> ## Documentation Index
> Fetch the complete documentation index at: https://docs.yertle.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Yertle MCP Server

> Connect AI agents to Yertle via the Model Context Protocol.

The Yertle MCP server exposes Yertle's API as a [Model Context Protocol](https://modelcontextprotocol.io) server, allowing AI agents (like Claude) to read and modify your Yertle workspace as part of their reasoning loop.

**Repo:** [model-context/yertle-mcp](https://github.com/model-context/yertle-mcp)

## What is MCP?

The Model Context Protocol is an open standard that lets AI assistants connect to external tools and data sources through a common interface. Once connected, an agent can list resources, call tools, and read documentation from a server without custom integration code per assistant.

## What you can do with it

With the Yertle MCP server connected to a compatible client, an agent can:

* List your organizations and nodes
* Read full node state including tags, connections, and child nodes
* Create new nodes and update existing ones
* Open pull requests on feature branches
* Search across your workspace

## Setup

See the [yertle-mcp README](https://github.com/model-context/yertle-mcp) for setup instructions, including how to wire it into Claude Desktop, Cursor, or other MCP-compatible clients.

## Contributing

The MCP server is open source. The API reference on this docs site is the source of truth for endpoint signatures — contributors should use it when adding new MCP tools.