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MCP·OVERVIEW

MCP

MCP (Model Context Protocol) is the open standard for connecting AI clients to external services. An MCP server exposes a set of tools and resources that any compatible client — Claude Desktop, Cursor, Windsurf, or a custom agent — can discover and call without bespoke integration code.

//NOTE

Coming soon. The Onnie MCP server is in active development. Until it ships, you can connect through the public API directly.

What MCP is

MCP defines a protocol layer between an AI client and a server that owns data or can perform actions. The client connects once, discovers what tools and resources the server advertises, and then calls them by name during inference. From the model's perspective it's the same as any other tool call — the protocol handles transport, authentication, and schema negotiation.

When it ships

The Onnie MCP server will expose your workspace as a set of callable tools. The planned surface includes tools for reading and writing tables and records, querying tasks, searching pages, and triggering routines — the same operations available through the public REST API, but in a form that any MCP-aware model can call directly.

Authentication will use the same workspace API key system as the REST API. When MCP ships, you will be able to generate a key under Settings → API Keys, paste it into your MCP client's configuration, and start calling Onnie tools from within any supported environment.

Watch the changelog for the release announcement.