MCP Observatory
2m ago Tracked 56,302 Last 2m ago 24h 2,477
github Python analyzed 774d7bc

sandraschi/calibremcp

github

Calibre library automation via FastMCP — metadata, shelves, RAG-friendly export. Companion to Calibre, not a replacement. For Cursor / Claude Desktop.

maintainer
sandraschi
licence
MIT
first seen
2026-07-27
last seen
2026-09-06
releases · 30d
0
short id
risk 66/100 · heuristic grade
D high inferred analyzer v33 (current)
  • capability exposure inferred + 35
  • recent drift inferred + 20
  • tool safety inferred + 19
  • trust mitigators mixed − 8

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 5d ago · see ecosystem CVEs →

risk trajectory 1 movements
  • C · 51 → D · 66
capability exposure grade factor +35
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 6 findings · grade factor +19
  1. high dangerous code

    committed secret: committed .env · dynamic exec: eval()/exec(), __import__(), __import__ sink

  2. medium dangerous code

    env-secret-flows-to-network-py: An environment value reaches a network call. Review whether it is a credential leaving the process; the ordinary API-wrapper shape (read a key, call

  3. medium dangerous code

    env-secret-flows-to-network-py: An environment value reaches a network call. Review whether it is a credential leaving the process; the ordinary API-wrapper shape (read a key, call

  4. medium dangerous code

    env-secret-flows-to-network-py: An environment value reaches a network call. Review whether it is a credential leaving the process; the ordinary API-wrapper shape (read a key, call

  5. medium toxic flow (lethal trifecta)

    lethal trifecta reachable across this server's tools: private-data access + untrusted-content ingestion + network exfil

  6. low exfiltration combo

    sensitive read and network capabilities split across this server's tools

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

analyzed commit 774d7bc · analyzer v33 · 4d ago

skills & prompt files 43

danger signals5

other grade factors evidence elsewhere
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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 sandraschi.