awesome-mcp-servers and awesome-mcp

These two projects are ecosystem siblings, both serving as curated lists of resources related to the Model Context Protocol (MCP), but with the first being a list specifically of MCP servers while the second is a broader collection of tools, libraries, research papers, projects, and tutorials.

awesome-mcp-servers
42
Emerging
awesome-mcp
41
Emerging
Maintenance 2/25
Adoption 10/25
Maturity 8/25
Community 22/25
Maintenance 13/25
Adoption 5/25
Maturity 9/25
Community 14/25
Stars: 5,232
Forks: 745
Downloads:
Commits (30d): 0
Language:
License:
Stars: 10
Forks: 3
Downloads:
Commits (30d): 0
Language: JavaScript
License:
No License Stale 6m No Package No Dependents
No Package No Dependents

About awesome-mcp-servers

appcypher/awesome-mcp-servers

Awesome MCP Servers - A curated list of Model Context Protocol servers

Covers 30+ MCP server categories spanning file systems, databases, APIs, cloud platforms, and development tools—enabling AI models to access specialized contexts beyond language understanding. Integrates with Claude Desktop, VS Code, Zed, Cursor, and other AI-powered editors through standardized stdio-based server implementations. Includes security guidance for sandboxing, permission isolation, and code review best practices to mitigate risks from arbitrary code execution.

About awesome-mcp

gauravfs-14/awesome-mcp

A carefully curated collection of high-quality tools, libraries, research papers, projects, and tutorials centered around Model Context Protocol (MCP) — a novel paradigm designed to enable modular, adaptive coordination between large language models (LLMs) and external tools or data contexts.

# Technical Summary Organizes 74+ peer-reviewed papers and implementations spanning MCP security frameworks, tool-orchestration architectures, and domain-specific applications (healthcare, IoT, wireless networks). Highlights emerging patterns in multi-agent LLM systems using structured tool routing, telemetry integration, and adaptive reasoning loops—from LangGraph-based designs to vision system extensions and distributed intelligence protocols. Covers critical concerns including OAuth-enhanced tool definitions, zero-trust registry approaches, and vulnerability audits for production MCP deployments across enterprise and autonomous systems.

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