DOCSEARCHbyAlgolia
Submit Docs

Awesome Model Context Protocol (MCP) Servers

repository·main·Indexed 11 days ago

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

A curated directory of production-ready and experimental Model Context Protocol (MCP) server implementations. It provides a central resource for developers to find servers that extend AI capabilities across categories such as development, data infrastructure, AI communication, business productivity, automation, and specialized domains. The collection includes tools for API bridging, multi-agent orchestration, governance proxies, and access to various public data sources.

Tokens
142.4K
Snippets
709
Records
1.1K
Agent score
91%

What's inside Awesome MCP Servers

  1. Overview of OS Automation MCP Servers

    main

    OS Automation servers enable AI agents to control desktop operating systems through various methods:

    • GNOME Automation (gnome-desktop-mcp): Provides 30 tools via D-Bus for GNOME 45–49 Linux desktops, including screenshots, window management, mouse/keyboard injection, clipboard, workspaces, and notifications.
    • Hybrid Computer-Use (cellar): Fuses accessibility trees, Chrome DevTools Protocol, and vision into structured context. Includes a continuous awareness engine (Cortex) and works offline with Ollama.
    • Windows Entity-Based Automation (desktop-touch-mcp): Uses UIA and CDP for Windows automation, focusing on entity-based actions rather than just coordinates to reduce UI automation failures.
    • macOS VM Management (nemeton-mcp): A bridge for Nemeton that uses Apple's Virtualization.framework to create and control Linux & macOS VMs with 50+ tools for lifecycle, console, files, and networking.
    • macOS OCR (freezetext-mcp): Uses Apple Vision to extract text from any part of the Mac screen, including videos and protected PDFs.
    • GUI App Development Loop (glass): Provides a build → see → interact → debug loop for native GUI apps. It works as an external black box (no app integration required) across X11, Wayland, Windows, macOS, Android emulators, and iOS Simulators.

  2. Overview of Devloop

    main
    Devloop correlates a browser (or native Expo/React Native apps on iOS/Android) with your development server on a single timeline. This allows matching browser console errors with backend stack traces from the same moment. It includes repro action sequences, a unified log/network query API, and an Electron cockpit.

  3. Overview of Selenium MCP

    main
    A Python-based MCP server for Selenium WebDriver. It provides 84 tools for browser automation, including element interactions, assertions, and self-healing locators. It also supports codegen for various testing frameworks (Java TestNG, JUnit 5, Cucumber, pytest, C# NUnit, Playwright) and CI pipelines (GitHub Actions, Jenkins, GitLab CI). No ChromeDriver setup is required.

  5. Overview of Conversational AI MCP Servers

    main

    Conversational AI MCP servers provide tools for building and operating AI conversation agents that maintain structured dialogues. Available tools include:

    • Cognigy.AI: Management and automation for flows, agents, and NLU.
    • Lobby: AI receptionist tools for business phone scripts, IVR menus, and ElevenLabs prompt generation.
    • Five-MCP: LLM character consistency engine using JSON constraints to prevent persona drift.
    • Perspective AI: AI Concierge tools for lead qualification, customer research, and automated follow-ups (webhook, email, Slack, HubSpot).

  6. Overview of Cryptography MCP Servers

    main

    Cryptography MCP servers provide tools for securing and manipulating data. Key implementations include:

    • Waxseal SDK: On-chain Ed25519 identity and signature validation.
    • Enigma-Python-MCP: Enables LLMs to encrypt and decrypt messages using Enigma machine emulators.
    • mcp-bytesmith: Local encoding, hashing, and Ethereum/EVM-specific byte manipulation.

  8. Overview of Podcast MCP Servers

    main

    These servers provide tools for podcast analytics, search, and management:

    • OP3 Analytics (op3-mcp): Provides read-only access to podcast analytics via the Open Podcast Prefix Project, including downloads, listener geography, and app shares.
    • Podcast Index Search (podcastindex-mcp): Allows searching the Podcast Index for podcasts, episodes, guest appearances, trending shows, and feed health.
    • Transistor.fm Management (Transistor-MCP): Enables management of Transistor.fm podcasts, including episodes, analytics, transcripts, and webhooks.

  10. Overview of Customer Data Platform (CDP) MCP Servers

    main

    CDP MCP servers provide access to customer profiles and business intelligence. Common use cases include:

    • Lead Enrichment: Integrating Hunter.io and Apollo APIs (e.g., b2b-enrichment-mcp).
    • Data Intelligence: Accessing data-center, power, and gas intelligence (e.g., dchub-mcp-server).
    • Visualization: Generating charts via AntV, Apache ECharts, or Mermaid diagrams.
    • CRM & Feedback: Interacting with Pipedrive, iaptic, Quackback, or YaniFend.
    • Analytics & SEO: Statistical analysis for Shopify/Stripe (e.g., mcp-analytics) or Google Search Console management.