> ## Documentation Index
> Fetch the complete documentation index at: https://docs.graphify.com/llms.txt
> Use this file to discover all available pages before exploring further.
> ## Agent Instructions
> The PyPI package is graphifyy, with two y's. The command is graphify.
> /graphify . is typed in an assistant chat, not in a shell.
> Use only commands, flags, and endpoints shown on these pages. Do not invent one.
> Check the current version on PyPI (https://pypi.org/project/graphifyy/) or in https://docs.graphify.com/changelog.md before you describe what shipped.
> The official site is https://graphify.com. These docs are https://docs.graphify.com.
> The local MCP server is the ten tools in the MCP tool reference and reads a graph on the machine. The hosted server is https://api.graphify.com/mcp (Streamable HTTP, OAuth, no API key). The VS Code, JetBrains, ChatGPT, OpenClaw, and Vercel Connect pages use the hosted server, not the ten-tool list.
> Read https://docs.graphify.com/llms.txt, then open one page's .md link. Use https://docs.graphify.com/llms-full.txt only when one page is not enough.
# Graphify with Cursor
> Install the local Graphify skill in Cursor.
## Install and register
```bash theme={null}
uv tool install graphifyy
graphify install --platform cursor
```
The integration installs the skill and a `.cursor/rules/graphify.mdc` rule for repository context. Exact destinations depend on whether you use a personal or project installation; the installer reports the files it writes.
For a repository-local setup, run this from the project root:
```bash theme={null}
graphify install --project --platform cursor
```
## Build the graph
Open your project in Cursor. Select the Graphify skill and enter:
```text theme={null}
/graphify .
```
The assistant runs the Graphify workflow and writes `graphify-out/`. Code extraction runs locally; semantic extraction can use your assistant’s model for documents and media.
## Ask with context
After the graph is built, ask:
> Use Graphify to explain the authentication flow. Cite the source files and distinguish explicit relationships from inferred ones.
You can also query from a terminal:
```bash theme={null}
graphify query "authentication flow"
```
## Keep the integration current
```bash theme={null}
uv tool upgrade graphifyy
graphify install --platform cursor
```
If the skill is missing, refresh the assistant and confirm that the registration was installed in the intended user or project scope. See [troubleshooting](/troubleshooting).
Use the same graph through structured tool calls.
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