github Python analyzed · update queued 59d3a93

AceDataCloud/FishMCP

github

Fish Audio MCP server — text-to-speech with Fish Audio voice models. Powered by AceDataCloud.

maintainer
AceDataCloud
license
MIT
first seen
2026-07-02
last seen
2026-08-01
releases · 30d
8
short id
risk 0/100 · heuristic grade
A minimal
  • trust mitigators mixed − 11

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.

graded 41s ago · see ecosystem CVEs →

vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety all quiet

No tool-safety findings — heuristic detectors run on the compute-risk cadence; a finding appears when a tool trips a rule.

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

analyzed commit 59d3a93 · analyzer v27 · 1w ago

skills & prompt files 2

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