GDAL MCP

"""Metadata resource for vector datasets.""" from __future__ import annotations from typing import Any from src.app import mcp from src.shared import vector @mcp.resource("metadata://{file}/vector") def get_vector_metadata(file: str) -> dict[str, Any]: """Get vector spatial properties (read-only). Returns driver, CRS, bounds, geometry types, feature count, and field schema. Used by AI during planning to understand dataset properties and choose appropriate operations. """ return vector.info(file)