awesome-mcp-servers

From public sources

awesome-mcp-servers is a curated open-source list of Model Context Protocol (MCP) servers that connect AI models to files, databases and APIs.

MCP serverCategory: MCP Servers · DirectoriesOpen sourcedata checked Oct 15, 2026

Overview

Finding a working MCP server for a specific tool or data source usually means searching scattered repositories with unclear quality. awesome-mcp-servers, a curated MCP servers list under the MIT license, collects production-ready and experimental MCP server implementations in one place, organized by category such as databases, browser automation, developer tools, communication and cloud platforms. Each entry is tagged with its programming language, whether it runs as a cloud service or a local service, and the operating systems it supports, so you can quickly judge whether a server fits your stack. The list also links to a web-based directory, client lists, tutorials and community channels. The collection is aimed at developers and teams building AI assistants and agents who need to give models secure access to local and remote resources. It is maintained as a Markdown document that you browse on GitHub or use as a reference when choosing servers to self-host and run yourself.
  • ai
  • mcp

Installation

Commands are shown, never run by the marketplace. Check them against the official documentation.

Compatibility

Unknown means no evidence was found — not that the product is incompatible.
PlatformStatusArchitectureEvidenceConfidence
Claude (web & desktop)Unknown———
Claude CodeUnknown———
CursorUnknown———
VS CodeUnknown———
WindsurfUnknown———
ChatGPTUnknown———

Releases

checked Oct 29, 2026
No releases found on the source.

Quality profile

algorithm quality-v1.0 · assessed Oct 15, 2026
Quality Score84
Risk Score0
Confidence 1.00
Quality Score and Risk Score are different measures. A high score does not guarantee safety.

Score components

Maintenance · 2020
last activity 1 days ago
Documentation · 1515
README 200000 chars, description present
Ready to use · 159
install instructions: yes; releases: no
Metadata · 1010
4/4 of description, homepage, license, topics
Releases · 102
0 release(s)
Category confidence · 1010
classifier confidence 1
Adoption · 1010
96402 stars (log-dampened, 10k = max)
License clarity · 55
SPDX MIT
Community · 53
issues disabled/unknown, 17717 forks

License

MIT
Known licensefrom the repository host

This is the catalog policy status, not legal advice.

Sources

github.com/punkpeye/awesome-mcp-serversPrimary★ 96,402 starslast activity Oct 15, 2026Primary repository · Confidence 1.00

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README

From punkpeye/awesome-mcp-servers · license MIT · fetched Oct 29, 2026

Awesome MCP Servers

[ไทย] [English] [繁體中文] [简体中文] [日本語] [한국어] [Português Brasileiro] [Discord] [Subreddit subscribers]

[!IMPORTANT] ray.run – from idea to a production-grade MCP server in under a minute! 🦜

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A curated list of awesome Model Context Protocol (MCP) servers.

  • What is MCP?
  • Clients
  • Remote Servers
  • Tutorials
  • Community
  • Legend
  • Server Implementations
  • Frameworks
  • Tips & Tricks

What is MCP?

MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

Clients

Checkout awesome-mcp-clients and glama.ai/mcp/clients.

Remote Servers

This list is for servers with a GitHub repo you install and run yourself. Looking for a hosted server you just connect to over a URL? See awesome-remote-mcp-servers.

Tutorials

Community

Legend

  • 🎖️ – official implementation

  • programming language

    • 🐍 – Python codebase
    • 📇 – TypeScript (or JavaScript) codebase
    • 🏎️ – Go codebase
    • 🦀 – Rust codebase
    • #️⃣ - C# Codebase
    • ☕ - Java codebase
    • 🌊 – C/C++ codebase
    • 💎 - Ruby codebase
  • scope

    • ☁️ - Cloud Service
    • 🏠 - Local Service
    • 📟 - Embedded Systems
  • operating system

    • 🍎 – For macOS
    • 🪟 – For Windows
    • 🐧 - For Linux

[!NOTE] Confused about Local 🏠 vs Cloud ☁️?

  • Use local when MCP server is talking to a locally installed software, e.g. taking control over Chrome browser.
  • Use cloud when MCP server is talking to remote APIs, e.g. weather API.

Server Implementations

[!NOTE] We now have a web-based directory that is synced with the repository.

  • 🔗 - Aggregators
  • 🤝 - Agreements & Coordination
  • 🎨 - Art & Culture
  • 📐 - Architecture & Design
  • 📂 - Browser Automation
  • 🧬 - Biology Medicine and Bioinformatics
  • ☁️ - Cloud Platforms
  • 👨‍💻 - Code Execution
  • 🤖 - Coding Agents
  • 🖥️ - Command Line
  • 💬 - Communication
  • 🗣️ - Conversational AI
  • 🔑 - Cryptography
  • 👤 - Customer Data Platforms
  • 🗄️ - Databases
  • 📊 - Data Platforms
  • 🚚 - Delivery
  • 🛠️ - Developer Tools
  • 🧮 - Data Science Tools
  • 📊 - Data Visualization
  • 📟 - Embedded system
  • 🎓 - Education
  • 🛒 - E-Commerce
  • 🌳 - Environment & Nature
  • 📂 - File Systems
  • 💰 - Finance & Fintech
  • 🎮 - Gaming
  • 🏠 - Home Automation
  • 🪪 - Identity
  • 🏭 - Industrial & IoT
  • 🧠 - Knowledge & Memory
  • ⚖️ - Legal
  • 🗺️ - Location Services
  • 🎯 - Marketing
  • 📊 - Monitoring
  • 🎥 - Multimedia Process
  • 🖥️ - OS Automation
  • 🎙️ - Podcasts
  • 📋 - Product Management
  • 🏠 - Real Estate
  • 🔬 - Research
  • 🔎 - Search & Data Extraction
  • 🔒 - Security
  • 🌐 - Social Media
  • 🔮 - Spirituality & Esoterica
  • 🏃 - Sports
  • 🎧 - Support & Service Management
  • 🌎 - Translation Services
  • 🎧 - Text-to-Speech
  • 🎙️ - Speech-to-Text
  • 🚆 - Travel & Transportation
  • 🔄 - Version Control
  • 🏢 - Workplace & Productivity
  • 🛠️ - Other Tools and Integrations

🔗 Aggregators

Servers for accessing many apps and tools through a single MCP server.

🚀 Aerospace & Astrodynamics

🤝 Agreements & Coordination

MCP servers for creating, coordinating, and executing agreements: commitments, escrow, and multi-party decision workflows across humans, agents, and organizations.

♿ Accessibility

  • kim-dongho/krds-a11y-mcp [kim-dongho/krds-a11y-mcp MCP server] 📇 🏠 🍎 🐧 - Korea's government design system (KRDS) components with KWCAG 2.2 (Korean web accessibility standard) built in: refuses markup when labels or alt text are missing, checks rendered pages with axe plus real keyboard and contrast measurements, and ships Claude Code/Codex hooks that keep agents from finishing while violations remain.
  • kinti/a11y-toolkit [kinti/a11y-toolkit MCP server] 🐍 🏠 - WCAG 2.2 accessibility tools: color contrast checks including text over images, EU accessibility declaration generation and an aria-live announcement monitor.
  • mishan/shotbox [mishan/shotbox MCP server] 🐍 🏠 🐧 - Runs real GUI programs in a sealed X11 or Wayland session where an agent can read the accessible tree, take screenshots and clips with sound, click, type and drive gamepads, then check what it finds: unnamed controls, contrast, Tab order, screen reader announcements and audio dropouts.
  • vince-gonzalez/opticquiz-mcp [vince-gonzalez/opticquiz-mcp MCP server] 📇 🏠 🍎 🪟 🐧 - Color-vision accessibility: check palettes and images for colorblind safety, generate safe palettes, simulate color blindness and create Ishihara-style plates.

🎨 Art & Culture

Access and explore art collections, cultural heritage, and museum databases. Enables AI models to search and analyze artistic and cultural content.

📐 Architecture & Design

Design and visualize software architecture, system diagrams, and technical documentation. Enables AI models to generate professional diagrams and architectural documentation.

Continue reading in the repository ↗