Commit Graph

8 Commits

Author SHA1 Message Date
czlonkowski
997cc93a0a feat(p0-r3): implement pre-extracted template configurations system
Major Features:
- Pre-extracted 197 node configurations from 2,646 workflow templates
- Removed get_node_for_task tool (28% failure rate, 31 tasks)
- Enhanced search_nodes and get_node_essentials with includeExamples parameter
- 30-60x faster queries (<1ms vs 30-60ms)

Database Schema:
- New table: template_node_configs with optimized indexes
- New view: ranked_node_configs for top 5 configs per node
- Migration script: add-template-node-configs.sql

Template Processing:
- extractNodeConfigs: Extract configs from workflow templates
- detectExpressions: Identify n8n expressions ({{...}}, $json, $node)
- insertAndRankConfigs: Rank by popularity, keep top 10 per node

Tool Enhancements:
- search_nodes: Added includeExamples parameter (top 2 configs)
- get_node_essentials: Added includeExamples parameter (top 3 configs)

CLI Features:
- --extract-only: Extract configs without fetching new templates
- Automatic table creation if missing

Breaking Changes:
- Removed get_node_for_task tool
- Use search_nodes({includeExamples: true}) or get_node_essentials({includeExamples: true}) instead

Performance:
- Query time: <1ms for pre-extracted configs
- 85x more examples (2,646 vs 31)
- Database size increase: ~197 configs stored

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-02 20:24:09 +02:00
czlonkowski
6e24da722b feat: Add structured template metadata generation with OpenAI
- Implement OpenAI batch API integration for metadata generation
- Add metadata columns to database schema (metadata_json, metadata_generated_at)
- Create MetadataGenerator service with structured output schemas
- Create BatchProcessor for handling OpenAI batch jobs
- Add --generate-metadata flag to fetch-templates script
- Update template repository with metadata management methods
- Add OpenAI configuration to environment variables
- Include comprehensive tests for metadata generation
- Use gpt-4o-mini model with 50% cost savings via batch API

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-14 20:00:39 +02:00
czlonkowski
f35097ed46 feat: implement template compression and view count filtering
- Add gzip compression for workflow JSONs (89% size reduction)
- Filter templates with ≤10 views to remove low-quality content
- Reduce template count from 4,505 to 2,596 high-quality templates
- Compress template data from ~75MB to 12.10MB
- Total database reduced from 117MB to 48MB
- Add on-the-fly decompression for template retrieval
- Update schema to support compressed workflow storage

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-14 14:49:45 +02:00
czlonkowski
f508d9873b fix: resolve SplitInBatches output confusion for AI assistants (#97)
## 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>
2025-08-07 15:58:40 +02:00
czlonkowski
e8f6b684f0 fix: make FTS5 optional for template search (fixes Claude Desktop compatibility)
- Added runtime FTS5 detection in database adapters
- Removed FTS5 from required schema to prevent "no such module" errors
- FTS5 tables/triggers created conditionally only if supported
- Template search automatically falls back to LIKE when FTS5 unavailable
- Works in ALL SQLite environments (Claude Desktop, restricted envs, etc.)

This ensures search_templates() works correctly regardless of SQLite build,
while still providing optimal performance when FTS5 is available.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-07-10 12:13:08 +02:00
czlonkowski
f038f72049 fix: remove non-deterministic CHECK constraint from templates table
- SQLite doesn't allow datetime('now') in CHECK constraints
- Drop tables before recreating to ensure clean schema
- 6-month filtering is already handled in application logic
- Successfully fetched and stored 199 templates

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
2025-06-20 00:08:28 +02:00
czlonkowski
08f9d1ad30 feat: add n8n workflow templates as MCP tools
- Add 4 new MCP tools for workflow templates
- Integrate with n8n.io API to fetch community templates
- Filter templates to last 6 months only
- Store templates in SQLite with full workflow JSON
- Manual fetch system (not part of regular rebuild)
- Support search by nodes, keywords, and task categories
- Add fetch:templates and test:templates npm scripts
- Update to v2.4.1

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
2025-06-20 00:02:09 +02:00
czlonkowski
8bf670c31e feat: Implement n8n-MCP Enhancement Plan v2.1 Final
- Implement simple node loader supporting n8n-nodes-base and langchain packages
- Create parser handling declarative, programmatic, and versioned nodes
- Build documentation mapper with 89% coverage (405/457 nodes)
- Setup SQLite database with minimal schema
- Create rebuild script for one-command database updates
- Implement validation script for critical nodes
- Update MCP server with documentation-focused tools
- Add npm scripts for streamlined workflow

Successfully loads 457/458 nodes with accurate documentation mapping.
Versioned node detection working (46 nodes detected).
3/4 critical nodes pass validation tests.

Known limitations:
- Slack operations extraction incomplete for some versioned nodes
- One langchain node fails due to missing dependency
- No AI tools detected (none have usableAsTool flag)

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-06-12 14:18:19 +02:00