Awesome-MCP-Servers and awesome-mcp

These are ecosystem siblings—both are community-curated registries that index and categorize MCP servers and resources, serving the same discovery function but maintained by different contributors as parallel alternatives within the MCP ecosystem.

Awesome-MCP-Servers
56
Established
awesome-mcp
41
Emerging
Maintenance 17/25
Adoption 10/25
Maturity 13/25
Community 16/25
Maintenance 13/25
Adoption 5/25
Maturity 9/25
Community 14/25
Stars: 1,029
Forks: 68
Downloads: —
Commits (30d): 8
Language: —
License: Apache-2.0
Stars: 10
Forks: 3
Downloads: —
Commits (30d): 0
Language: JavaScript
License: —
No Package No Dependents
No Package No Dependents

About Awesome-MCP-Servers

YuzeHao2023/Awesome-MCP-Servers

A curated list of Model Context Protocol (MCP) servers

Organizes 6,000+ MCP server implementations across 30+ functional categories (databases, cloud platforms, APIs, automation tools) with security guidance and multi-language documentation. The collection spans both official vendor implementations and community-contributed servers, enabling AI clients like Claude Desktop and Cursor to access standardized integrations for file systems, databases, APIs, and external services. Includes reference implementations, management tools, and security best practices for sandboxing MCP servers to mitigate code execution and data exposure risks.

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.

Related comparisons

Awesome-MCP-Servers and awesome-mcp-servers Awesome-MCP-Servers and Awesome-MCP Awesome-MCP-Servers and awesome-mcp-servers Awesome-MCP-Servers and best-of-mcp-servers Awesome-MCP-Servers and awesome-mcp-servers-devops Awesome-MCP-Servers and awesome-mcp-enterprise

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