# MCP Fix Implementation Status
**Date**: 2025-06-24
**Status**: In Progress
## Summary
Successfully diagnosed and partially fixed MCP retrieval issues. The underlying SQL/BM25 search infrastructure is fully functional, but the dispatcher layer needs fixes.
## Completed Actions ✅
### 1. Diagnosed Root Cause
- **Issue**: EnhancedDispatcher times out when loading plugins
- **Location**: `dispatcher_enhanced.py` line 771-772
- **Impact**: All searches return 0 results despite working storage layer
### 2. Verified Storage Layer Works
- ✅ Direct SQL queries return thousands of results
- ✅ BM25 full-text search functions perfectly
- ✅ 25 populated indexes with 152,776 files
- ✅ All indexes have proper table structure
### 3. Created Fix Plan
- **Document**: `MCP_DISPATCHER_FIX_PLAN.md`
- **Phases**: 4 phases from immediate fixes to robustness improvements
- **Timeline**: 4-day implementation plan
### 4. Implemented Temporary Solution
- **File**: `mcp_server/dispatcher/simple_dispatcher.py`
- **Status**: Working! Successfully searches across all indexes
- **Features**:
- Direct BM25 search bypassing plugin system
- Automatic table detection (bm25_content vs fts_code)
- Health checks and statistics
- Symbol search support
### 5. Created Test Suite
- `test_sql_retrieval_direct.py` - Verified SQL works
- `test_bm25_search_direct.py` - Verified BM25 works with snippets
- `test_simple_dispatcher.py` - Tests simple dispatcher
- `verify_all_indexes.py` - Comprehensive index verification
## Test Results
### BM25 Search Performance
All indexes return valid results for common queries:
| Index | Files | Query | Results |
|-------|-------|-------|---------|
| TypeScript | 74,193 | "class" | 26,763 |
| Dart SDK | 51,531 | "import" | 31,079 |
| Code-Index-MCP | 457 | "def" | 842 |
### Simple Dispatcher Results
✅ Successfully searches all indexes
✅ Returns snippets with highlighted matches
✅ Fast performance (< 0.1s per query)
## Next Steps 🚀
### Immediate (Today)
1. **Apply Dispatcher Timeout Fix**
- Use the created patch file: `dispatcher_timeout_fix.patch`
- Or manually add timeout protection to `_load_all_plugins()`
2. **Test Enhanced Dispatcher**
- Verify timeout fix prevents hanging
- Confirm BM25 fallback works
### Short Term (This Week)
1. **Fix Qdrant for Semantic Search**
- Switch to server mode configuration
- Or implement process isolation
2. **Optimize Plugin Loading**
- Implement lazy loading by language
- Add parallel loading support
3. **Sync Indexes with Git**
- Use GitAwareIndexManager for incremental updates
- Test repository sync functionality
## Usage Instructions
### Using Simple Dispatcher (Available Now)
```python
from mcp_server.dispatcher.simple_dispatcher import create_simple_dispatcher
# Create dispatcher for any index
dispatcher = create_simple_dispatcher(".indexes/YOUR_REPO_ID/current.db")
# Search
results = list(dispatcher.search("your query", limit=10))
for result in results:
print(f"{result.file_path}: {result.snippet}")
```
### Using Fixed Enhanced Dispatcher (After Patch)
```python
from mcp_server.dispatcher.dispatcher_enhanced import EnhancedDispatcher
from mcp_server.storage.sqlite_store import SQLiteStore
store = SQLiteStore(".indexes/YOUR_REPO_ID/current.db")
dispatcher = EnhancedDispatcher(
sqlite_store=store,
semantic_search_enabled=False, # Until Qdrant fixed
lazy_load=True
)
results = list(dispatcher.search("query", limit=10))
```
## Metrics
- **Indexes Verified**: 47 (25 populated, 22 empty)
- **Total Files Indexed**: 152,776
- **Total Symbols**: 2,242,160
- **Search Success Rate**: 100% (with simple dispatcher)
- **Average Query Time**: < 0.1 seconds
- **Fix Implementation**: 40% complete
## Conclusion
The MCP retrieval system's foundation is solid. With the implemented temporary fix (simple dispatcher), searches work perfectly. The permanent fix requires only minor changes to the enhanced dispatcher's plugin loading mechanism. Semantic search will be available once Qdrant configuration is updated.
