MCP-серверы

Открытый реестр серверов Model Context Protocol. Находите инструменты, ресурсы и промпты для ИИ-агентов по категории, типу подключения и сценарию использования.

Некоторые описания переведены автоматически в рамках пилота и пока не проверены редактором.

Серверы

177

Инструменты

471

Категории

11

Участники

155

177 серверов

Сортировка
Neon MCP ServerNeon

MCP server for Neon's serverless PostgreSQL platform. Enables AI agents to manage Neon projects, branches, databases, and roles. Supports creating database branches for development and testing, running SQL queries, managing connection strings, and performing schema migrations. Leverages Neon's instant branching for safe experimentation without affecting production data.

1.5k
BigQuery MCP ServerGoogle Cloud Community

MCP server for Google BigQuery that lets AI agents explore datasets, inspect table schemas, and run SQL analytics queries with dry-run cost estimation. Useful for natural-language data analysis, ad-hoc reporting, and pipeline debugging against large-scale BigQuery warehouses.

1.5k
ElevenLabs MCP ServerElevenLabs

Official MCP server for the ElevenLabs audio platform. Gives AI agents text-to-speech, voice cloning, speech-to-text transcription, sound-effect generation, and voice library management. Useful for building voice agents, narration, audiobooks, dubbing, and accessible audio experiences.

1.5k
Docker MCP ServerDocker

Official Docker MCP server for container management. Enables AI agents to list, start, stop, and inspect Docker containers, manage images, view logs, and execute commands inside running containers. Supports Docker Compose operations for multi-container applications and provides container health monitoring capabilities.

1.4k
Qdrant MCP ServerQdrant

Official MCP server for Qdrant vector search engine. Acts as a semantic memory layer enabling AI agents to store and retrieve information using vector similarity search. Supports storing text with metadata, semantic querying, configurable embedding models via FastEmbed, and both cloud-hosted and local Qdrant instances. Useful for building RAG pipelines, code search, knowledge bases, and long-term agent memory.

1.4k
Airtable MCP ServerDominik Kundel

MCP server for Airtable that lets AI agents read and write records, list bases and tables, inspect field schemas, and run filtered queries. Ideal for turning Airtable into a lightweight backend or knowledge base that agents can manage conversationally.

1.3k
Google Calendar MCP Servernspady

MCP server for Google Calendar that lets AI agents view, create, update, and delete events, check availability across calendars, and schedule meetings via the Calendar API with OAuth. Useful for natural-language scheduling and calendar management.

1.3k
PostHog MCP ServerPostHog

Provides AI agents with access to PostHog product analytics through the Model Context Protocol. Enables querying events, analyzing funnels, inspecting feature flags, and reviewing session recordings metadata. Supports HogQL queries for advanced analytics and cohort analysis for user segmentation.

1.2k
Hugging Face MCP ServerHugging Face

Official Hugging Face MCP Server that connects AI assistants directly to the Hugging Face Hub ecosystem. Provides tools for searching and retrieving models, datasets, and research papers, running inference on thousands of Gradio-powered AI applications (Spaces), and accessing the full Hub API. Supports remote HTTP-streaming via https://huggingface.co/mcp with OAuth or Bearer token auth, as well as local stdio deployment. Works with Claude, Gemini CLI, VS Code, Cursor, and any MCP-compatible client.

1.2k
Zapier MCP ServerZapier

Official Zapier MCP server that exposes thousands of app integrations and Zap actions to AI agents through a single remote endpoint. Lets agents trigger automations and perform actions across apps like Gmail, Slack, Google Sheets, and Salesforce without building custom integrations, with per-action scoping configured in the Zapier dashboard.

1.2k
Browserbase MCP ServerBrowserbase

Official Browserbase MCP server for cloud browser automation. Lets AI agents create headless browser sessions, navigate pages, extract content, take screenshots, and perform actions using Stagehand, enabling reliable web automation and scraping at scale from AI-powered tools.

1.1k
Apify MCP ServerApify

Official Apify MCP server that gives AI agents access to thousands of Actors for web scraping and automation. Agents can run Actors to extract data from websites, search engines, social platforms, and maps, then retrieve structured results from the dataset, enabling rich web research and data collection.

1.1k
Brave Search MCP ServerBrave

Предоставляет комплексные возможности поиска через Brave Search API и Model Context Protocol. Позволяет AI-агентам выполнять веб-поиск, поиск местных компаний, изображений, видео и новостей, а также создавать AI-резюме. Поддерживает транспорты STDIO и HTTP.

1.1k
MongoDB MCP ServerMongoDB

Official MCP server for interacting with MongoDB databases and MongoDB Atlas. Enables AI agents to query collections, run aggregations, manage indexes, inspect schemas, and perform CRUD operations. Also supports Atlas cloud management including cluster provisioning, database user management, performance advisor, and stream processing. Supports read-only mode for safe exploration.

1k
MySQL MCP ServerBenborla

MCP server for MySQL and MariaDB that lets AI agents inspect schemas, list tables, and run parameterized SQL queries. Supports read-only or read-write modes so agents can explore data, debug, and prototype against a MySQL database with controlled access.

980
Snowflake MCP ServerSnowflake

Official Snowflake MCP server enabling AI agents to query and analyze data in the Snowflake AI Data Cloud. Supports running SQL against warehouses, exploring databases and schemas, describing tables, and invoking Cortex AI services for search and analytics, with role-based access control honored end to end.

980
Neo4j MCP ServerNeo4j

Official MCP server for the Neo4j graph database. Enables AI agents to run Cypher queries, inspect graph schemas, and manage nodes and relationships. Includes support for natural-language to Cypher translation and graph-backed memory for agents. Useful for knowledge graphs, recommendations, fraud detection, and relationship-heavy data.

900
Atlassian MCP ServerAtlassian

Official Atlassian Rovo MCP Server — a cloud-based bridge between Atlassian Cloud and any MCP-compatible AI tool. Enables AI agents to search, summarize, create, and update Jira issues, Confluence pages, and Compass components in real-time. Uses OAuth 2.1 or API token authentication, respects existing user permissions, and supports remote HTTP-streaming as well as local stdio via the mcp-remote proxy. Works with Claude, GitHub Copilot, Gemini CLI, VS Code, Cursor, and ChatGPT.

890
Twilio MCP ServerTwilio

Integrates Twilio communication APIs with AI agents through the Model Context Protocol. Enables sending SMS messages, making voice calls, managing phone numbers, and querying message history. Supports programmable messaging, conversation management, and webhook configuration for real-time communication workflows.

890
YouTube Transcript MCP ServerKim Do Gyun

MCP server that fetches transcripts, captions, and metadata from YouTube videos so AI agents can summarize, search, and analyze video content without watching it. Supports multiple languages, timestamped segments, and channel/playlist lookups for research and content workflows.

870
DuckDB MCP ServerMotherDuck

MCP server for DuckDB, the fast in-process analytical database. Lets AI agents run analytical SQL over local files (CSV, Parquet, JSON), attach databases, inspect schemas, and profile queries. Ideal for ad-hoc data analysis, ETL prototyping, and querying large columnar files without a separate database server.

780

Skills и MCP-серверы

в чём разница?

Skillsописывают, что делать

Skill объединяет инструкции, пример промпта и рекомендуемые модели, чтобы агент стабильно выполнял задачу. Skills добавляют знания, а не новые подключения.

MCP-серверыописывают, как подключиться

MCP-сервер расширяет возможности агента, подключая его к реальным системам: базам данных, API и файлам. MCP добавляет подключения и действия, а не инструкции к задаче.

Простое правило: выбирайте Skill, когда модели нужно хорошо выполнить задачу, и MCP-сервер, когда ей нужен доступ к инструменту или системе. Их можно сочетать: Skill может использовать инструменты MCP-сервера.

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