awesome-mcp-servers and metorial-index

awesome-mcp-servers
76
Verified
metorial-index
44
Emerging
Maintenance 25/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 6/25
Adoption 10/25
Maturity 15/25
Community 13/25
Stars: 562
Forks: 156
Downloads:
Commits (30d): 150
Language:
License: MIT
Stars: 277
Forks: 22
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No Package No Dependents
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 metorial-index

metorial/metorial-index

Metorial MCP Index - An ever growing list of open source MCP servers 📁 🎉

Maintains a curated registry of MCP (Model Context Protocol) servers with standardized metadata and integration points, enabling AI assistants to discover and connect with tools across APIs, databases, and cloud platforms. Supports multiple transport mechanisms including stdio and Server-Sent Events (SSE), allowing flexible deployment in both local and hosted environments. The index bridges AI applications with diverse backends—from vector databases and web automation to blockchain operations and CMS systems—creating a unified protocol for context-aware tool integration.

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