What is an MCP server?
An MCP server is a program that offers tools, resources and prompts to AI applications over the Model Context Protocol.
How it works
A local server runs on your computer and talks to the client over standard input and output; a remote server runs on the web and answers over HTTP. A remote server that holds private data asks the client to sign in, usually with OAuth.
The server describes each tool with a name, a description and the arguments it takes. The model decides when to call one, and the client can ask the person before it does.
An example
A team’s documentation server offers search, read and write tools. In Cursor, a developer asks for the API conventions, and the agent calls the search tool, then the read tool, and answers from the team’s own spec.
Common mistakes
- Running an unknown local server, which has your computer’s access.
- Pasting a long-lived key into a shared configuration file.
- Giving one connection access to more workspaces than the task needs.
In Nodary
Nodary’s server is remote, at https://nodary.ai/api/mcp, over Streamable HTTP. Clients sign in with OAuth 2.1 (dynamic client registration and PKCE) or send an API key, and one connection can reach several workspaces, each call naming the one it works in. A connection makes up to 120 requests a minute, with no daily limit on writing, and a write retried with the same idempotency key never writes twice.
What Nodary does not do: there is no version of the server to run on your own computer or servers: it is hosted at nodary.ai.
The Nodary MCP server · Connect Claude Code
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