awesome-mcp-servers and awesome-mcp-security

These tools are complements, with "awesome-mcp-servers" listing implementations of the Model Context Protocol, while "awesome-mcp-security" focuses on security aspects relevant to these same protocol implementations.

awesome-mcp-servers
73
Verified
awesome-mcp-security
46
Emerging
Maintenance 22/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 10/25
Adoption 10/25
Maturity 8/25
Community 18/25
Stars: 562
Forks: 156
Downloads:
Commits (30d): 100
Language:
License: MIT
Stars: 663
Forks: 67
Downloads:
Commits (30d): 0
Language:
License:
No Package No Dependents
No License No Package No Dependents

About awesome-mcp-servers

TensorBlock/awesome-mcp-servers

A comprehensive collection of Model Context Protocol (MCP) servers

This is a curated collection of Model Context Protocol (MCP) servers, which act like universal adapters for AI models. It helps AI users connect their AI assistants, research agents, or other AI tools to a vast array of external services like databases, web browsers, communication platforms, and more. If you're using an AI model and need it to interact with real-world data or services, this list provides the specific 'server' connections you need.

AI-integration AI-agents data-access workflow-automation tool-connection

About awesome-mcp-security

Puliczek/awesome-mcp-security

🔥🔒 Awesome MCP (Model Context Protocol) Security 🖥️

This project is a comprehensive guide for understanding and implementing security measures for systems utilizing the Model Context Protocol (MCP). It compiles essential information, including security specifications, research papers, videos, and articles, to help practitioners safeguard their MCP implementations. The intended users are security professionals, AI developers, and system architects who need to ensure the robustness and safety of their AI agent deployments.

AI Security Model Context Protocol AI Agent Safety Application Security Enterprise AI Integration

Scores updated daily from GitHub, PyPI, and npm data. How scores work