MCP Find FAQs

Question 1

Does MCP Find provide configuration snippets for AI clients?

Accepted Answer

Yes, a core feature is its ability to generate ready-to-paste JSON configuration snippets for popular AI clients such as Claude Desktop, Cursor, VS Code, and Windsurf, streamlining the server integration process.

Question 2

What is MCP Find?

Accepted Answer

MCP Find is an open-source, AI-agent optimized directory designed to help users discover and configure Model Context Protocol (MCP) servers. It simplifies the process of finding relevant servers and generating client-specific setup snippets.

Question 3

What makes MCP Find different from other MCP directories?

Accepted Answer

MCP Find stands out as an open-source (MIT licensed) alternative. It prioritizes AI-agent optimized discovery, offers unique client configuration snippet generation, and displays crucial trust signals like GitHub stars and license to aid in server evaluation.

Question 4

How can developers contribute or add a new server to MCP Find?

Accepted Answer

Developers can contribute to MCP Find by forking the repository, enhancing its features, or submitting new open-source MCP servers. To add a server, simply include an entry in the `community-servers.yml` file and open a pull request.

Question 5

How does MCP Find optimize discovery for AI agents?

Accepted Answer

It's built for AI agent discovery, featuring semantic Server-Side Rendering (SSR), JSON-LD structured data, and a dedicated `/llms.txt` endpoint. This allows AI agents and crawlers to efficiently find, understand, and reason about available MCP servers.

MCP Find

MCP Find

主要功能

使用案例

主要功能

使用案例