llmsmap.ru

Независимый технический аудит

fastmcp.dev

fastmcp.dev

Итоговая оценка ИИ-оптимизации

Сводный результат по всем сигналам аудита.

76из 100Отлично
Проверка ИИ-оптимизации: 01.11.2026Публичные технические данные

О сайте

FastMCP — это каталог и реестр серверов Model Context Protocol, который соединяет ИИ-агентов и среды разработки, такие как Claude, Cursor и Codex, с инструментами через stateless edge-эндпоинты. Сайт содержит каталог серверов по категориям, включая инструменты разработчика, продуктивность, электронную коммерцию и ИИ-исследования, а также инструкции по подключению и отправке собственных MCP-серверов.

Описание составлено ИИ по llms.txt и главной странице сайта.

Итоговая оценка ИИ-оптимизации

Насколько fastmcp.dev оптимизирован для работы с ИИ

76/100

FastMCP прошёл независимый технический аудит llmsmap. Итоговая оценка ИИ-оптимизации домена fastmcp.dev составляет 76/100: результат объединяет доступность специальных файлов для ИИ, правила краулинга, карту сайта, структурированные данные главной страницы и, когда замер завершён, мобильный технический профиль Google Lighthouse.

Контекст итоговой оценки

Файл llms.txt доступен и содержит 5 973 токенов. Расширенный llms-full.txt также найден; его объём — 5 973 токенов, поэтому агент может получить более полный контекст без обхода всего сайта. Отдельный ai.txt не обнаружен; это не обязательная часть предлагаемого формата llms.txt, но такой файл может явно описать политику обучения, цитирования и автоматического доступа.

robots.txt доступен. Из 11 отслеживаемых ИИ-ботов 11 не заблокированы. Объявлено карт сайта: 1. На главной не обнаружена Schema.org-разметка. OpenGraph-тегов найдено 0, расчётная полнота публичной разметки — 0%. Без сущностей и связей ИИ сложнее однозначно определить организацию, продукт и канонические страницы.

Мобильный профиль Lighthouse дополняет аудит: производительность 98/100, доступность 93/100, технические практики 100/100, SEO 100/100 и экспериментальная готовность браузерных агентов 100/100. Эти данные входят в итоговую оценку ИИ-оптимизации с ограниченным весом: они дополняют, но не заменяют проверку llms.txt, robots.txt и машинной разметки.

Подтверждённые сильные стороны

  • llms.txt доступен
  • Есть расширенный llms-full.txt
  • Объявлено sitemap: 1
  • Сильные agentic-сигналы Google

Приоритетные улучшения

  1. 1Добавить JSON-LD для организации, сайта и основных сущностей.
  2. 2Дополнить OpenGraph и канонические метаданные главной страницы.
Токены llms.txt5 973
Токены llms-full.txt5 973
ai.txt
sitemap.xml

Технический профиль Google Lighthouse

Замер мобильной версии. Экспериментальная категория Google Agentic Browsing показана отдельно и не заменяет итоговую оценку ИИ-оптимизации от llmsmap.

Мобильная версия · Lighthouse
98

Производительность

93

Доступность

100

Технические практики

100

Техническое SEO

100

Работа браузерных агентов

Что означают результаты

Мобильная страница отрисовывается эффективно: самый крупный видимый блок появился за 1.9 s.

Доступность получила 93/100, технические практики — 100/100, SEO — 100/100. Экспериментальная категория Agentic Browsing получила 100/100. Она отражает сигналы, которые Google сейчас проверяет для программных агентов, и не заменяет итоговую оценку ИИ-оптимизации от llmsmap.

1

Освободить основной поток и ускорить первый экран

Разделите длинные JavaScript-задачи, отложите необязательные скрипты и критические стили, уменьшите цепочки блокирующих запросов. Это ускорит появление основного контента и позволит интерфейсу раньше принимать действия.

2

Сократить сетевые задержки

Уменьшите время ответа сервера, лишние редиректы и повторные загрузки; настройте сжатие, кеширование и ранние соединения только с действительно важными источниками.

3

Сделать элементы управления однозначными

Добавьте доступные названия кнопкам и ссылкам, связанные подписи полям, последовательные заголовки и семантические области. Такая структура одновременно помогает скринридерам и агентам понимать назначение действий.

4

Повысить читаемость и контраст интерфейса

Усилите контраст текста, состояний и интерактивных элементов. Пользователь и визуальный агент должны уверенно отличать содержание от действий и служебных подписей.

FCP1.9 s

Первый контент

LCP1.9 s

Главный блок

CLS0

Стабильность

TBT40 ms

Блокировка

SI1.9 s

Скорость экрана

Расшифровка показателей
FCP · Первый контент
Когда на экране появился первый текст или изображение.
LCP · Главный блок
Когда отрисовался самый крупный видимый элемент первого экрана.
CLS · Стабильность
Насколько сильно элементы неожиданно смещались при загрузке; меньше — лучше.
TBT · Блокировка
Сколько времени основной поток не мог быстро ответить на действие.
SI · Скорость экрана
Насколько быстро видимая область страницы заполнилась контентом.
01.11.2026Lighthouse 13.6.0Мобильный профиль

Проверки ИИ-оптимизации

Машиночитаемые файлы, правила краулинга, обнаружение страниц и разметка главной.

llms.txt

Файл найден и доступен

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

Полная версия доступна

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

Файл ai.txt не найден

robots.txt

Файл найден

https://fastmcp.dev/robots.txt
Sitemap в robots.txt1 шт.

Найдено карт сайта: 1

Schema.org (JSON-LD)

Разметка Schema.org не найдена на главной

OpenGraph

OpenGraph теги не найдены на главной

Доступ ИИ-ботов

На основе анализа robots.txt

GPTBotРазрешён
OAI-SearchBotРазрешён
ChatGPT-UserРазрешён
Google-ExtendedРазрешён
ClaudeBotРазрешён
Claude-SearchBotРазрешён
Claude-UserРазрешён
BytespiderРазрешён
CCBotРазрешён
PerplexityBotРазрешён
Perplexity-UserРазрешён

Карты сайта

Объявленные маршруты для поисковых роботов и ИИ-агентов.

# 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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