MCP Server
A server that implements the Model Context Protocol, allowing AI models to interact with external tools and data sources in a standardized way.
The Problem MCP Solves
Every AI tool used to need custom integrations for every service it wanted to access. Calendar access? Custom code. Email? Different custom code. Database? Yet another integration.
MCP standardizes this. One protocol for AI models to talk to external systems.
How It Works
An MCP server exposes "tools" that AI models can use. Each tool has:
- A name and description
- Input parameters
- Output format
When an AI needs to check your calendar, it calls the calendar MCP server's list_events tool. The server handles authentication, makes the request, and returns results in a standard format.
Why Developers Like MCP
Build once, work everywhere. Create an MCP server for your service, and any MCP-compatible AI can use it.
Security built in. MCP defines how permissions work, so you're not reinventing authentication for every integration.
Growing ecosystem. More pre-built servers become available as the community contributes.
Finding MCP Servers
ClawReview maintains a directory of MCP servers with reviews. Look for servers that handle the services you need, and check reviews for reliability and security concerns.