What are the prerequisites?
Node.js v18 or higher, npm, and an MCP‑compatible client (Claude Code, VS Code, Cursor, etc.).
@ifmelate
Basic information
MCP server that allow LLM in agent mode builds n8n workflows for you
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"n8n-workflow-builder": {
"command": "node",
"args": [
"/absolute/path/to/n8n-workflow-builder-mcp/dist/index.js"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
An MCP server for building and manipulating n8n workflows using natural language prompts. Works with Claude Code, VS Code, Cursor, and any MCP‑compatible client.
Install via npx -y n8n-workflow-builder-mcp and set the environment variables N8N_API_URL and N8N_API_KEY (the N8N_VERSION is auto‑detected). Configure the server in your MCP client’s config file (.vscode/mcp.json, .cursor/mcp.json, or via claude mcp add).
Node.js v18 or higher, npm, and an MCP‑compatible client (Claude Code, VS Code, Cursor, etc.).
In your n8n instance, go to **Settings > API Keys**, click **Create API Key**, and copy the generated key.
184+ versions from 1.86.0 to 2.6.2, with automatic version detection and “closest lower version” matching for backward compatibility.
Check your MCP config for valid JSON and matching server name, update Node.js, clear npm cache (`npm cache clean --force`), or try a global install (`
This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independent
Neuronto Agentic Resource Discovery (ARD) Index. Federated search across every public ARD registry, plus a verified tool index read from each MCP server's own tools/list, hybrid lexical and semantic retrieval, and ARD-Bench.
Multi-Agent AI Orchestration Workshop
This is a very basic implementation of an Mcp-Reasoning-Server for Cursor AI .
emergency-medicare-planner-mcp-server
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