What is MCP? MCP is the Model Context Protocol. When an AI app needs to look something up, change a file, or call another program, it connects to an external server through this protocol. The server offers tools it can call, data it can read, and prompts that are already written. The app decides when to use them.
Permissions sit on that connection. Which directories the server can see, which records it can change, and whether it can send requests outward should be visible before you authorize it. Maintenance belongs in the same check. A server with a full permission note and no recent update stays out of a workflow that runs every day.
How to read one record
MeetNewAI's MCP server list keeps these servers, skills, and connectors together. Open a record and check three things: the task it completes, how far the permission goes, and whether someone still maintains it. Install it when all three match. Leave it in the directory when one does not.
Two editorial records are ready to open. The MCP server list for a small team starts with search, documents, and task tools, and keeps permission and maintenance on the same record. The price is recorded as open source plus hosting, the source is the MeetNewAI desk, and the check date is October 14, 2026. The public MCP registry is for finding servers and skills you can actually use. The protocol, install method, and maintenance status are on the record. The source is modelcontextprotocol.io, checked the same day.
Connect one task first
Start with one task. Let it search, or let it read one document. Run it once, confirm the permission matches what you expected, then add the next server. The protocol notes are at modelcontextprotocol.io.