MCP-серверы
Открытый реестр серверов Model Context Protocol. Находите инструменты, ресурсы и промпты для ИИ-агентов по категории, типу подключения и сценарию использования.
Серверы
177
Инструменты
471
Категории
11
Участники
155
Official Expo MCP server that connects AI coding assistants to Expo projects and EAS services. Enables searching and reading Expo documentation, managing EAS builds and workflows, installing compatible libraries, inspecting TestFlight crashes and feedback, and automating visual verification through simulator screenshots and interactions. Supports both remote server capabilities and local development server features for advanced automation.
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.
Apollo's official MCP server that exposes GraphQL operations as MCP tools, letting AI agents interact with any GraphQL API through the Model Context Protocol. Turns curated GraphQL operations into callable tools, supports schema introspection, and can run locally alongside a graph via the Rover CLI or in production with the Apollo Runtime Container.
Community-supported MCP server from the Couchbase ecosystem that lets AI assistants interact with data in Couchbase clusters and Capella. Exposes tools to browse scopes and collections, run SQL++ (N1QL) queries, and read or modify documents, with authentication and safety controls enforced by the server. Useful for conversational data exploration and operational queries against Couchbase.
Firebase's MCP integration exposes Firebase project context and development workflows to coding agents for building, testing, and operating Firebase applications.
An MCP server that lets AI assistants delegate work to the Google Gemini CLI, taking advantage of Gemini's very large context window for whole-file and codebase analysis. Exposes tools to ask Gemini questions with file references, brainstorm ideas, and stream long responses in chunks, so a client model can offload large-context reasoning to Gemini without leaving the current session.
Google's official MCP server for the Google Ads API, exposing resources and tools that let agents analyze advertising accounts and support campaign operations.
A Model Context Protocol server for Google Drive that lets AI assistants list, search, and read files stored in Drive, with automatic export of Google Docs, Sheets, Slides, and Drawings to readable formats. Authenticates via OAuth 2.0 and exposes Drive files as MCP resources so agents can ground their answers in your documents without copying data into chat first.
Google's official collection of Model Context Protocol servers that expose Google's security products to MCP clients. Provides access to Google SecOps (Chronicle) for SIEM search and case management, Google Threat Intelligence for indicator and malware lookups, and Security Command Center for cloud posture and findings. Lets security agents investigate alerts, enrich indicators of compromise, and triage vulnerabilities directly from natural language.
Infisical's official MCP server for its open-source secret management platform. Lets AI agents list projects and environments and create, read, update, and delete secrets and folders through controlled tools, so assistants can help manage application configuration without exposing raw credentials in code. Authenticates using a machine identity.
Official MCP server backed by the Kagi API. Exposes Kagi's high-quality search and summarization tools to MCP-compatible clients, including web search and the Universal Summarizer for pages and videos. Useful for research workflows that want ad-free, privacy-respecting results with concise summaries. Requires a Kagi API key.
Popular community MCP server that gives AI assistants deep knowledge of n8n's workflow automation nodes, their properties, and operations, and can connect to a live n8n instance to create and manage workflows. Helps agents design, validate, and deploy automations correctly by exposing node documentation, validation, and workflow management tools.
MCP server that lets AI assistants query and analyze Prometheus metrics through standardized interfaces. Exposes instant and range PromQL queries, metric and label discovery, and target/health inspection, allowing agents to investigate system performance and troubleshoot incidents using natural language instead of hand-writing PromQL.
Automattic's MCP server that connects AI assistants such as Claude Desktop to WordPress sites. Supports multiple authentication methods (OAuth 2.0, JWT, and application passwords) and exposes the WordPress REST and WP-CLI capabilities so agents can read and manage posts, pages, media, and site settings through natural language.
Zoom's official remote MCP server, published to the MCP registry, that gives AI agents access to Zoom capabilities over the Model Context Protocol. Supports semantic meeting search, Zoom-wide chat and docs search, meeting assets and recording resources, and Zoom Docs import/export, so assistants can find and summarize meeting content and manage related data. Authenticates via OAuth.
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.
Создали MCP-сервер?
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