github Python analyzed db4bc24

guptayush02/adaptora

github

Self-hosted Dynamic API Agent with an MCP layer — talk to any REST API in natural language. Bring-your-own-LLM (Ollama).

maintainer
guptayush02
licence
MIT
first seen
2026-06-22
last seen
2026-07-09
releases · 30d
0
short id
risk 21/100 · heuristic grade
B low inferred analyzer v33 (current)
  • capability exposure inferred + 12
  • tool safety inferred + 12
  • trust mitigators mixed − 3

inferred mixed

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.

grade last moved 3d ago · see ecosystem CVEs →

risk trajectory 6 movements
  • B · 23 B · 21
  • C · 35 B · 23
  • C · 43 C · 35
  • C · 35 C · 43
  • C · 38 C · 35
  • A · 12 C · 38
capability exposure grade factor +12
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 1 findings · grade factor +12
  1. high dangerous code

    committed secret: committed .env

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

analyzed commit db4bc24 · analyzer v33 · 1w ago

danger signals1

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live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:guptayush02/adaptora/badge.svg)](https://mcpobservatory.com/servers/github:guptayush02/adaptora/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 guptayush02.