MCP
A program that exposes tools, resources, and prompt templates to AI clients through the Model Context Protocol.
A program that exposes tools, resources, and prompt templates to AI clients through the Model Context Protocol. MCP servers can provide access to databases, APIs, file systems, deployment pipelines, or any external service. They communicate with clients over stdio (spawned as a child process) or HTTP/SSE (running as a web service). Anyone can build and publish an MCP server.
Example
In practice, developers reach for MCP Server when they need the capability described above as part of an AI feature or workflow.
Hands-on guides, comparisons, and tutorials that cover MCP.
FAQ
A program that exposes tools, resources, and prompt templates to AI clients through the Model Context Protocol.
MCP Server sits in the MCP part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Developers Digest publishes tutorials and videos that cover MCP topics including MCP Server. Check the blog and YouTube channel for hands-on walkthroughs.
Related
A Model Context Protocol extension, made first-class in the 2026-07-28 spec, that gives long-running work a proper home - builds, deployments, long agent runs, and batch jobs that do not finish inside a single request.
The communication layer between an MCP client and server.
An application that connects to MCP servers to use the tools, resources, and prompts they expose.

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