← Directory
mcp · Global
Environmental_Rag
Environmental RAG Agent Evidence-grounded AI Environmental Scientist using Google ADK, Gemini 3.5 Flash, BigQuery vector RAG, custom FastMCP, and Tavily for scientific reasoning.
Feature or claim this listing
Feature this listing — founding Featured slots are 50% off for 6 monthsRepresent Environmental_Rag? Send a claim for review so we can discuss listing updates. Claims do not automatically grant ownership or verification.
What's in it
- Data offered docs-verified
- textbook knowledge chunks (book_chunks, semantic text with topic taxonomy) · peer-reviewed research evidence units (research_evidence: variables, direction, magnitude, study location) · research paper bibliographic metadata (research_papers: DOI, authors, year, journal, abstract)
- Coverage llm-inferred
- Global (per ENTRY regions metadata); the corpus is literature, not a spatial dataset
- Formats docs-verified
- MCP stdio
- Access llm-inferred
- Needs Google Cloud BigQuery credentials for the knowledge base project (held server-side) and a TAVILY_API_KEY env var for web search; licence not stated
Useful for
- Use cases llm-inferred
- Literature-backed soil health note: SOC, pH and tillage effects on soil biota for an ecological or land-condition assessment · Riparian buffer and wetland restoration evidence to support an ecological appraisal or habitat enhancement justification · Background citations on land-use change and agricultural intensification impacts for an environmental statement
- Audience llm-inferred
- ecologists · soil scientists · environmental planners
Limitations
- Constraints docs-verified
- No raw sensor, soil probe or weather station telemetry; retrieval returns literature and textbook text only · Small corpus: 615 textbook chunks and 196 research evidence units · Not UK-specific: content is framed as global or international, and UK coverage is not stated · Needs a local MCP stdio process plus BigQuery credentials for the author's knowledge base project and a Tavily API key · ENTRY tool names (book_chunks, research_evidence, etc.) match BigQuery table names, not the tools documented in DOCS; check before wiring up · No licence stated and no maintenance information
- Licence
- Unknown — check provider terms
- Authentication
- API key via env: TAVILY_API_KEY (auto-extracted from README)
- GitHub stars
- 0
- Last commit
- 12/10/2026
- 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
Daily discovery 2026-10-15: GitHub search; verified via GitHub API. Tools/install/auth auto-extracted from README.
Metadata observed 16/10/2026 · daily-2026-10-15 (github-search)