{"repo":"LunkiBR/n8n-mcp-lite","free":true,"listed":false,"github":"https://github.com/LunkiBR/n8n-mcp-lite","clone":"git clone https://github.com/LunkiBR/n8n-mcp-lite.git","description":"Token-optimized MCP Server for n8n workflows with Focus Mode","language":"TypeScript","stars":28,"topics":[],"license":null,"category":"mcp-servers","readme_excerpt":"n8n-mcp-lite MCP redesigned for real-world workflow scale. If your n8n workflow has more than 40 nodes, standard MCP becomes structurally unusable. n8n-mcp-lite remains viable. --- Benchmark Measured on identical workflows. Token counts via the OpenAI tokenizer. Scenario Standard MCP n8n-mcp-lite Reduction --- --- --- --- 5-node workflow 4,000 tokens 500 tokens 87% 78-node workflow 600,000+ tokens 16,500 tokens 97% Focus on 2 nodes (from 38) 135,000 tokens 2,600 tokens 98% Above 50 nodes, standard MCP stops being context-viable. n8n-mcp-lite remains usable. Standard MCP implementations serialize the full workflow graph on every context turn. In large workflows, this produces token counts that exceed practical context windows entirely — making reliable AI assistance structurally impossible above a certain workflow size. n8n-mcp-lite addresses this at the architecture level, not through compression or summarization hacks. --- Who This Is For n8n users with growing workflows - Want AI to help manage, debug, and extend workflows safely - Don't want to understand n8n JSON internals - Need confidence that AI won't break production Developers building production automation - Care about deterministic serialization - Need selective context for large workflows - Want rollback and structural guarantees before any mutation - Build workflows with 30, 50, 100+ nodes --- Quick Start 1. Complete installation for your client (Cursor / Claude Desktop). 2. Ask your AI assistant: \"List my n8n wo","default_branch":null,"files":null,"tree":[],"storefront":"/r/LunkiBR","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/LunkiBR/n8n-mcp-lite/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}