mcp · Global

GeoAgent

用于GIS分析的大语言模型智能体，集成了检索增强生成和MCP工具。A LLM agent for GIS analysis, integrated with RAG and MCP tools.

Feature or claim this listing

Represent GeoAgent? Send a claim for review so we can discuss listing updates. Claims do not automatically grant ownership or verification.

Data offered docs-verified: RAG-based geographic information Q&A · vector database management (create, add files, delete, query) · document upload, download and delete (CSV, JSON, TXT) · multi-turn chat with session memory · MCP tool integration
Formats docs-verified: CSV · JSON · TXT
Access docs-verified: Self-hosted local install (Python 3.9+, pip install -r requirements.txt, python run.py); requires an OpenAI API key or OpenAI-compatible key (OPENAI_API_KEY); licence not stated

Use cases llm-inferred: Q&A over project reports and CSV/JSON datasets loaded into a vector database · Searchable internal knowledge base of guidance notes and method statements · Drafting GIS analysis method steps with retrieval-grounded answers
Audience llm-inferred: GIS analysts · environmental consultants · flood consultants

Constraints llm-inferred: Document-grounded Q&A tool, not a geospatial data source; no datasets, coverage or resolution are documented · Depends on external model APIs; example model config uses qwen-turbo, deepseek-v3 and text-embedding-v3 · No licence stated in ENTRY or DOCS · MCP tool integration is listed but no tool names or transport are documented · Docs are partial and mainly in Chinese; no versioning or maintenance status given

Licence: Unknown — check provider terms
Authentication: API key via env: OPENAI_API_KEY (auto-extracted from README)
GitHub stars: 7
Last commit: 25/08/2025
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.

Geospatial deep dive (Glama/Smithery/GitHub). Tools/install/auth auto-extracted from README.

Metadata observed 16/10/2026 · research sweep: geo-deep-dive (geo-deep-dive:github-search-geo)