# n8n Community Nodes MCP Server

> Use this tool when you need to access documentation for n8n nodes, whether community-developed or official, and integrate it with AI assistants for efficient discovery of n8n packages. It solves the problem of searching and accessing node documentation, providing token-optimized responses for seamless interaction. Ideal for use cases where AI-powered node discovery and documentation access are required, with inputs including search queries and outputs including relevant node documentation and package information.

Canonical page: https://skillsregistry.net/skills/dalisys-n8n-community-nodes-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dalisys-n8n-community-nodes-mcp

## Description

This MCP server enables users to search and access documentation for community-developed n8n nodes and official built-in nodes. It provides token-optimized responses for discovering n8n packages and documentation directly through AI assistants.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h8kkma3m9u)
- **Repository:** <https://github.com/dalisys/n8n-community-nodes-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dalisys-n8n-community-nodes-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dalisys-n8n-community-nodes-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dalisys-n8n-community-nodes-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt