Most Popular Model Context Protocol (MCP) Servers

What is Most Popular Model Context Protocol (MCP) Servers?

This repository is a curated list of the most popular MCP servers based on usage data from Smithery.ai. It helps users discover and compare integrations for AI tools that use the Model Context Protocol.

How to use Most Popular Model Context Protocol (MCP) Servers?

Browse the list to find servers matching your needs. Each entry includes a name, usage count, and a link to more details on Smithery.ai. No installation or configuration is required for the list itself.

Key features of Most Popular Model Context Protocol (MCP) Servers

• Curated list of top MCP servers by usage
• Includes usage counts and links to servers
• Covers diverse tools like coding, search, and databases
• Lists additional notable MCP servers beyond the top
• Provides resources for MCP documentation and registry

Use cases of Most Popular Model Context Protocol (MCP) Servers

• Discover popular MCP servers for AI tool integration
• Compare server usage frequencies for community adoption
• Find inspiration for building or integrating with MCP
• Identify servers for web research, programming, or databases
• Learn about the MCP ecosystem through curated examples

FAQ from Most Popular Model Context Protocol (MCP) Servers

What is the Model Context Protocol (MCP)?

MCP is an open standard developed by Anthropic for building secure, two-way connections between data sources and AI-powered tools.

What servers are included in this list?

The list features 18 top servers by usage, such as Sequential Thinking, GitHub, Brave Search, and Web Research, plus other notable servers like AWS S3, Docker, and Google Calendar.

Where does the usage data come from?

The usage data is based on statistics from Smithery.ai, a registry of MCP servers.

How can I contribute to this list?

You can submit a pull request to add more MCP servers or update usage statistics.

What is the license for this repository?

This repository is licensed under the MIT License.