MCP Observatory
github re-analysis due

DalgoT4D/dalgo-mcp

github

MCP server for the Dalgo data platform — lets AI assistants work with data warehouses, pipelines, dbt transformations, dashboards, charts and reports via natural language

maintainer
DalgoT4D
license
MIT
first seen
2026-06-12
last seen
2026-06-14
releases · 30d
2
short id
risk 27/100 · heuristic grade
B low
  • capability exposureinferred+28
  • tool safetyinferred+2
  • trust mitigatorsmixed−3

inferredmixed

The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.

graded 7m ago · see ecosystem CVEs →

risk trajectory 1 movements
  • B · 25 → B · 27
capability exposure grade factor +28
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 1 findings · grade factor +2
  1. lowexfiltration combodalgo_get_table_data

    single tool reads + sends: net, db

skills & danger signals github-tarball
prompt-surface shipped agent-instruction files + hidden-content / dangerous-code findings — quoted from the analyzed source

analyzed commit f698abb · analyzer v17 · 3d ago

skills & prompt files 8

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:DalgoT4D/dalgo-mcp/badge.svg)](https://mcpobservatory.com/servers/github:DalgoT4D/dalgo-mcp/security)

Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of DalgoT4D.