding agents to list, read, create, update, delete, and render PlantUML and Mermaid diagrams, and check them against the actual codebase to detect architecture drift.
MCP server for RetroArch via its Network Control Interface. Drive any libretro core — read/write memory, save/load state, screenshot, pause/frame-advance/reset — across NES, SNES, Genesis, N64, GBA, PS1 and more.
Enables querying key financial figures from Danish companies' published annual reports via CVR number, using XBRL data from Erhvervsstyrelsen, without an API key.
MCP server for PCSX2 and other emulators that speak the PINE protocol. Read and write 8/16/32/64-bit emulator memory and control save states for PlayStation-family emulation.
An MCP server that gives AI agents access to configured databases (PostgreSQL, MySQL, Redshift, SQL Server) with SSH/AWS SSM tunnels, pluggable secret providers, and strict per-instance isolation.
An MCP server that exposes PPSSPP — the PlayStation Portable emulator — to any MCP-compatible client (Claude Desktop, Claude Code, etc.) via PPSSPP's built-in WebSocket debugger interface.
Read and write PSP memory, drive games with button input, capture screenshots, set CPU breakpoints, inspect MIPS Allegrex registers — all through a clean tool interface. No bridge plugin needed; PPSSPP's debugg
Enables web search and page fetching through the DeepSeek Search and Fetch APIs, exposing search and fetch tools to MCP clients. Supports paginated content retrieval with cursors so long pages can be read in chunks without repeating upstream requests.