Automatelab N8n

AnMCPserver forn8nthat gives Claude, Cursor, and other AI agents tools for generating workflows, linting, diagnosing failed executions, and driving live n8n instances.

So we built a small, focused server:encode the failure modes the lint can catch, the cluster topology the generator must respect, and the diagnosis the agent can't do alone.For a walkthrough of the nine tools with example output, see thelaunch post on automatelab.tech.

Other n8n MCP servers (notablyczlonkowski/n8n-mcp) compete on breadth - 20+ tools and an indexed corpus of every n8n node. They own that niche.

Plus: a pairedAgent Skillthat teaches the model when to use which tool and where to load deeper context (split intoreferences/so it doesn't bloat the prompt).

- Claude Desktop one-click: build the.dxtbundle fromdxt/manifest.json(seedxt/README.md).
- Docker:docker build -t n8n-mcp . && docker run --rm -i -e N8N_API_URL=... -e N8N_API_KEY=... n8n-mcp.
- Render: drop inrender.yamland click "New from Blueprint".
- Railway:railway.toml—railway upin the repo root.
- Fly.io:fly.toml—fly launch --copy-config.

- uses: ratamaha-git/n8n-mcp@v1 with: command: 'lint' workflow-json: ${{ env.WORKFLOW_JSON }}

SeeACTION.mdandGITHUB-ACTION-SETUP.mdfor examples and publication details.

{ "mcpServers": { "n8n": { "command": "npx", "args": ["-y", "@automatelab/n8n-mcp"], "env": { "N8N_API_URL": "https://your-n8n.example.com", "N8N_API_KEY": "n8n_..." } } } }

Theenvblock is optional - the 4 stateless tools work without it. Get an API key from n8n:Settings → API → Create API key.

Restart your MCP host. The 12 dot-notation tools (workflow.,node.,execution.*) appear in the MCP panel.

Use workflow_generate to build: Stripe webhook → Slack message + new row in Google Sheets.

Returns workflow JSON ready for n8n's "Import from File" dialog.

Here's a failed execution from n8n. Why is the Slack node not firing? [paste JSON]

WARNING [Filter] Returned 0 items. Downstream nodes will not execute. hint: Common causes: (1) IF/Switch routed to the other branch — check parameters.conditions. (2) Filter/Set node dropped everything — inspect its output explicitly. INFO [Last node executed was "Filter". If the workflow stopped here unexpectedly, check its output items below.]

ERROR [AI Agent] AI Agent has no ai_languageModel sub-node connected. Attach a chat model (e.g. lmChatOpenAi). WARNING [Webhook] Webhook node has no webhookId. n8n auto-generates one on import, so the production URL will change. WARNING [LegacyFunction] Node type "n8n-nodes-base.function" is deprecated. Use "n8n-nodes-base.code".

Theexamples/directory ships with two ready-to-import workflows:

- workflow-stripe-to-slack.json- Stripe webhook fans out to Slack and Google Sheets.
- workflow-rss-to-discord.json- RSS feed trigger posts new items to a Discord channel.

Import either via n8n'sImport from Filedialog.

git clone https://github.com/ratamaha-git/n8n-mcp cd n8n-mcp npm install npm run build npm run smoke

npm run smokeboots the server with a--smokeflag that lists registered tools and exits without binding stdio. Useful for CI or first-run sanity checks.

This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases.

What Shopify did for ecommerce, Chipp does for AI agents. Build, deploy, and monetize AI agents for your business — no engineering team required.

CodeVF MCP lets AI hand off problems to real engineers instantly, so your workflows don’t stall when models hit their limits.

Client implementation for Mastra, providing seamless integration with MCP-compatible AI models and tools.

Agent-native developer Q&A API with MCP + A2A endpoints for citations, job pickup, and answer submission.

On-demand access to 150+ specialist AI agent templates — search, browse, and spawn agents. 150x reduction in context usage vs loading agents locally.

AgentChatBus is a persistent AI communication bus that lets multiple independent AI Agents chat, collaborate, and delegate tasks — across terminals, across IDEs, and across frameworks.

Remote MCP server (Streamable HTTP) at https://mcp.agenticrail.nz/ — deterministic step-order enforcement for AI agents. evaluate_step returns ALLOW or DENY before a step runs; verify_receipt proves a sequence's Ed25519-signed, hash-chained receipt chain is intact. No auth required: omit the bearer token and calls run on the public demo key. That first clause matters — the form has no "remote/hosted" field, and putting the endpoint in the description is the convention on that list ("Fully REMOTE! Just use…"). The rest mirrors your own server card verbatim, so the listing and the card can't drift.

An AI Agent with optional Human-in-the-Loop Safety and Model Context Protocol (MCP) integration.

Agent Mail Rooms is a paid remote MCP endpoint for OpenAI Codex agent coordination MCP. It exposes structured JSON tools, a public server card, token-based access, usage receipts, and audit-

MCP bridge that lets Claude Code delegate heavy tasks to the Antigravity CLI (agy) — purpose-built tools, model routing with fallback, session continuity, and output truncation to save Claude's context and tokens.