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Awesome MCP Servers

repository·main·Indexed 26 days ago

https://github.com/wong2/awesome-mcp-servers

A curated directory of Model Context Protocol (MCP) servers designed to extend LLM capabilities via standardized interfaces. The collection categorizes servers into Official, Reference, and Sponsor categories, covering domains such as cloud infrastructure (AWS, Cloudflare, Google Cloud), databases (PostgreSQL, MongoDB, BigQuery), developer tools (GitHub, Git, Sentry), and web automation (Browserbase, Apify). It includes reference servers for filesystem operations, memory systems, and sequential thinking.

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What's inside awesome-mcp-servers

  1. Overview of Awesome MCP Servers

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    This repository serves as a curated collection of Model Context Protocol (MCP) servers. It categorizes servers into Official, Reference, and Sponsor categories to help developers find tools for integrating LLMs with external data sources and capabilities.

  3. Browse Reference MCP Servers

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    The awesome-mcp-servers repository maintains a curated list of Model Context Protocol (MCP) servers. This segment of the list includes servers for various categories such as:

    • Data & Databases: Keboola, Milvus, MotherDuck, Neo4j, Neon, OceanBase, Prisma Postgres, Qdrant.
    • Communication & Email: LINE Official Account, Mailgun, MailSandbox, Mailtrap.
    • Development & DevOps: Last9, Logfire, Metoro, Mux, Playwright, Postman, Powertool, RAD Security, Render.
    • Search & Discovery: Meilisearch, Perplexity, Pearch, Ref.
    • Business & Finance: Kontent.ai, Knit MCP, Mercado Libre, Mercado Pago, Norman Finance, Octagon, PayPal, Ramp, RevenueCat.
    • AI & LLM Tools: Langfuse Prompt Management, Lingo.dev, Mastra/mcp, Needle, Riza, Root Signals.
    • Automation & Scraping: Notte, Oxylabs, Playwright.

    Each entry in the repository provides a link to the server's source code or official documentation to facilitate integration into your AI assistant.

  4. Browse Reference MCP Servers

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    The awesome-mcp-servers repository maintains a curated list of Model Context Protocol (MCP) servers. This segment of the list includes servers for various domains such as security, data analysis, cloud infrastructure, and developer tools. Developers can use these servers to extend the capabilities of AI agents with specialized tools like:

    • Security & Testing: Cycode (SAST/SCA), Debugg AI (E2E testing), Inspektor Gadget (Kubernetes debugging).
    • Data & Analytics: dbt (data build tool), Dash0 (OpenTelemetry), GreptimeDB (time-series), DexPaprika (DEX analytics).
    • Cloud & Infrastructure: Google Cloud Run, Gcore Cloud, EdgeOne Pages (Tencent).
    • Development Tools: GitHub (official), GitKraken (CLI/API), JetBrains (IDE integration), E2B (secure sandboxes).
    • Search & Web: Exa (AI search), Firecrawl (web data extraction), Kagi Search (web search).
    • Communication & Productivity: Inbox Zero (email), Fibery (workspace queries), eSignatures (contract management).

  5. Browse Reference MCP Servers

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    The repository contains a curated list of Model Context Protocol (MCP) servers categorized by their utility. You can find servers for various domains including:

    • Productivity & Communication: Routine, Rube, Taskade, Taskeract, WayStation, Zapier, tl;dv.
    • Search & Web Scraping: Search1API, Scrapeless, Scrapezy, ScreenshotMCP, ScreenshotOne, Tavily, WebDataSource, WebScraping.AI, AnyCrawl.
    • Data & Databases: SingleStore, StarRocks, Supabase, Teradata, Tinybird, Verodat.
    • Finance & Commerce: ShopSavvy, Stripe, Square, Token Metrics, Trade Agent, Twelve Data, Xero.
    • Development & Security: Semgrep, Sentry, SonarQube, XRAY, Zenable, YepCode, ZenML.
    • Cloud & Infrastructure: Tencent Cloud COS, Twilio, Unstructured.
    • AI & Data Science: Supadata, Vectorize, VideoDB, UnifAI.
    • IoT & Specialized Services: ThingsBoard, Willi MaKo Knowledge Service.

  6. Explore Community MCP Servers

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    The repository maintains a collection of community-developed and maintained Model Context Protocol (MCP) servers. These servers demonstrate various applications of MCP across different domains, providing ready-to-use integrations for developers looking to extend their AI capabilities.

  8. Explore MCP Frameworks for Server Development

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    If you are building MCP servers, several frameworks are available across different languages and paradigms:

    • TypeScript/JavaScript: create-mcp-ts (scaffolding tool with templates), LiteMCP (elegant framework), and mcp-framework (fast/elegant framework).
    • Python: MCP Plexus (secure, multi-tenant framework with OAuth 2.1 support).
    • C++ / Java-style: oatpp-mcp (implementation for the Oat++ framework).
    • Database & Deployment: centralmind/gateway (generates tools from DB schemas as REST/MCP/SSE servers) and ToolHive (simplifies deployment via containerization).

  9. Explore the Awesome MCP Servers Directory

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    This repository serves as a curated directory of Model Context Protocol (MCP) servers. Developers can use this list to find specialized tools that extend the capabilities of AI agents (like Claude, Cursor, or Windsurf) by providing access to databases, web services, local system controls, and development tools.

  12. Reference: List of MCP Servers

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    This repository maintains a curated list of Model Context Protocol (MCP) servers categorized by their functionality. Developers can use these servers to extend the capabilities of AI assistants (like Claude Desktop or Cursor) with tools for web searching, database management, API interactions, and specialized domain tasks.