- Add optimized database schema with embedded source code storage
- Create optimized rebuild script that extracts source at build time
- Implement optimized MCP server reading from pre-built database
- Add Dockerfile.optimized with multi-stage build process
- Create comprehensive documentation and testing scripts
- Demonstrate 92% size reduction by removing runtime n8n dependencies
The optimization works by:
1. Building complete database at Docker build time
2. Extracting all node source code into the database
3. Creating minimal runtime image without n8n packages
4. Serving everything from pre-built SQLite database
This makes n8n-MCP suitable for resource-constrained production deployments.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- HTTP_REMOTE_DEPLOYMENT_PLAN.md: High-level architecture and implementation plan
- HTTP_IMPLEMENTATION_GUIDE.md: Detailed technical implementation with code examples
- HTTP_IMPLEMENTATION_ROADMAP.md: Day-by-day implementation checklist and milestones
- HTTP_REMOTE_SUMMARY.md: Executive summary with key findings and recommendations
- Updated README.md with references to future HTTP deployment plans
Key findings:
- Claude Desktop currently only supports stdio transport (local execution)
- mcp-remote adapter enables remote server connectivity as a bridge solution
- Implementation requires adding StreamableHTTPServerTransport support
- Dual-mode operation will maintain backward compatibility
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Document the dual-adapter system (better-sqlite3 and sql.js)
- Add technical decisions and implementation details
- Include problem/solution documentation for SQLite version mismatch
- Update architecture diagram with database-adapter.ts
- Add performance considerations and memory notes
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Removed all workflow execution capabilities per user requirements
- Implemented enhanced documentation extraction with operations and API mappings
- Fixed credential code extraction for all nodes
- Fixed package info extraction (name and version)
- Enhanced operations parser to handle n8n markdown format
- Fixed documentation search to prioritize app nodes over trigger nodes
- Comprehensive test coverage for Slack node extraction
- All node information now includes:
- Complete operations list (42 for Slack)
- API method mappings with documentation URLs
- Source code and credential definitions
- Package metadata
- Related resources and templates
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
- Add deploy-to-vm.sh script for easy VM deployment
- Add systemd service file template
- Add Nginx configuration with SSL and rate limiting
- Add DEPLOYMENT_QUICKSTART.md for n8ndocumentation.aiservices.pl
- Update REMOTE_DEPLOYMENT.md to reference quickstart
The deployment process is now streamlined:
1. Copy .env.example to .env
2. Configure for production (domain, auth token)
3. Run ./scripts/deploy-to-vm.sh
Tested locally with production configuration - all endpoints
working correctly with authentication.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Change default database path from nodes.db to nodes-v2.db
- This fixes the schema error when using NODE_DB_PATH from env
- Ensures consistency with the v2 implementation
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Separate configuration sections for local (stdio) and HTTP modes
- Fix variable names: MCP_SERVER_PORT/HOST for local mode
- Change default NODE_DB_PATH to ./data/nodes-v2.db for local dev
- Add missing REBUILD_ON_START variable
- Set NODE_ENV to development by default
- Add clear comments explaining which mode uses which variables
- Update README with cp .env.example .env step
The .env.example now properly supports both deployment modes
and will work out of the box when copied to .env.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Replace ISC license with Sustainable Use License v1.0
- Add LICENSE_FAQ.md explaining the fair-code approach
- Update package.json with new license identifier
- Add license headers to main entry point files
- Update README with clear license usage guidelines
Following n8n's licensing approach, this provides:
- Free use for internal business purposes
- Free use for personal/non-commercial projects
- Restrictions on hosting as a service
- Protection against commercial exploitation
No .ee. mechanism implemented yet - all features remain
freely available under the single license.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Remove all references to workflow execution/management features
- Delete legacy scripts for bidirectional n8n integration
- Update documentation to focus on node documentation serving only
- Remove old docker-compose files for workflow management
- Add simplified docker-compose.yml for documentation server
- Update CHANGELOG.md to reflect v2.0.0 and v2.1.0 changes
- Update Dockerfile to use v2 paths and database
The project is now clearly focused on serving n8n node documentation
to AI assistants, with no workflow execution capabilities.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add HTTP/JSON-RPC server for remote MCP access
- Configure domain and authentication via environment variables
- Create comprehensive remote deployment documentation
- Support both local (stdio) and remote (HTTP) deployment modes
- Add PM2 and Nginx configuration examples
- Update README with remote server instructions
The server can now be deployed on a VM (e.g., Hetzner) and accessed
from Claude Desktop over HTTPS using the configured domain.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Major refactoring to align with actual requirements:
- Purpose: Serve n8n node code/documentation to AI agents only
- No workflow execution or management features
- Complete node information including source code, docs, and examples
New features:
- Node documentation service with SQLite FTS5 search
- Documentation fetcher from n8n-docs repository
- Example workflow generator for each node type
- Simplified MCP tools focused on node information
- Complete database rebuild with all node data
MCP Tools:
- list_nodes: List available nodes
- get_node_info: Get complete node information
- search_nodes: Full-text search across nodes
- get_node_example: Get usage examples
- get_node_source_code: Get source code only
- get_node_documentation: Get documentation only
- rebuild_database: Rebuild entire database
- get_database_statistics: Database stats
Database schema includes:
- Node source code and metadata
- Official documentation from n8n-docs
- Generated usage examples
- Full-text search capabilities
- Category and type filtering
Updated README with:
- Clear purpose statement
- Claude Desktop installation instructions
- Complete tool documentation
- Troubleshooting guide
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Added step-by-step guide for installing MCP server in Claude Desktop
- Included platform-specific config file locations
- Added instructions for getting n8n API key
- Provided complete example configuration
- Enhanced troubleshooting section with Claude-specific issues
- Added verification steps to confirm successful setup
Major features implemented:
- SQLite storage service with FTS5 for fast node search
- Database rebuild mechanism for bulk node extraction
- MCP tools: search_nodes, extract_all_nodes, get_node_statistics
- Production Docker deployment with persistent storage
- Management scripts for database operations
- Comprehensive test suite for all functionality
Database capabilities:
- Stores node source code and metadata
- Full-text search by node name or content
- No versioning (stores latest only as per requirements)
- Supports complete database rebuilds
- ~4.5MB database with 500+ nodes indexed
Production features:
- Automated deployment script
- Docker Compose production configuration
- Database initialization on first run
- Volume persistence for data
- Management utilities for operations
Documentation:
- Updated README with complete instructions
- Production deployment guide
- Clear troubleshooting section
- API reference for all new tools
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Updated CLAUDE.md with complete project state and capabilities
- Enhanced README.md with node extraction features and examples
- Added CHANGELOG.md to track version history
- Documented new MCP tools and resources for node source extraction
- Added special features section highlighting AI Agent capabilities
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
This commit implements the ability to extract n8n node source code through MCP:
Features:
- New MCP tools: get_node_source_code and list_available_nodes
- NodeSourceExtractor utility for file system access to n8n nodes
- Support for extracting any n8n node including AI Agent from @n8n/n8n-nodes-langchain
- Resource endpoint for accessing node source: nodes://source/{nodeType}
Testing:
- Docker test environment with mounted n8n node_modules
- Multiple test scripts for different scenarios
- Comprehensive test documentation
- Standalone MCP client test demonstrating full extraction flow
The implementation successfully demonstrates:
1. MCP server can access n8n's installed nodes
2. Source code can be extracted and returned to MCP clients
3. Full metadata including package info and file locations
4. Support for credential code extraction when available
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
This commit adds a complete integration between n8n workflow automation and the Model Context Protocol (MCP):
Features:
- MCP server that exposes n8n workflows as tools, resources, and prompts
- Custom n8n node for connecting to MCP servers from workflows
- Bidirectional bridge for data format conversion
- Token-based authentication and credential management
- Comprehensive error handling and logging
- Full test coverage for core components
Infrastructure:
- TypeScript/Node.js project setup with proper build configuration
- Docker support with multi-stage builds
- Development and production docker-compose configurations
- Installation script for n8n custom node deployment
Documentation:
- Detailed README with usage examples and API reference
- Environment configuration templates
- Troubleshooting guide
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
