mcp · United States

zyra

Modular workflows for reproducible science

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Data offered docs-verified: scientific and environmental data import (connectors/acquire) · data processing (transform) · visualization (render) · export (disseminate)
Coverage llm-inferred: United States
Formats docs-verified: GRIB2 · NetCDF
Access docs-verified: Free and open source under Apache-2.0. LLM-backed features (Wizard, narrate, swarm) need OpenAI or Gemini credentials (GOOGLE_API_KEY or Vertex), or run locally via Ollama or mock.

Use cases llm-inferred: Reproducible GRIB2-to-NetCDF convert-and-plot chain for gridded rainfall or model outputs feeding flood or drainage appendices · Scripted batch processing of client environmental datasets with provenance logging for audit trails · Repeatable figure generation (heatmaps, maps) for environmental monitoring reports
Audience llm-inferred: hydrologists · GIS analysts · environmental data scientists · drainage engineers

Constraints llm-inferred: Guardrails extra supports Python 3.10–3.14 only · Swarm guardrail validation needs an optional extra installed · LLM-backed features need provider credentials or a local Ollama server · Not a UK-specific data source; no UK datasets named in docs · Registry metadata lists no MCP tools (tools: []), so the tool surface is unverified

Licence: Apache-2.0
Authentication: API key via env: GOOGLE_API_KEY, OPENAI_API_KEY (auto-extracted from README)
GitHub stars: 6
Last commit: 29/09/2026
Last successful page check: 14/10/2026
Page health: healthy
Package: pypi:zyra
Verification: Not independently verified

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

Daily discovery 2026-10-15: GitHub search; verified via GitHub API. Tools/install/auth auto-extracted from README.

Metadata observed 14/10/2026 · daily-2026-10-15 (github-search)