awesome-mcp-servers and metorial-index

Both repositories provide lists of Model Context Protocol (MCP) servers, making them competitors in their attempt to aggregate and present this information.

awesome-mcp-servers
73
Verified
metorial-index
44
Emerging
Maintenance 22/25
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): 100
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

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 metorial-index

metorial/metorial-index

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

This is a curated index of Model Context Protocol (MCP) servers, which are specialized tools that help integrate various external services with AI models and large language models (LLMs). It provides a list of different servers that allow you to connect AI applications to data sources, APIs, and other services. This resource is for developers who are building AI applications and need to connect them to real-world data and functionality.

AI development API integration LLM tooling developer resources application development

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