- Add @types/better-sqlite3 dependency
- Remove duplicate database mock file
- Fix property spread order in workflow builder to prevent overwrites
- All 75 tests now pass with no linting errors
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Create comprehensive test directory structure
- Implement better-sqlite3 mock for Vitest
- Add node factory using fishery for test data generation
- Create workflow builder with fluent API
- Add infrastructure validation tests
- Update testing checklist to reflect progress
All Phase 2 tasks completed successfully with 7 tests passing.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Remove Jest and all related packages
- Install Vitest with coverage support
- Create vitest.config.ts with path aliases
- Set up global test configuration
- Migrate all 6 test files to Vitest syntax
- Update TypeScript configuration for better Vitest support
- Create separate tsconfig.build.json for clean builds
- Fix all import/module issues in tests
- All 68 tests passing successfully
- Current coverage baseline: 2.45%
Phase 1 of testing suite improvement complete.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add AUTH_TOKEN_FILE environment variable support for reading auth tokens from files
- Support Docker secrets pattern for production deployments
- Add Known Issues section documenting Claude Desktop container duplication bug
- Update documentation with authentication options and best practices
- Fix issue #16: AUTH_TOKEN_FILE was documented but not implemented
- Add comprehensive tests for AUTH_TOKEN_FILE functionality
BREAKING CHANGE: None - AUTH_TOKEN continues to work as before
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Removed unused empty nodes-v2.db file
- Updated NodeDocumentationService to use nodes.db as default
- Updated test file to use correct database
- Added secret scanning exclusion for database files
This prevents confusion about which database is actually used and removes
the file that GitHub's security advisor was flagging.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Removed ~965MB of temporary directories (temp/, extracted-nodes/, etc)
- Deleted outdated database files and backups (.bak files)
- Removed legacy shell scripts (mcp-server-v20.sh, rebuild-v20.sh)
- Cleaned up orphan test files and debugging scripts
- Removed duplicate schema file (src/db/schema.sql)
- Deleted old Dockerfile.old and empty database files
- Updated documentation structure in README.md
- Added n8n_diagnostic tool to documentation
- Condensed version history in CLAUDE.md
- Created release notes for v2.7.0
Total impact: Removed 34 files, saving ~965MB+ of disk space
🤖 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>
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>
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>
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>
