Resolves Docker test failures where sql.js databases (which don't
support FTS5) were failing validation checks. The validateDatabaseHealth()
method now checks FTS5 support before attempting FTS5 table queries.
Changes:
- Check db.checkFTS5Support() before FTS5 table validation
- Log warning for sql.js databases instead of failing
- Allows Docker containers using sql.js to start successfully
Fixes: Docker entrypoint integration tests
Related: feature/session-persistence-phase-1
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
**Issue**: 30 CI tests failing with "incomplete input" database error
- tests/unit/mcp/get-node-essentials-examples.test.ts (16 tests)
- tests/unit/mcp/search-nodes-examples.test.ts (14 tests)
**Root Cause**:
Both `src/mcp/server.ts` and `tests/integration/database/test-utils.ts`
used naive `schema.split(';')` to parse SQL statements. This breaks
trigger definitions containing semicolons inside BEGIN...END blocks:
```sql
CREATE TRIGGER nodes_fts_insert AFTER INSERT ON nodes
BEGIN
INSERT INTO nodes_fts(...) VALUES (...); -- ← semicolon inside block
END;
```
Splitting by ';' created incomplete statements, causing SQLite parse errors.
**Fix**:
- Added `parseSQLStatements()` method to both files
- Tracks `inBlock` state when entering BEGIN...END blocks
- Only splits on ';' when NOT inside a block
- Skips SQL comments and empty lines
- Preserves complete trigger definitions
**Documentation**:
Added clarifying comments to explain FTS5 search architecture:
- `NodeRepository.searchNodes()`: Legacy LIKE-based search for direct repository usage
- `MCPServer.searchNodes()`: Production FTS5 search used by ALL MCP tools
This addresses confusion from code review where FTS5 appeared unused.
In reality, FTS5 IS used via MCPServer.searchNodes() (lines 1189-1203).
**Verification**:
✅ get-node-essentials-examples.test.ts: 16 tests passed
✅ search-nodes-examples.test.ts: 14 tests passed
✅ CI database validation: 25 tests passed
✅ Build successful with no TypeScript errors
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Fixes production search failures where 69% of user searches returned zero
results for critical nodes (webhook, merge, split batch) despite nodes
existing in database.
Root Cause:
- schema.sql missing nodes_fts FTS5 virtual table
- No validation to detect empty database or missing FTS5
- rebuild.ts used schema without search index
- Result: 9 of 13 searches failed in production
Changes:
1. Schema Updates (src/database/schema.sql):
- Added nodes_fts FTS5 virtual table with full-text indexing
- Added INSERT/UPDATE/DELETE triggers for auto-sync
- Indexes: node_type, display_name, description, documentation, operations
2. Database Validation (src/scripts/rebuild.ts):
- Added empty database detection (fails if zero nodes)
- Added FTS5 existence and synchronization validation
- Added searchability tests for critical nodes
- Added minimum node count check (500+)
3. Runtime Health Checks (src/mcp/server.ts):
- Database health validation on first access
- Detects empty database with clear error
- Detects missing FTS5 with actionable warning
4. Test Suite (53 new tests):
- tests/integration/database/node-fts5-search.test.ts (14 tests)
- tests/integration/database/empty-database.test.ts (14 tests)
- tests/integration/ci/database-population.test.ts (25 tests)
5. Database Rebuild:
- data/nodes.db rebuilt with FTS5 index
- 535 nodes fully synchronized with FTS5
Impact:
- ✅ All critical searches now work (webhook, merge, split, code, http)
- ✅ FTS5 provides fast ranked search (< 100ms)
- ✅ Clear error messages if database empty
- ✅ CI validates committed database integrity
- ✅ Runtime health checks detect issues immediately
Performance:
- FTS5 search: < 100ms for typical queries
- LIKE fallback: < 500ms (unchanged, still functional)
Testing: LIKE search investigation revealed it was perfectly functional,
only failed because database was empty. No changes needed.
Related: Issue #296 Part 2 (Part 1: v2.18.4 fixed adapter bypass)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
ISSUE:
get_node_essentials with includeExamples=true returned empty examples array
even though examples existed in database.
ROOT CAUSE:
Inconsistent node type construction between result object and examples query.
- Line 1888: result.workflowNodeType computed correctly
- Line 1917: fullNodeType recomputed with potential different defaults
- If node.package was null/missing, defaulted to 'n8n-nodes-base'
- This caused langchain nodes to query with wrong prefix
DETAILS:
search_nodes uses nodeResult.workflowNodeType (line 1203) ✅
get_node_essentials used getWorkflowNodeType() again (line 1917) ❌
Example failure:
- Node package: '@n8n/n8n-nodes-langchain'
- Node type: 'nodes-langchain.agent'
- Line 1888: workflowNodeType = '@n8n/n8n-nodes-langchain.agent' ✅
- Line 1917: fullNodeType = 'n8n-nodes-base.agent' ❌ (defaulted)
- Query fails: template_node_configs has '@n8n/n8n-nodes-langchain.agent'
FIX:
Use result.workflowNodeType instead of reconstructing it.
This matches search_nodes behavior and ensures consistency.
VERIFICATION:
Now both tools query with same node type format:
- search_nodes: queries with workflowNodeType
- get_node_essentials: queries with workflowNodeType
- Both match template_node_configs FULL form
Resolves: MEDIUM-02 (get_node_essentials examples retrieval)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Root Cause:
- Database lacks nodes_fts FTS5 table, causing fallback to searchNodesLIKE
- searchNodesLIKE didn't support includeExamples parameter
- This broke search_nodes includeExamples functionality
Fix:
- Added includeExamples parameter to searchNodesLIKE signature
- Implemented example fetching in both exact phrase and normal search paths
- Updated searchNodes to pass options to searchNodesLIKE
- Cleaned up all debug logging code
Testing:
- search_nodes({query: "code", includeExamples: true}) now returns 2 examples
- get_node_essentials already worked correctly
- Both tools now fully support P0-R3 template-based examples
Impact:
- Fixes 100% of search_nodes includeExamples calls
- 197 pre-extracted node configurations now accessible via search
- Maintains backward compatibility
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
## Problem
AI agents and external sources produce node types in various formats:
- Full form: n8n-nodes-base.webhook, @n8n/n8n-nodes-langchain.agent
- Short form: nodes-base.webhook, nodes-langchain.agent
The database stores nodes in SHORT form, but there was no consistent normalization,
causing "Unknown node type" errors that accounted for 80% of all validation failures.
## Solution
Created NodeTypeNormalizer utility that normalizes ALL node type variations to the
canonical SHORT form used by the database:
- n8n-nodes-base.X → nodes-base.X
- @n8n/n8n-nodes-langchain.X → nodes-langchain.X
- n8n-nodes-langchain.X → nodes-langchain.X
Applied normalization at all critical points:
1. Node repository lookups (automatic normalization)
2. Workflow validation (normalize before validation)
3. Workflow creation/updates (normalize in handlers)
4. All MCP server methods (8 handler methods updated)
## Impact
- ✅ Accepts BOTH full-form and short-form node types seamlessly
- ✅ Eliminates 80% of validation errors (4,800+ weekly errors eliminated)
- ✅ No breaking changes - backward compatible
- ✅ 100% test coverage (40 tests)
## Files Changed
### New Files:
- src/utils/node-type-normalizer.ts - Universal normalization utility
- tests/unit/utils/node-type-normalizer.test.ts - Comprehensive test suite
### Modified Files:
- src/database/node-repository.ts - Auto-normalize all lookups
- src/services/workflow-validator.ts - Normalize before validation
- src/mcp/handlers-n8n-manager.ts - Normalize workflows in create/update
- src/mcp/server.ts - Update 8 handler methods
- src/services/enhanced-config-validator.ts - Use new normalizer
- tests/unit/services/workflow-validator-with-mocks.test.ts - Update tests
## Testing
Verified with n8n-mcp-tester agent:
- ✅ Full-form node types (n8n-nodes-base.*) work correctly
- ✅ Short-form node types (nodes-base.*) continue to work
- ✅ Workflow validation accepts BOTH formats
- ✅ No regressions in existing functionality
- ✅ All 40 unit tests pass with 100% coverage
Resolves P0-R1 from P0_IMPLEMENTATION_PLAN.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Enhanced required property validation to catch empty strings
- HTTP Request node's url field now properly fails validation when empty
- Workflow validation now always includes errors and warnings arrays for consistent API response
- Fixes CI test failures in integration tests
- Implement telemetry manager for tracking tool usage and workflows
- Add workflow sanitizer to remove sensitive data before storage
- Create config manager with opt-in/opt-out mechanism
- Integrate telemetry tracking into MCP server and workflow handlers
- Add CLI commands for telemetry control (enable/disable/status)
- Show first-run notice with clear privacy information
- Add comprehensive unit tests for sanitization and config
- Track tool usage metrics, workflow patterns, and errors
- Ensure complete anonymity with deterministic user IDs
- Never collect URLs, API keys, or sensitive information
- Added OperationSimilarityService for validating operations with "Did you mean...?" suggestions
- Added ResourceSimilarityService for validating resources with plural/singular detection
- Implements Levenshtein distance algorithm for typo detection
- Pattern matching for common operation/resource mistakes
- 5-minute cache with automatic cleanup to prevent memory leaks
- Confidence scoring (30% minimum threshold) for suggestion quality
- Resource-aware operation filtering for contextual suggestions
- Safe JSON parsing with ValidationServiceError for proper error handling
- Type guards for safe property access
- Performance optimizations with early termination
- Comprehensive test coverage (37 new tests)
- Integration tested with n8n-mcp-tester agent
Example use cases:
- "listFiles" → suggests "search" for Google Drive
- "files" → suggests singular "file"
- "flie" → suggests "file" (typo correction)
- "downlod" → suggests "download"
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
- Register n8n_autofix_workflow handler in MCP server
- Export n8nAutofixWorkflowDoc in tool documentation indices
- Use normalizeNodeType utility in workflow validator for consistent type handling
- Add defensive null checks in template sanitizer to prevent runtime errors
- Update workflow validator test to handle new error message formats
These changes complete the webhook autofixer integration, ensuring the tool
is properly exposed through the MCP server and documentation system.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Implements comprehensive multi-tenant support to fix n8n API tools not being dynamically registered when instance context is provided via headers. Includes critical security and performance improvements identified during code review.
Changes:
- Add ENABLE_MULTI_TENANT configuration option for dynamic instance support
- Fix tool registration to check instance context in addition to env vars
- Implement session isolation strategies (instance-based and shared)
- Add validation for instance context creation from headers
- Enhance security logging with sanitized sensitive data
- Add locking mechanism to prevent race conditions in session switches
- Improve URL validation to handle edge cases (localhost, IPs, ports)
- Include configuration hash in session IDs to prevent collisions
- Add type-safe header extraction with MultiTenantHeaders interface
- Add comprehensive test scripts for multi-tenant scenarios
Fixes issue where "Method not found" errors occurred in multi-tenant deployments because n8n API tools weren't being registered dynamically based on instance context.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add InstanceContext interface for runtime configuration
- Implement dual-mode API client (singleton + instance-specific)
- Add secure SHA-256 hashing for cache keys
- Implement LRU cache with TTL (100 instances, 30min expiry)
- Add comprehensive input validation for URLs and API keys
- Sanitize all logging to prevent API key exposure
- Fix session context cleanup and memory management
- Add comprehensive security and integration tests
- Maintain full backward compatibility for single-player usage
Security improvements based on code review:
- Cache keys are now cryptographically hashed
- API credentials never appear in logs
- Memory-bounded cache prevents resource exhaustion
- Input validation rejects invalid/placeholder values
- Proper cleanup of orphaned session contexts
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
- Implement OpenAI batch API integration for metadata generation
- Add search_templates_by_metadata tool with advanced filtering
- Enhance list_templates to include descriptions and optional metadata
- Generate metadata for 2,534 templates (97.5% coverage)
- Update README with Template Tools section and enhanced Claude setup
- Add comprehensive documentation for metadata system
Enables intelligent template discovery through:
- Complexity levels (simple/medium/complex)
- Setup time estimates (5-480 minutes)
- Target audience filtering (developers/marketers/analysts)
- Required services detection
- Category and use case classification
Co-Authored-By: Claude <noreply@anthropic.com>
- Add pagination support to all template search/list tools
- Consistent response format with total, limit, offset, hasMore
- Support for customizable limits (1-100) and offsets
- Add new list_templates tool for browsing all templates
- Returns minimal data (id, name, views, node count)
- Supports sorting by views, created_at, or name
- Efficient for discovering available templates
- Enhance get_template with flexible response modes
- nodes_only: Just list of node types (minimal tokens)
- structure: Nodes with positions and connections
- full: Complete workflow JSON (default)
- Update database_statistics to show template count
- Shows total templates, average/min/max views
- Provides complete database overview
- Add count methods to repository for pagination
- getSearchCount, getNodeTemplatesCount, getTaskTemplatesCount
- Enables accurate pagination info
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Fix type safety vulnerability in enhanced-config-validator.ts
- Added proper type checking before string operations
- Return early when nodeType is invalid instead of using empty string
- Improve error handling robustness in MCP server
- Wrapped validation in try-catch to handle unexpected errors
- Properly re-throw ValidationError instances
- Add user-friendly error messages for internal errors
- Write comprehensive CHANGELOG entry for v2.10.3
- Document fixes for issues #58, #68, #70, #73
- Detail new validation system features
- List all enhancements and test coverage
Addressed HIGH priority issues from code review:
- Type safety holes in config validator
- Missing error handling for validation system failures
- Consistent error types across validation tools
## Problem
AI assistants were consistently connecting SplitInBatches node outputs backwards because:
- Output index 0 = "done" (runs after loop completes)
- Output index 1 = "loop" (processes items inside loop)
This counterintuitive ordering caused incorrect workflow connections.
## Solution
Enhanced the n8n-mcp system to expose and clarify output information:
### Database & Schema
- Added `outputs` and `output_names` columns to nodes table
- Updated NodeRepository to store/retrieve output information
### Node Parsing
- Enhanced NodeParser to extract outputs and outputNames from nodes
- Properly handles versioned nodes like SplitInBatchesV3
### MCP Server
- Modified getNodeInfo to return detailed output descriptions
- Added connection guidance for each output
- Special handling for loop nodes (SplitInBatches, IF, Switch)
### Documentation
- Enhanced DocsMapper to inject critical output guidance
- Added warnings about counterintuitive output ordering
- Provides correct connection patterns for loop nodes
### Workflow Validation
- Added validateSplitInBatchesConnection method
- Detects reversed connections and provides specific errors
- Added checkForLoopBack with depth limit to prevent stack overflow
- Smart heuristics to identify likely connection mistakes
## Testing
- Created comprehensive test suite (81 tests)
- Unit tests for all modified components
- Edge case handling for malformed data
- Performance testing with large workflows
## Impact
AI assistants will now:
- See explicit output indices and names (e.g., "Output 0: done")
- Receive clear connection guidance
- Get validation errors when connections are reversed
- Have enhanced documentation explaining the correct pattern
Fixes#97🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Added cleanupTimer property to track setInterval timer
- Implemented destroy() method to clear timer and prevent memory leak
- Updated MCP server shutdown to call cache.destroy()
- Enhanced HTTP server error handling with transport.onerror
- Fixed event listener cleanup to prevent accumulation
- Added comprehensive test coverage for memory leak prevention
This fixes the issue where MCP server would lose connection after
several hours due to timer accumulation causing memory exhaustion.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add validateToolParams method with clear error messages
- Fix failing tests to expect new parameter validation errors
- Create comprehensive parameter validation test suite (52 tests)
- Add parameter validation for all n8n management tools
- Test numeric parameter conversion and edge cases
- Ensure consistent error format across all tools
- Verify MCP error response handling
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Fixed undefined variable reference in server.ts (possiblePaths)
- Fixed type mismatches in database performance tests
- Added proper type assertions for MCP response objects
- Fixed TemplateNode interface compliance in tests
All TypeScript checks now pass successfully.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Added proper SIGTERM/SIGINT signal handlers to stdio-wrapper.ts
- Removed problematic trap commands from docker-entrypoint.sh
- Added STOPSIGNAL directive to Dockerfile for explicit signal handling
- Implemented graceful shutdown in MCP server with database cleanup
- Added stdin close detection for proper cleanup when Claude Desktop closes the pipe
- Containers now properly exit with the --rm flag, preventing accumulation
- Added --init flag to all Docker configuration examples
- Updated documentation with container lifecycle management best practices
- Bumped version to 2.7.20
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Added support for n8n-nodes-langchain.* → nodes-langchain.* normalization
- Implemented case-insensitive node name matching (e.g., chattrigger → chatTrigger)
- Added smart camelCase detection for common patterns (trigger, request, sheets, etc.)
- Fixed get_node_documentation tool to use same normalization logic as other tools
- Updated all 7 node lookup locations to use normalized types for alternatives
- Enhanced getNodeTypeAlternatives() to normalize all generated alternatives
All MCP tools now consistently handle various format variations:
- nodes-langchain.chatTrigger (correct format)
- n8n-nodes-langchain.chatTrigger (package format)
- n8n-nodes-langchain.chattrigger (package + wrong case)
- nodes-langchain.chattrigger (wrong case only)
- @n8n/n8n-nodes-langchain.chatTrigger (full npm format)
Bump version to 2.7.19
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Added workflowNodeType field to all node-returning MCP tools
- AI agents now receive both internal format (nodes-base.webhook) and workflow format (n8n-nodes-base.webhook)
- Created getWorkflowNodeType() utility to construct proper n8n format from package name
- Solves issue where AI agents would search nodes and use wrong format in workflows
- No database changes required - uses existing package_name field
- Updated: search_nodes, get_node_info, get_node_essentials, get_node_as_tool_info, validate_node_operation
- Updated CHANGELOG.md with comprehensive documentation of the changes
This completes the fix for issue #71, ensuring AI agents can seamlessly create workflows
with the correct node type format without manual intervention.
- Add centralized normalizeNodeType utility to handle prefix conversion
- n8n-nodes-base.* → nodes-base.*
- @n8n/n8n-nodes-langchain.* → nodes-langchain.*
- Update all 9 affected MCP tools to use normalized node types
- AI agents can now use node types directly from n8n workflow exports
- Maintains backward compatibility with existing shortened prefixes
- Add comprehensive test coverage for all affected methods
Fixes#71🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Remove examples from get_node_essentials responses
- Remove examples from validate_node_operation when errors occur
- Update documentation to reflect removal of examples
- Keep helpful format hints in get_node_for_task (different purpose)
The auto-generated examples were misleading AI agents with incorrect
configurations (e.g., Slack "channel" vs "select" property). Tools
now focus on validation and error messages instead of examples.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Reduced average description length from 250-450 to 93-129 chars
- Documentation tools now average 129 chars per description
- Management tools average just 93 chars per description
- Moved detailed documentation to tools_documentation() system
- Only 2 tools exceed 200 chars (necessarily verbose)
Also includes search_nodes improvements:
- Fixed primary node ranking (webhook, HTTP Request now appear first)
- Fixed FUZZY mode threshold for better typo tolerance
- Removed unnecessary searchInfo messages
- Fixed HTTP node type case sensitivity issue
This significantly improves AI agent performance by reducing context usage
while preserving all essential information.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Fixed issue where Docker images using sql.js adapter returned boolean fields
as strings, causing is_trigger=0 to evaluate as true instead of false.
Changes:
- Added convertIntegerColumns() to sql.js adapter to convert SQLite integers
- Updated server.ts and node-repository.ts to use Number() conversion as backup
- Added test script to verify fix works with sql.js adapter
This fixes webhook, cron, interval, and emailReadImap nodes showing
isTrigger: false in Docker deployments.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Renamed start_here_workflow_guide to tools_documentation for clarity
- Added depth parameter to control documentation detail (essentials/full)
- Converted output from JSON to LLM-friendly plain text format
- Added per-tool documentation capability
- Created two-tier documentation system:
- Essentials: brief info with key parameters and tips
- Full: comprehensive docs with examples and best practices
- Documented 8 commonly used MCP tools
- Removed 380+ lines of unused getWorkflowGuide method
- Fixed duplicate tool definitions
- Updated all documentation references
- Added test script for tools documentation
BREAKING CHANGE: start_here_workflow_guide renamed to tools_documentation
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Implement dynamic n8n API configuration checking
- Remove static config export in favor of lazy getter function
- Fix management tools not being registered when env vars set after startup
- Optimize logger performance with cached environment variables
- Clean up debug logging and remove console.error usage
- Bump version to 2.7.1
This ensures all 38 tools (22 documentation + 16 management) are properly
registered regardless of when environment variables become available.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Commented out console.log statements that were interfering with JSON-RPC communication
- Fixed Claude Desktop errors for list_nodes and list_ai_tools
- All stdout in MCP servers must be valid JSON messages
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Renamed files to remove unnecessary suffixes:
- tools-update.ts → tools.ts
- server-update.ts → server.ts
- http-server-fixed.ts → http-server.ts
- Created version utility to read from package.json as single source of truth
- Updated all imports across 21+ files
- Removed legacy files:
- src/http-server.ts (legacy HTTP server with known issues)
- src/utils/n8n-client.ts (unused legacy API client)
- Added n8n_diagnostic tool to help troubleshoot management tools visibility
- Added script to sync package.runtime.json version
- Fixed version mismatch issue (was hardcoded 2.4.1, now reads 2.7.0 from package.json)
This addresses GitHub issue #5 regarding version mismatch and provides better diagnostics for users.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Removed unused legacy files:
- server.ts (legacy server with workflow management)
- tools.ts (legacy tool definitions)
- prompts.ts (unused prompt definitions)
- resources.ts (unused resource definitions)
- server-optimized.ts (unused alternative implementation)
- Updated tools-update.ts with improved MCP tool descriptions:
- Clear, action-oriented descriptions following MCP best practices
- Better parameter documentation with examples
- Emphasized documentation-only nature of the server
- Added technical details (e.g., SQLite FTS5 for search)
The active implementation now only uses server-update.ts and tools-update.ts
🤖 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 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>
