69
/ 100
1 month ago
glama

openair-3-mcp-oss

MCP server wrapping the openair R package for air quality data analysis, enabling time series loading, statistical summaries, and publication-ready plots like polar and calendar plots.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configRSCRIPT_PATHPath to Rscript (default Rscript)
configRSCRIPT_TIMEOUT_SECDefault R subprocess timeout
configOPENAIR_INGEST_MAX_BYTESload_series_from_upload Parse CSV or xlsx from base64 upload. Default limit 1 MB raw; override with on the server. Use export_local_series.py instead for larger files.
configOPENAIR_MCP_TRANSPORThttp or stdio when using python server.py
configOPENAIR_MCP_PORTHTTP port (default 8001)
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 5 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/miguel-escribano-openair-3-mcp-server-oss-1l1i31)](https://m8ven.ai/mcp/miguel-escribano-openair-3-mcp-server-oss-1l1i31)
commit: f925b2683e4cb22c5877f92c7a1a7dfb47874b42
code hash: f39ac0dbfb4f7d6c8700918141042633679c68046bc82c2817d317ee731a13cf
verified: 6/29/2026, 11:20:03 AM
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