MCP Observatory
4m ago Tracked 54,096 Last 4m ago 24h 2,438
github Python analyzed 38d92ab

call518/MCP-Ambari-API

github

🚀 Natural-language Hadoop cluster management via MCP. Connect LLM agents (Claude, GPT, etc.) directly to Apache Ambari REST API — control services, inspect configs, query metrics, and manage alerts with AI. Built with FastMCP & aiohttp.

maintainer
call518
license
MIT
first seen
2026-07-04
last seen
2026-07-09
releases · 30d
0
short id
risk 24/100 · heuristic grade
B low inferred analyzer v33 (current)
  • capability exposure inferred + 24

inferred

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 10h ago · see ecosystem CVEs →

risk trajectory 1 movements
  • B · 21 → B · 24
capability exposure grade factor +24
Inferred surface — each links to servers holding it:
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 38d92ab · analyzer v33 · 1w ago

skills & prompt files 2

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:call518/MCP-Ambari-API/badge.svg)](https://mcpobservatory.com/servers/github:call518/MCP-Ambari-API/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 call518.