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PostGIS_Yukon_MCP

使用 fastMCP 框架封装 Yukon地理空间数据库工具,通过 MCP (Model Context Protocol) 协议提供标准化的工具接口;基于Vanna AI的自然语言到SQL转换功能。

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What's in it

Data offered docs-verified
spatial query (nearby, bbox, attribute) · geometry operations (buffer, area, length, transform, simplify) · spatial analysis (distance, intersection, containment, union, centroid, join, nearest neighbour, clustering, convex hull, Voronoi) · PostGIS database management (version, extensions, table discovery, indexing, analyze, vacuum, geometry validation) · natural-language to SQL (nl_to_sql) and SQL execution (execute_sql)
Formats docs-verified
MCP (Model Context Protocol)
Access docs-verified
Open source (MIT licence); requires your own PostGIS database with connection settings configured before use.

Useful for

Use cases llm-inferred
Nearby asset and receptor queries from site coordinates (query_nearby, find_nearest) for constraints screening · Buffer and intersection tests on drainage or flood-risk layers (buffer_geometry, test_intersection, join_spatial) · Geometry QA on client GIS datasets before reporting (validate_geometries, table_info, spatial_extent) · Ad-hoc natural-language questions against a project PostGIS database (nl_to_sql)
Audience llm-inferred
GIS analysts · flood consultants · drainage engineers · hydrologists · planners

Limitations

Constraints llm-inferred
Tools only: no bundled datasets; you supply and maintain the PostGIS database · execute_sql requires user confirmation before running · Requires Python 3.8+ with psycopg2 and a PostGIS-enabled PostgreSQL database · Docs are in Chinese; no stated coverage, transport, rate limits, or maintenance status
Licence
Unknown — check provider terms
Authentication
Unknown — review source docs
GitHub stars
5
Last commit
19/11/2025
Last successful page check
14/10/2026
Page health
healthy
Package
Not recorded
Verification
Not independently verified

Auto-extracted, unverified fields: tools, install, auth. Check upstream documentation.

Provenance & evidence

Tools/install/auth auto-extracted from README; quality score heuristic (stars, recency, tool count, licence).

Metadata observed 15/10/2026 · research sweep: github-search