chore: update n8n to v1.106.3
- Updated n8n from 1.105.2 to 1.106.3 - Updated n8n-core from 1.104.1 to 1.105.3 - Updated n8n-workflow from 1.102.1 to 1.103.3 - Updated @n8n/n8n-nodes-langchain from 1.104.1 to 1.105.3 - Rebuilt node database with 535 nodes - All 1,728 tests passing - Bumped version to 2.10.4 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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README.md
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README.md
@@ -2,11 +2,11 @@
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[](https://opensource.org/licenses/MIT)
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[](https://github.com/czlonkowski/n8n-mcp)
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[](https://github.com/czlonkowski/n8n-mcp)
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[](https://github.com/czlonkowski/n8n-mcp)
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[](https://www.npmjs.com/package/n8n-mcp)
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[](https://codecov.io/gh/czlonkowski/n8n-mcp)
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[](https://github.com/czlonkowski/n8n-mcp/actions)
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[](https://github.com/n8n-io/n8n)
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[](https://github.com/czlonkowski/n8n-mcp/actions)
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[](https://github.com/n8n-io/n8n)
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[](https://github.com/czlonkowski/n8n-mcp/pkgs/container/n8n-mcp)
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[](https://railway.com/deploy/n8n-mcp?referralCode=n8n-mcp)
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@@ -16,7 +16,7 @@ A Model Context Protocol (MCP) server that provides AI assistants with comprehen
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n8n-MCP serves as a bridge between n8n's workflow automation platform and AI models, enabling them to understand and work with n8n nodes effectively. It provides structured access to:
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- 📚 **532 n8n nodes** from both n8n-nodes-base and @n8n/n8n-nodes-langchain
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- 📚 **535 n8n nodes** from both n8n-nodes-base and @n8n/n8n-nodes-langchain
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- 🔧 **Node properties** - 99% coverage with detailed schemas
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- ⚡ **Node operations** - 63.6% coverage of available actions
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- 📄 **Documentation** - 90% coverage from official n8n docs (including AI nodes)
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## 📊 Metrics & Coverage
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Current database coverage (n8n v1.103.2):
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Current database coverage (n8n v1.106.3):
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- ✅ **532/532** nodes loaded (100%)
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- ✅ **525** nodes with properties (98.7%)
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- ✅ **535/535** nodes loaded (100%)
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- ✅ **528** nodes with properties (98.7%)
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- ✅ **470** nodes with documentation (88%)
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- ✅ **267** AI-capable tools detected
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- ✅ **AI Agent & LangChain nodes** fully documented
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