#llmsmap.me

Audit technique indépendant

fastmcp.dev

fastmcp.dev

Score global de préparation IA

Résultat combiné de tous les signaux de l’audit.

76sur 100Excellent
Audit de préparation IA: 01/11/2026Données techniques publiques

À propos du site

FastMCP est un annuaire et un registre de serveurs Model Context Protocol qui connecte des agents IA et des environnements de développement comme Claude, Cursor et Codex à des outils via des points de terminaison edge sans état. Le site répertorie des serveurs par catégories, notamment outils de développement, productivité, commerce en ligne et recherche en IA, et propose des instructions de configuration ainsi qu'un formulaire de soumission de nouveaux serveurs MCP.

Rédigé par une IA à partir du llms.txt et de la page d’accueil.

Évaluation globale de préparation IA

Niveau de préparation de fastmcp.dev pour les systèmes d’IA

76/100

FastMCP (fastmcp.dev) a obtenu 76/100 lors de l’audit technique automatisé de préparation à l’IA. llms.txt était accessible, llms-full.txt avait un format valide et ai.txt était introuvable. L’analyse de robots.txt a trouvé 11 robots IA explicitement autorisés, 0 bloqués et 1 sitemap déclaré. La complétude du balisage de la page d’accueil atteint 0% ; aucun type Schema.org détecté. Balises OpenGraph détectées : 0. Les résultats correspondent aux réponses publiques observées le 2026-11-01T00:58:04.233Z.

Contexte de l’évaluation

L’audit combine les fichiers lisibles par les machines, les règles des robots, les sitemaps et le balisage de la page d’accueil. llms.txt est accessible et contient 5 973 jetons.

robots.txt est disponible ; robots IA bloqués : 0. Sitemaps déclarés : 1. Aucun type Schema.org détecté.

Profil Lighthouse mobile : performance 98/100, accessibilité 93/100, SEO 100/100.

Points forts confirmés

  • llms.txt est accessible
  • llms-full.txt est disponible
  • 1 sitemap(s) déclaré(s)
  • Les signaux OpenGraph et canoniques ont été vérifiés

Améliorations prioritaires

  1. 1Ajouter du JSON-LD pour l’organisation, le site et les entités principales.
Jetons llms.txt5 973
Jetons llms-full.txt5 973
ai.txt
sitemap.xml

Profil technique Google Lighthouse

Une mesure Lighthouse mobile. La catégorie expérimentale Agentic Browsing est présentée séparément et ne remplace pas le score global de LLMSMap.

Mobile · Lighthouse
98

Performance

93

Accessibilité

100

Bonnes pratiques

100

SEO technique

100

Agentic Browsing

Interprétation des résultats

La page mobile s’affiche efficacement ; le plus grand contenu visible est apparu en 1.9 s.

Accessibilité : 93/100, bonnes pratiques : 100/100, SEO technique : 100/100. La catégorie expérimentale Agentic Browsing atteint 100/100 et reste distincte du score global de LLMSMap.

1

Libérer le thread principal et accélérer le premier écran

Découpez les longues tâches JavaScript, différez les scripts et styles non critiques et réduisez les chaînes de requêtes bloquantes.

2

Réduire la latence réseau

Améliorez la réponse du serveur, retirez les redirections inutiles et utilisez la compression et le cache.

3

Rendre les commandes explicites

Nommez clairement boutons, liens et champs et structurez les titres et régions sémantiques.

4

Améliorer le contraste et la lisibilité

Renforcez le contraste des textes, états et éléments interactifs.

FCP1.9 s

Premier contenu

LCP1.9 s

Contenu principal

CLS0

Stabilité visuelle

TBT40 ms

Temps de blocage

SI1.9 s

Vitesse visuelle

Glossaire des métriques
FCP · Premier contenu
Moment où le premier texte ou la première image apparaît.
LCP · Contenu principal
Moment où le plus grand élément visible est affiché.
CLS · Stabilité visuelle
Déplacements inattendus pendant le chargement ; une valeur basse est préférable.
TBT · Temps de blocage
Durée pendant laquelle le thread principal ne pouvait pas répondre rapidement.
SI · Vitesse visuelle
Vitesse à laquelle la zone visible s’est remplie de contenu.
01/11/2026Lighthouse 13.6.0Profil mobile

Vérifications de préparation IA

Fichiers lisibles par les machines, règles des robots, découverte et balisage de la page d’accueil.

llms.txt

Fichier trouvé et accessible

https://www.fastmcp.dev/llms.txt
llms-full.txt

La version complète est disponible

https://www.fastmcp.dev/llms-full.txt
ai.txt

Le fichier ai.txt est introuvable

robots.txt

Fichier trouvé

https://fastmcp.dev/robots.txt
Sitemap dans robots.txt1

1 sitemap trouvé

Schema.org (JSON-LD)

Aucun balisage Schema.org trouvé sur la page d’accueil

OpenGraph

Aucune balise OpenGraph trouvée sur la page d’accueil

Accès des robots IA

D’après l’analyse de robots.txt

GPTBotAutorisé
OAI-SearchBotAutorisé
ChatGPT-UserAutorisé
Google-ExtendedAutorisé
ClaudeBotAutorisé
Claude-SearchBotAutorisé
Claude-UserAutorisé
BytespiderAutorisé
CCBotAutorisé
PerplexityBotAutorisé
Perplexity-UserAutorisé

Sitemaps

Parcours de découverte déclarés pour les robots et les agents.

# FastMCP
> Stateless MCP v2 Edge Gateway and Curated Directory. The OpenRouter for Model Context Protocol.

## Directory Index
- [FastMCP](https://www.fastmcp.dev): The OpenRouter for Model Context Protocol: edge directory and registry connecting AI coding agents to tools. (Endpoint: https://www.fastmcp.dev/mcp)
- [Copy Markdown](https://www.copymarkdown.md): 1-click clean Markdown web page extractor and DOM scraper optimized for LLM context windows. (Endpoint: https://www.copymarkdown.md/mcp)
- [Referral Code Link](https://www.referralcodelink.com): Autonomous agent directory for verified referral links, signup bonuses, and discount promo codes. (Endpoint: https://www.referralcodelink.com/mcp)
- [Michael Vereb](https://www.michaelvereb.com): Senior product & web design portfolio with agent-ready case studies, client metrics, verified testimonials, service pricing, and interactive AI-UI component catalog. (Endpoint: https://www.michaelvereb.com/mcp)
- [llms-text.com](https://www.llms-text.com): Universal generator & validator for /llms.txt and /llms-full.txt standards with Agentic Commerce for $9 full-depth documentation crawls. (Endpoint: https://www.llms-text.com/mcp)
- [Osaurus](https://github.com/osaurus/osaurus): Powers AI workflows on macOS with an always-on edge runtime for local and cloud models, enabling shared tools via Model Context Protocol. (Endpoint: https://www.fastmcp.dev/mcp)
- [World Monitor](https://github.com/koala73/worldmonitor): Provides real-time global intelligence through AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface. (Endpoint: https://github.com/koala73/worldmonitor)
- [Chrome Browser](https://github.com/hangwin/mcp-chrome): Exposes Chrome browser functionality to AI assistants for complex browser automation, content analysis, and semantic search. (Endpoint: https://github.com/hangwin/mcp-chrome)
- [Superpowers](https://github.com/obra/superpowers): Empowers AI coding agents with a comprehensive and structured software development workflow, from design refinement to TDD-driven implementation. (Endpoint: https://github.com/obra/superpowers)
- [MCP Agent](https://github.com/lastmile-ai/mcp-agent): Simplifies building AI agents using Model Context Protocol and composable workflow patterns. (Endpoint: https://github.com/lastmile-ai/mcp-agent)
- [QuantDinger](https://github.com/brokermr810/quantdinger): Offers a self-hosted AI quantitative trading platform for crypto, stocks, and forex, integrating AI-assisted research, Python strategies, backtesting, and live execution. (Endpoint: https://github.com/brokermr810/quantdinger)
- [FunASR](https://github.com/modelscope/funasr): Provides an industrial-grade, end-to-end speech recognition toolkit featuring ultra-fast transcription, multi-language support, speaker diarization, and emotion detection. (Endpoint: https://github.com/modelscope/funasr)
- [TrendRadar](https://github.com/sansan0): Aggregates trending topics from over 35 platforms, offering intelligent filtering, automated multi-channel notifications, and AI-powered conversational analysis for deep news insights. (Endpoint: https://github.com/sansan0)
- [Phoenix](https://github.com/arize-ai/phoenix): Provides an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting of LLM applications. (Endpoint: https://github.com/arize-ai/phoenix)
- [Docker Android](https://github.com/budtmo/docker-android): Provides an Android environment within Docker containers, supporting noVNC, video recording, and a mobile cloud platform (MCP) server. (Endpoint: https://github.com/budtmo/docker-android)
- [Beads](https://github.com/steveyegge/beads): Provides a lightweight memory system for coding agents through a graph-based issue tracker. (Endpoint: https://github.com/steveyegge/beads)
- [Eino](https://github.com/cloudwego/eino): Provides a Go framework for building LLM/AI applications. (Endpoint: https://github.com/cloudwego/eino)
- [Cognee](https://github.com/topoteretes/cognee): Provides a reliable memory layer for AI applications and AI agents, enhancing response accuracy and reducing hallucinations. (Endpoint: https://github.com/topoteretes/cognee)
- [Screenpipe](https://github.com/screenpipe/screenpipe): Captures screen and audio activity 24/7, transforming it into searchable memory and actionable data for AI agents. (Endpoint: https://github.com/screenpipe/screenpipe)
- [Xiaohongshu](https://github.com/xpzouying/xiaohongshu-mcp): Provides a programmatic interface to automate content publishing, feed retrieval, and search functionalities on Xiaohongshu.com. (Endpoint: https://github.com/xpzouying/xiaohongshu-mcp)
- [Bifrost](https://github.com/maximhq/bifrost): Provides a high-performance, resilient AI gateway for connecting to multiple large language model providers through a single, unified API. (Endpoint: https://github.com/maximhq/bifrost)
- [Unstract](https://www.fastmcp.dev/server/unstract): Transforms unstructured documents into structured data using LLMs, ideal for API deployments and ETL pipeline workflows. (Endpoint: https://www.fastmcp.dev/mcp)
- [Penpot](https://github.com/penpot/penpot): Empower teams with an open-source design and prototyping platform that bridges the gap between design and code through real-time collaboration. (Endpoint: https://github.com/penpot/penpot)
- [FLUJO](https://github.com/flujo-ai/flujo): Orchestrates automated workflows by connecting AI models with various tools and resources using MCP. (Endpoint: https://www.fastmcp.dev/mcp)
- [GreptimeDB](https://greptime.com): Provides a unified, cloud-native observability database for metrics, logs, and traces, supporting SQL, PromQL, and streaming analytics. (Endpoint: https://www.fastmcp.dev/mcp)
- [Reactive Resume](https://github.com/amruthpillai/reactive-resume): Simplifies the creation, updating, and sharing of professional resumes with a focus on privacy and customizability. (Endpoint: https://github.com/amruthpillai/reactive-resume)
- [Pipedream](https://github.com/pipedreamhq/pipedream): Connects APIs and automates workflows with a low-code platform designed for developers. (Endpoint: https://github.com/pipedreamhq/pipedream)
- [Douyin TikTok Download API](https://github.com/evil0ctal/douyin_tiktok_download_api): Facilitates self-hosted data scraping and no-watermark video downloads from Douyin and TikTok via an asynchronous REST API, MCP server, CLI, and web console. (Endpoint: https://github.com/evil0ctal/douyin_tiktok_download_api)
- [Firecrawl](https://www.firecrawl.dev): Integrates powerful web scraping and content extraction capabilities into LLM clients like Cursor and Claude. (Endpoint: https://www.fastmcp.dev/mcp)
- [LanceDB](https://github.com/lancedb/lancedb): Provides a developer-friendly, embedded retrieval engine for multimodal AI, enabling efficient search and data management. (Endpoint: https://github.com/lancedb/lancedb)
- [Model Context Protocol for Beginners](https://github.com/microsoft/mcp-for-beginners): Provides an open-source curriculum designed to teach the concepts and fundamentals of the Model Context Protocol (MCP) through practical code examples. (Endpoint: https://github.com/microsoft/mcp-for-beginners)
- [Agent-Native](https://www.fastmcp.dev/server/agent-native): Provides a TypeScript framework for building agentic applications that combine autonomous AI agents with rich user interfaces. (Endpoint: https://www.fastmcp.dev/mcp)
- [Mobile Next](https://www.fastmcp.dev/server/mobile-next): Enables scalable mobile automation through a platform-agnostic interface for interacting with native iOS/Android applications and devices. (Endpoint: https://www.fastmcp.dev/mcp)
- [FastAPI](https://github.com/tadata-org/fastapi_mcp): Exposes FastAPI endpoints as Model Context Protocol (MCP) tools with zero configuration. (Endpoint: https://github.com/tadata-org/fastapi_mcp)
- [Code2Prompt](https://www.fastmcp.dev/server/code2prompt): Converts a codebase into a single, structured prompt suitable for large language models. (Endpoint: https://www.fastmcp.dev/mcp)
- [Claude-Flow](https://github.com/ruvnet/claude-flow): Orchestrates intelligent multi-agent swarms and autonomous workflows to build advanced AI systems. (Endpoint: https://github.com/ruvnet/claude-flow)
- [Graphiti](https://github.com/getzep/graphiti): Builds and queries temporally-aware knowledge graphs tailored for AI agents operating in dynamic environments. (Endpoint: https://github.com/getzep/graphiti)
- [iPolloWork](https://www.fastmcp.dev/server/ipollowork): Empower AI agents to work with local files and extend capabilities through a composable desktop application. (Endpoint: https://www.fastmcp.dev/mcp)
- [Ruflo](https://github.com/ruvnet/ruflo): Orchestrates intelligent multi-agent swarms for Claude, coordinating autonomous workflows and building conversational AI systems. (Endpoint: https://github.com/ruvnet/ruflo)
- [Openstatus](https://github.com/openstatushq/openstatus): Combines status pages and uptime monitoring with API monitoring as code to keep users informed and services reliable. (Endpoint: https://github.com/openstatushq/openstatus)
- [ChatGPT AutoExpert](https://www.fastmcp.dev/server/chatgpt-autoexpert): Enhances ChatGPT's capabilities by providing advanced custom instructions for both general conversational and specialized coding tasks. (Endpoint: https://www.fastmcp.dev/mcp)
- [WhatsApp](https://www.fastmcp.dev/server/whatsapp): Enables integration between WhatsApp and Large Language Models via the Model Context Protocol (MCP). (Endpoint: https://www.fastmcp.dev/mcp)
- [Next AI Draw.io](https://github.com/dayuanjiang/next-ai-draw-io): Integrates AI capabilities with draw.io diagrams to create, modify, and enhance visualizations using natural language. (Endpoint: https://github.com/dayuanjiang/next-ai-draw-io)
- [Xiaozhi ESP32](https://github.com/xinnan-tech/xiaozhi-esp32-server): Provides a backend service for ESP32 devices, enabling rapid deployment of custom intelligent control servers. (Endpoint: https://github.com/xinnan-tech/xiaozhi-esp32-server)
- [Windows](https://www.fastmcp.dev/server/windows): Enables seamless integration between AI agents and the Windows operating system. (Endpoint: https://www.fastmcp.dev/mcp)
- [Kubeshark](https://github.com/kubeshark/kubeshark): Captures cluster-wide network traffic for Kubernetes, offering L4 packet analysis, L7 API call dissection, and decrypted TLS using eBPF with full Kubernetes context. (Endpoint: https://github.com/kubeshark/kubeshark)
- [ARIS (Auto-Research-In-Sleep)](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep): Automates machine learning research workflows, including idea generation, experiment execution, and iterative paper review and refinement. (Endpoint: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep)
- [OpenSpec](https://github.com/fission-ai/openspec): Facilitates spec-driven development to ensure alignment between humans and AI coding assistants before any code is written. (Endpoint: https://github.com/fission-ai/openspec)
- [Trigger.dev](https://github.com/triggerdotdev/trigger.dev): Facilitates building and deploying fully-managed AI agents and long-running workflows with built-in durability and observability. (Endpoint: https://github.com/triggerdotdev/trigger.dev)
- [Airweave](https://www.fastmcp.dev/server/airweave): Connects to diverse data sources to provide a unified context retrieval layer for AI agents and RAG systems. (Endpoint: https://www.fastmcp.dev/mcp)
- [Ida Pro](https://github.com/mrexodia/ida-pro-mcp): Enables vibe reversing in IDA Pro through a Model Context Protocol server. (Endpoint: https://github.com/mrexodia/ida-pro-mcp)
- [YouTube Transcript](https://github.com/jdepoix/youtube-transcript-api): Retrieves transcripts and subtitles from YouTube videos, including automatically generated ones, without requiring an API key or headless browser. (Endpoint: https://github.com/jdepoix/youtube-transcript-api)
- [Browser](https://www.fastmcp.dev/server/browser): Enables AI applications to control a user's existing browser instance. (Endpoint: https://www.fastmcp.dev/mcp)
- [MindsDB](https://github.com/mindsdb/mindsdb): Build AI applications that can learn and answer questions over large-scale federated data sources using a federated query engine. (Endpoint: https://github.com/mindsdb/mindsdb)
- [Graft](https://github.com/trailhq/graft): Enhance coding agents like Claude Code, Cursor, and Gemini with faster, cheaper, and codebase-specific contextual understanding. (Endpoint: https://github.com/trailhq/graft)
- [Fullstack Dev Skills Plugin](https://github.com/Jeffallan/claude-skills): Enhances Claude Code with a comprehensive suite of 19 specialized skills designed for full-stack development across various programming languages and frameworks. (Endpoint: https://github.com/Jeffallan/claude-skills)
- [Ghidra](https://github.com/LaurieWired/GhidraMCP): Enables Large Language Models (LLMs) to autonomously reverse engineer applications by exposing Ghidra's core functionality through an Model Context Protocol (MCP) server. (Endpoint: https://github.com/LaurieWired/GhidraMCP)
- [Pascal Editor](https://github.com/pascalorg/editor): Enables open-source, local-first 3D architectural editing with a CLI, Model Context Protocol (MCP) integration, and AI agent workflows. (Endpoint: https://github.com/pascalorg/editor)
- [Invisible Playwright](https://github.com/feder-cr/invisible_playwright_mcp/wiki): Automates undetected web browsing and agentic interactions with websites, bypassing captchas and blocks using an anti-detect stealth browser. (Endpoint: https://github.com/feder-cr/invisible_playwright_mcp/wiki)
- [Desktop Commander](https://github.com/wonderwhy-er/DesktopCommanderMCP): Extends Claude's desktop app capabilities with terminal control, filesystem operations, and file editing. (Endpoint: https://github.com/wonderwhy-er/DesktopCommanderMCP)
- [Mcp-Go](https://github.com/mark3labs/mcp-go): Implements the Model Context Protocol (MCP) in Go, facilitating integration between LLM applications and external data sources and tools. (Endpoint: https://github.com/mark3labs/mcp-go)
- [Claude Context](https://github.com/zilliztech/claude-context/tree/master/docs): Enhances AI coding agents by providing semantic code search and deep context from an entire codebase. (Endpoint: https://github.com/zilliztech/claude-context/tree/master/docs)
- [Context7](https://github.com/upstash/context7): Fetches up-to-date documentation and code examples for LLMs and AI code editors directly from the source. (Endpoint: https://github.com/upstash/context7)
- [Cursor Talk to Figma](https://www.fastmcp.dev/server/cursor-talk-to-figma): Facilitates agentic AI communication between Cursor and Figma, enabling programmatic reading and modification of design files. (Endpoint: https://www.fastmcp.dev/mcp)
- [BrowserTools](https://www.fastmcp.dev/server/browsertools): Enables AI-powered applications to monitor and interact with browser data via a Chrome extension and MCP. (Endpoint: https://www.fastmcp.dev/mcp)
- [Codebase Memory](https://github.com/DeusData/codebase-memory-mcp): Indexes codebases into a persistent knowledge graph for efficient, structural exploration and analysis by AI assistants and developers. (Endpoint: https://github.com/DeusData/codebase-memory-mcp)
- [Archon](https://github.com/coleam00/Archon): Autonomously builds, refines, and optimizes other AI agents using an advanced agentic coding workflow and framework knowledge base. (Endpoint: https://github.com/coleam00/Archon)
- [Convex](https://github.com/get-convex/convex-backend): Provides a reactive database backend designed for web app developers to fetch data and perform business logic with strong consistency using TypeScript. (Endpoint: https://github.com/get-convex/convex-backend)
- [Fonoster](https://www.fastmcp.dev/server/fonoster): Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility. (Endpoint: https://www.fastmcp.dev/mcp)
- [OpenMetadata](https://github.com/open-metadata/openmetadata): Unifies metadata for data discovery, observability, and governance through a central repository, in-depth column-level lineage, and seamless team collaboration. (Endpoint: https://github.com/open-metadata/openmetadata)
- [Praison AI](https://github.com/mervinpraison/praisonai): Automate and solve complex problems by creating and managing multi-AI agent systems with a low-code framework. (Endpoint: https://github.com/mervinpraison/praisonai)
- [PAL](https://github.com/BeehiveInnovations/pal-mcp-server): Orchestrates multiple AI models to enhance CLI tools for collaborative development, code analysis, and problem-solving. (Endpoint: https://github.com/BeehiveInnovations/pal-mcp-server)
- [Trafilatura](https://www.fastmcp.dev/server/trafilatura): Extracts text and metadata from web pages and online resources, offering various output formats. (Endpoint: https://www.fastmcp.dev/mcp)
- [GitHub](https://github.com/github/github-mcp-server): Enables advanced automation and interaction capabilities with GitHub APIs for developers and tools using the Model Context Protocol. (Endpoint: https://github.com/github/github-mcp-server)
- [Git](https://github.com/idosal/git-mcp): Transforms any GitHub project into a documentation hub accessible to AI tools, preventing hallucinations by providing accurate and up-to-date context. (Endpoint: https://github.com/idosal/git-mcp)
- [AWS](https://github.com/awslabs/mcp): Bring AWS best practices directly into development workflows with a suite of specialized Model Context Protocol (MCP) servers. (Endpoint: https://github.com/awslabs/mcp)
- [Higress](https://github.com/alibaba/higress): Provides an AI-native API gateway for cloud-native applications, extending Envoy and Istio with Wasm plugins. (Endpoint: https://github.com/alibaba/higress)
- [MISP](https://www.misp-project.org): Collects, stores, distributes, and shares cybersecurity indicators and threats. (Endpoint: https://www.fastmcp.dev/mcp)
- [NotebookLM](https://www.fastmcp.dev/server/notebooklm): Integrate local Claude Code installations with Google NotebookLM to retrieve source-grounded, citation-backed answers from your uploaded documents. (Endpoint: https://www.fastmcp.dev/mcp)
- [Cua](https://github.com/trycua/cua): Create and manage high-performance macOS and Linux virtual machines on Apple Silicon, with built-in support for AI agents. (Endpoint: https://github.com/trycua/cua)
- [HexStrike AI](https://github.com/0x4m4/hexstrike-ai): Empowers AI agents with autonomous offensive cybersecurity capabilities by integrating over 70 professional security tools. (Endpoint: https://github.com/0x4m4/hexstrike-ai)
- [Zen](https://github.com/BeehiveInnovations/zen-mcp-server): Orchestrates multiple AI models to enhance Claude's capabilities for advanced code analysis, problem-solving, and collaborative software development. (Endpoint: https://github.com/BeehiveInnovations/zen-mcp-server)
- [OmniGet](https://github.com/tonhowtf/omniget): Download courses and media from over 1,800 sites, and run AI coding agents with built-in permissions and job management. (Endpoint: https://github.com/tonhowtf/omniget)
- [DrawIO Skill](https://github.com/agents365-ai/drawio-skill): Generates and maintains professional .drawio architecture models from natural language and real system sources. (Endpoint: https://github.com/agents365-ai/drawio-skill)
- [Skill Seeker](https://github.com/yusufkaraaslan/Skill_Seekers): Transforms any documentation website into a production-ready Claude AI skill in minutes. (Endpoint: https://github.com/yusufkaraaslan/Skill_Seekers)
- [MCP Toolbox for Databases](https://github.com/googleapis/genai-toolbox): Streamlines the integration of GenAI tools with databases by handling complexities like connection pooling and authentication. (Endpoint: https://github.com/googleapis/genai-toolbox)
- [Task Master](https://github.com/eyaltoledano/claude-task-master): Streamline AI-driven development workflows by automating task management with Claude. (Endpoint: https://github.com/eyaltoledano/claude-task-master)
- [Figma Context](https://github.com/GLips/Figma-Context-MCP): Provides AI coding agents with simplified Figma layout information via the Model Context Protocol. (Endpoint: https://github.com/GLips/Figma-Context-MCP)
- [N8n](https://github.com/czlonkowski/n8n-mcp): Connects AI assistants to n8n's vast library of workflow automation nodes, enabling AI to discover, understand, and build complex workflows efficiently. (Endpoint: https://github.com/czlonkowski/n8n-mcp)
- [Nuclear](https://github.com/nukeop/nuclear): Streams free and open-source music, allowing users to search, build playlists, and listen across multiple platforms without ads or tracking. (Endpoint: https://github.com/nukeop/nuclear)
- [Blender Model Context Protocol](https://github.com/ahujasid/blender-mcp): Connects Blender to Claude AI, enabling prompt-assisted 3D modeling, scene creation, and manipulation. (Endpoint: https://github.com/ahujasid/blender-mcp)
- [Apify](https://apify.com): Connects AI agents to thousands of web scraping, data extraction, and automation tools available on the Apify Store. (Endpoint: https://www.fastmcp.dev/mcp)
- [GPT Researcher](https://github.com/assafelovic/gpt-researcher): Conducts in-depth web and local research on any topic, generating comprehensive reports with citations. (Endpoint: https://github.com/assafelovic/gpt-researcher)
- [XcodeBuild](https://www.fastmcp.dev/server/xcodebuild): Facilitates AI coding agent interaction and direct terminal control for iOS and macOS project development. (Endpoint: https://www.fastmcp.dev/mcp)
- [Context Mode](https://github.com/mksglu/context-mode): Optimizes large language model interactions by significantly reducing context window data and ensuring session continuity. (Endpoint: https://github.com/mksglu/context-mode)
- [Serena](https://github.com/oraios/serena): Turns an LLM into a coding agent that works directly on your codebase by providing semantic retrieval and editing capabilities. (Endpoint: https://github.com/oraios/serena)
- [Chrome DevTools](https://github.com/chromedevtools/chrome-devtools-mcp): Provides coding agents with programmatic access to Chrome DevTools for comprehensive browser control, inspection, and debugging. (Endpoint: https://github.com/chromedevtools/chrome-devtools-mcp)
- [XHS Downloader](https://github.com/joeanamier/xhs-downloader): Extracts and downloads content from XiaoHongShu (RedNote), including user posts, collections, likes, albums, and search results, while removing watermarks. (Endpoint: https://github.com/joeanamier/xhs-downloader)
- [Playwright](https://github.com/microsoft/playwright-mcp): Automates browser interactions for Large Language Models (LLMs) using Playwright. (Endpoint: https://github.com/microsoft/playwright-mcp)
- [Steel Browser](https://www.fastmcp.dev/server/steel-browser): Automates web interactions for AI agents and applications without managing infrastructure. (Endpoint: https://www.fastmcp.dev/mcp)
- [Inbox Zero](https://github.com/elie222/inbox-zero): Reach inbox zero quickly with this open-source AI email assistant and client. (Endpoint: https://github.com/elie222/inbox-zero)

## Core Endpoints
- [Directory Index](https://www.fastmcp.dev): Curated catalog and 1-click connect snippets.
- [Stateless MCP Tool](https://www.fastmcp.dev/mcp): Autonomous tool gateway for search and submissions.
- [MCP Manifest](https://www.fastmcp.dev/.well-known/mcp.json): Model Context Protocol server manifest.
- [llms.txt](https://www.fastmcp.dev/llms.txt): Plaintext agent index.
- [Sitemap](https://www.fastmcp.dev/sitemap.xml): XML sitemap.
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Ajouté 01/11/2026

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