github Python analyzed 2cfa561

jaymeklein/embedbase

github

Local-first document embedding and retrieval platform with a REST API and MCP server for LLM agents. Supports hybrid BM25 + semantic search across workspaces and collections, with pluggable parsers, embedders, and vector stores.

maintainer
jaymeklein
license
first seen
2026-06-04
last seen
2026-08-13
releases · 30d
0
short id
risk 14/100 · heuristic grade
A minimal inferred analyzer v33 (current)
  • capability exposure inferred + 14

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
  • A · 0 A · 14
capability exposure grade factor +14
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 2cfa561 · analyzer v33 · 3w ago

skills & prompt files 2

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