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MCP verified MIT Self-run

Punkpeye Awesome Mcp Servers

mcp-sherzodkhaydarov-punkpeye-awesome-mcp-servers · by SherzodKhaydarov

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

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Install

$ agentstack add mcp-sherzodkhaydarov-punkpeye-awesome-mcp-servers

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/mcp-sherzodkhaydarov-punkpeye-awesome-mcp-servers)

Reliability & compatibility

Security review passed
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stale · 1y ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Awesome MCP Servers [](https://awesome.re)

[](README.md) [](README-zh.md) [](README-ja.md) [](https://glama.ai/mcp/discord) [](https://www.reddit.com/r/mcp/)

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

  • [What is MCP?](#what-is-mcp)
  • [Tutorials](#tutorials)
  • [Server Implementations](#server-implementations)
  • [Frameworks](#frameworks)
  • [Tips & Tricks](#tips-and-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.

Tutorials

Community

Legend

  • 🎖️ – official implementation
  • programming language
  • 🐍 – Python codebase
  • 📇 – TypeScript codebase
  • 🏎️ – Go codebase
  • 🦀 – Rust codebase
  • #️⃣ - C# Codebase
  • scope
  • ☁️ - Cloud Service
  • 🏠 - Local Service
  • operating system
  • 🍎 – For macOS
  • 🪟 – For Windows

> [!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 network 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.

  • 📂 - [Browser Automation](#browser-automation)
  • 🎨 - [Art & Culture](#art-and-culture)
  • ☁️ - [Cloud Platforms](#cloud-platforms)
  • 🖥️ - [Command Line](#command-line)
  • 💬 - [Communication](#communication)
  • 👤 - [Customer Data Platforms](#customer-data-platforms)
  • 🗄️ - [Databases](#databases)
  • 🛠️ - [Developer Tools](#developer-tools)
  • 📂 - [File Systems](#file-systems)
  • 💰 - [Finance & Fintech](#finance--fintech)
  • 🧠 - [Knowledge & Memory](#knowledge--memory)
  • 🗺️ - [Location Services](#location-services)
  • 📊 - [Monitoring](#monitoring)
  • 🔎 - [Search](#search)
  • 🔒 - [Security](#security)
  • 🚆 - [Travel & Transportation](#travel-and-transportation)
  • 🔄 - [Version Control](#version-control)
  • 🛠️ - [Other Tools and Integrations](#other-tools-and-integrations)

📂 Browser Automation

Web content access and automation capabilities. Enables searching, scraping, and processing web content in AI-friendly formats.

🎨 Art & Culture

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

☁️ Cloud Platforms

Cloud platform service integration. Enables management and interaction with cloud infrastructure and services.

🖥️ Command Line

Run commands, capture output and otherwise interact with shells and command line tools.

💬 Communication

Integration with communication platforms for message management and channel operations. Enables AI models to interact with team communication tools.

👤 Customer Data Platforms

Provides access to customer profiles inside of customer data platforms

🗄️ Databases

Secure database access with schema inspection capabilities. Enables querying and analyzing data with configurable security controls including read-only access.

💻 Developer Tools

Tools and integrations that enhance the development workflow and environment management.

🧮 Data Science Tools

Integrations and tools designed to simplify data exploration, analysis and enhance data science workflows.

📂 File Systems

Provides direct access to local file systems with configurable permissions. Enables AI models to read, write, and manage files within specified directories.

💰 Finance & Fintech

Financial data access and cryptocurrency market information. Enables querying real-time market data, crypto prices, and financial analytics.

  • QuantGeekDev/coincap-mcp 📇 ☁️ - Real-time cryptocurrency market data integration using CoinCap's public API, providing access to crypto prices and market information without API keys
  • anjor/coinmarket-mcp-server 🐍 ☁️ - Coinmarket API integration to fetch cryptocurrency listings and quotes
  • berlinbra/alpha-vantage-mcp 🐍 ☁️ - Alpha Vantage API integration to fetch both stock and crypto information

🧠 Knowledge & Memory

Persistent memory storage using knowledge graph structures. Enables AI models to maintain and query structured information across sessions.

  • @modelcontextprotocol/server-memory 📇 🏠 - Knowledge graph-based persistent memory system for maintaining context
  • /CheMiguel23/MemoryMesh 📇 🏠 - Enhanced graph-based memory with a focus on AI role-play and story generation
  • /topoteretes/cognee 📇 🏠 - Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources
  • @hannesrudolph/mcp-ragdocs 🐍 🏠 - An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context
  • @kaliaboi/mcp-zotero 📇 ☁️ - A connector for LLMs to work with collections and sources on your Zotero Cloud

🗺️ Location Services

Geographic and location-based services integration. Enables access to mapping data, directions, and place information.

  • [@modelcontextprotocol/server-google-maps](https://github.com/modelcontextprotocol/servers/tree/main/src/google-ma

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.