medusa
MEDUSA is an open-source (Python) AI-first security scanner/CLI that detects vulnerabilities and insecure patterns in traditional code as well as AI/ML and agent/LLM application artifacts (including prompt-injection style rules, RAG pipeline risks, MCP server configurations, and repo poisoning via editor/agent configuration files). It also supports scanning local directories and (optionally) cloning/scanning GitHub repos via a --git flag, producing reports in multiple formats (JSON/HTML/Markdown/SARIF).
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Runs locally as a CLI; no server-side auth model is described. For network/remote scanning, TLS requirements and secret-safety behaviors are not documented in the provided content. Dependencies include common libraries (requests/urllib3/defusedxml/psutil/pyyaml); using defusedxml is a positive signal against XML-related attacks, but overall dependency CVE status and secret-handling/logging behavior are not verifiable from the provided text.
⚡ Reliability
Best When
You need automated, repeatable static analysis of both code and AI/agent-related artifacts before deployment, especially in CI pipelines for ML/LLM projects and repos with MCP/tooling configurations.
Avoid When
You require guarantees equivalent to dynamic testing, or you cannot tolerate false positives/heuristics inherent to static pattern scanning without review and tuning.
Use Cases
- • Scanning repositories for AI supply-chain attacks (e.g., poisoned editor/agent configs) using CLI
- • Pre-commit/CI security checks for LLM/agent projects (prompt injection, tool poisoning, MCP config risks, RAG issues)
- • Detecting known CVEs mapped to AI/agent ecosystems (e.g., Log4Shell and related categories) via pattern rules
- • Generating CI-friendly machine-readable SARIF/JSON reports for security workflows
- • Baseline SAST for many languages using built-in analyzer integrations and optional external linters
Not For
- • Runtime vulnerability validation (it is primarily static/pattern-based scanning of code/configs)
- • Being used as the sole authority for incident response or exploitation attempts without corroborating evidence
- • Use as a hosted SaaS (based on provided data, it is distributed as a local CLI tool)
Interface
Authentication
No authentication mechanism is described because MEDUSA is presented as a local CLI scanner. A --git option implies Git clone access to public repositories; no token/auth flow details are provided in the supplied README/manifest.
Pricing
No hosted pricing is described; distribution appears as an installable Python package.
Agent Metadata
Known Gotchas
- ⚠ Static scanning can produce false positives; agents should review outputs and possibly tune configuration via .medusa.yml.
- ⚠ Remote repo scanning via --git may depend on network access/clone permissions; agents may need to handle transient network failures.
- ⚠ Optional external linters are environment-dependent; results may vary based on installed tooling.
Alternatives
Full Evaluation Report
Comprehensive deep-dive: security analysis, reliability audit, agent experience review, cost modeling, competitive positioning, and improvement roadmap for medusa.
AI-powered analysis · PDF + markdown · Delivered within 30 minutes
Package Brief
Quick verdict, integration guide, cost projections, gotchas with workarounds, and alternatives comparison.
Delivered within 10 minutes
Score Monitoring
Get alerted when this package's AF, security, or reliability scores change significantly. Stay ahead of regressions.
Continuous monitoring
Scores are editorial opinions as of 2026-03-30.