awesome-mcp-servers and awesome-mcp

These are ecosystem siblings—both are independently maintained curated registries/indexes of MCP servers and resources that serve the same discovery function but operate as parallel community efforts rather than competing or integrated solutions.

awesome-mcp-servers

Verified

awesome-mcp

Emerging

Maintenance 25/25

Adoption 10/25

Maturity 16/25

Community 25/25

Maintenance 13/25

Adoption 5/25

Maturity 9/25

Community 14/25

Stars: 562

Forks: 156

Downloads: —

Commits (30d): 150

Language: —

License: MIT

Stars: 10

Forks: 3

Downloads: —

Commits (30d): 0

Language: JavaScript

License: —

No Package No Dependents

About awesome-mcp-servers

TensorBlock/awesome-mcp-servers

A comprehensive collection of Model Context Protocol (MCP) servers

Curates over 7,260 MCP servers across 33 categories—from AI integration and databases to browser automation and hardware—enabling developers to discover standardized tools for connecting Claude and other AI models to external systems. The collection uses a community-driven contribution model where servers are organized by use case and vetted for public accessibility, making it a discovery layer for the MCP ecosystem. Servers communicate via stdio transport and connect AI assistants to APIs, filesystems, cloud platforms, and developer tools through a universal protocol interface.

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 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 awesome-mcp-servers and awesome-mcp-security

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