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

# Use Renor in n8n

> Import one workflow and an n8n AI Agent can recall and save with Renor over MCP.

n8n has an MCP Client Tool node, so an n8n AI Agent reaches Renor the way Claude Code does: one MCP address and one key.

```text theme={null}
https://mcp.renor.cloud/mcp
```

## Set up

1. In the [dashboard](https://app.renor.cloud), open **API keys** and choose **Create key**. It is shown once.
2. In n8n, create a **Header Auth** credential named for example `Renor`: header name `Authorization`, value `Bearer <your key>`.
3. Import `integrations/n8n/renor-memory.workflow.json` from the Renor repository (**Workflows → Import from file**, or `n8n import:workflow --input=integrations/n8n/renor-memory.workflow.json`).
4. On the **Renor memory** node select the `Renor` credential; on **Chat model** select your model credential.

The workflow is a chat trigger, an AI Agent, a chat model and the MCP Client Tool node set to Streamable HTTP. The node offers the agent two of Renor's 24 tools ([Tools](https://renor.mintlify.site/tools.md)):

* `get_context`: the agent calls it before answering, with the current request.
* `remember`: the agent calls it when you ask it to keep something.

Offering only these two keeps each request small; remove the tool filter on the node to give the agent all 24.

## Try it

In the chat, say "Remember that I deploy with Kamal to the server orca-7." Start a new chat and ask "How do I deploy?" The second chat has no history, so the answer can only come from Renor.

The key belongs to your workspace: whatever this agent saves, your other connected agents can recall (see [Several agents, one memory](https://renor.mintlify.site/several-agents-one-memory.md)).


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