New to MCP? Two minutes and you're running.
Your AI assistant (Claude, Cursor, and the like) can plug into outside tools: your database, GitHub, web search, thousands more. The plug is a standard called MCP. SocketCat is where you find those tools and add them, without guessing which are any good.
Open a server, pick your editor (Claude, Cursor, VS Code, Cline), and hit copy. That is the whole setup.
Drop it into your editor's config, restart, and your assistant can use the tool. No accounts, no build step.
Not sure which editor you have? The config tabs on every server page cover the common ones.
How to read a server page
Every server shows the same few signals in the same spots, so once you learn them here you can size up any tool in a couple of seconds.
A clear A-to-E score built from four things anyone can check: is it maintained, do people use it, is it complete, does it work. Open the panel on a server to see the exact math.
Who published it, and what the official registry proved. Publisher means a company's own verified domain. Verified means a proven GitHub identity. No badge means community, so check the source first.
Flags a known security advisory in the tool's dependencies. Green means none known, not a guarantee, so still read what it can access.
Exactly what the tool can touch before you run it: your secrets, the network, your files. Read this first for anything that handles sensitive data.
For hosted tools you can list and call the real tools right in the page. For local ones you get a one-line command to test it on your machine.
And when one tool isn't enough: blueprints
A blueprint is a ready-made team of AI agents that work together (one researches, one writes, one checks). Open one and you can read exactly how it works and export runnable code for LangGraph or CrewAI, wired to real tools. There are 12 to fork.