Or copy files manually from this repo (see the paths in the links above).
N8n MCP Rules MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Or copy files manually from this repo (see the paths in the links above).
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
Once N8n MCP Rules is connected, these are the calls the assistant has available:
Documentation — mcp-docs.synta.ioIssues — Report bugs or request featuresClient — SetupCursor — Setup →Claude.ai — Setup →ChatGPT — Setup →Codex — Setup →OpenClaw — Setup →OpenCode — Setup →WindSurf — Setup →This sits in the knowledge and memory group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. N8n MCP Rules's toolset — Documentation, Issues, Client and 7 more — is a fair guide to whether it matches your workflow. It is maintained by synta-ai; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against N8n MCP Rules's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Documentation | [mcp-docs.synta.io](https://mcp-docs.synta.io) |
| Issues | Report bugs or request features |
| Client | Setup |
| Cursor | [Setup →](https://mcp-docs.synta.io/rules#cursor) |
| Claude.ai | [Setup →](https://mcp-docs.synta.io/rules#claude-desktop-%26-claude-ai) |
| ChatGPT | [Setup →](https://mcp-docs.synta.io/rules#chatgpt) |
| Codex | [Setup →](https://mcp-docs.synta.io/rules#codex) |
| OpenClaw | [Setup →](https://mcp-docs.synta.io/rules#openclaw) |
| OpenCode | [Setup →](https://mcp-docs.synta.io/rules#opencode) |
| WindSurf | [Setup →](https://mcp-docs.synta.io/rules#windsurf) |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.