Commit Graph

5 Commits

Author SHA1 Message Date
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