The MCP now includes detailed outlier filtering information in the response,
allowing LLMs and bots to inform users about data quality improvements.
Changes to nadlan_mcp/fastmcp_server.py:
- Updated get_valuation_comparables to include outlier filtering metadata
- deal_breakdown now includes when filtering is applied:
- total_deals: Count after filtering (final result)
- total_deals_before_filtering: Original count before filtering
- outliers_removed: Number of deals filtered out
- filtering_method: Method used ("iqr", "percent", or "none")
- iqr_multiplier: IQR multiplier when using IQR method (e.g., 1.5)
- Updated docstring to clarify that outlier filtering is automatic
and metadata is included in response
Changes to tests/e2e/test_mcp_tools_comprehensive.py:
- Added assertions to verify outlier filtering metadata fields
- Test now validates the structure and types of filtering information
Example response:
{
"market_statistics": {
"deal_breakdown": {
"total_deals": 15,
"total_deals_before_filtering": 17,
"outliers_removed": 2,
"filtering_method": "iqr",
"iqr_multiplier": 1.5
}
}
}
This allows bots like nadlan-bot to properly inform users:
"Found 17 comparable deals, filtered 2 outliers using IQR method (k=1.5),
showing 15 deals."
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Remove requirements.txt and requirements-dev.txt (duplicates pyproject.toml)
- Update Dockerfile to use 'pip install .' instead of requirements.txt
- Update README.md and GitHub workflows to use 'pip install -e .[dev]'
- Fix test_get_valuation_comparables: check for 'deal_date' instead of non-existent 'asset_room_num'
(rooms field is optional and excluded when None due to exclude_none=True)
- Fix fastmcp version constraint in pyproject.toml (>=2.13.0,<3.0.0)
- Add vcrpy to dev dependencies
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Nitzan Pomerantz