AI Developer Tools

deptrust

A CLI tool that checks package versions for known vulnerabilities across npm, PyPI, and many other ecosystems, designed for AI agents to avoid using outdated packages.

What is deptrust?

deptrust is a CLI tool that checks package versions for known vulnerabilities across multiple package ecosystems. It runs locally as a CLI and as an MCP server, calling public registries and OSV APIs directly without a hosted service.

deptrust vs Similar AI Tools

Pricing ModelFreeFreeFreeFree
Free Credits
Key Features
  • Checks packages across 15+ ecosystems including npm, PyPI, Cargo, Go, RubyGems, NuGet, Maven, and more
  • Reports known vulnerabilities with severity, recommendation, and risk score
  • Suggests safe versions by checking provider-reported fixes and version history
  • Seven breakable boxes covering OWASP Agentic Top-10 vulnerabilities
  • Three guided simulations for cascading failures, human-agent trust, and rogue agents
  • Network-isolated Docker containers for safe execution
  • Code-to-runtime reasoning across cloud, Git, and Kubernetes
  • Action-gate enforces read-only policy on every API call
  • Sandboxed JavaScript execution for concurrent research
  • Append-only, SHA-256-addressed event history through Jaybase
  • AES-256-GCM encryption for stored node payloads
  • Unified RBAC for ledger, notes, snapshots, and audit reads
Pros
  • Supports a wide range of package ecosystems
  • Runs locally with fast parallel queries to public APIs
  • Covers full OWASP Agentic Top-10 in a realistic manner
  • Docker isolation prevents accidental damage
  • Read-only by construction prevents accidental writes
  • Evidence-backed verification cross-checks every finding
  • Opinionated and secure accounting CLI with immutable audit trail
  • Designed for AI agent integration with JSON output
Cons
  • Only checks known vulnerabilities, does not perform code analysis
  • Requires MCP setup for AI agent integration, which may be complex
  • Requires Docker and technical setup
  • Not for production use; only for lab environments
  • Requires an LLM API key, incurring token costs
  • Limited to read-only operations, cannot remediate
  • Pre-1.0, limited feature set
  • No native QuickBooks import (agents must normalize data)
Best For
  • AI developers building agentic workflows
  • Developers who want to prevent vulnerable dependency picks
  • Security researchers focusing on AI agent vulnerabilities
  • Developers building MCP-based applications
  • Security engineers
  • DevOps teams
  • Small teams needing secure, auditable accounting with AI agent support
  • Developers integrating automated bookkeeping workflows

How to use deptrust?

  1. 1Install with npx @clidey/deptrust install. Run checks like 'deptrust check npm lodash 4.17.20' or 'deptrust check pypi requests latest'. For AI agent integration, configure MCP with 'deptrust mcp'. Use JSON output with '--json' flag.

deptrust Key Features

  • Checks packages across 15+ ecosystems including npm, PyPI, Cargo, Go, RubyGems, NuGet, Maven, and more
  • Reports known vulnerabilities with severity, recommendation, and risk score
  • Suggests safe versions by checking provider-reported fixes and version history
  • Compares two versions to show risk improvement
  • Integrates as MCP server for AI agents (Codex, Claude Code)
  • Runs entirely locally with no external service dependency
  • Outputs JSON with advisory coverage details

deptrust Use Cases

  • AI agents checking package versions before recommending updates
  • Developers auditing project dependencies for vulnerabilities
  • CI/CD pipelines enforcing package version policies
  • Security teams reviewing dependency risk scores

deptrust Pricing & Free Credits

deptrust currently operates on a Free model.

This tool is completely free to use

Free

$0

Open source and free to use under MIT license.

deptrust Pros & Cons

Pros

  • Supports a wide range of package ecosystems
  • Runs locally with fast parallel queries to public APIs
  • Integrates seamlessly with AI agents via MCP protocol
  • Provides clear recommendations (allow/block/review) and risk scores
  • Open source and no need for account or API keys

Cons

  • Only checks known vulnerabilities, does not perform code analysis
  • Requires MCP setup for AI agent integration, which may be complex
  • Depends on OSV and GitHub Advisory Database coverage per ecosystem
  • Some ecosystems have partial advisory coverage (e.g., CocoaPods, Hackage)

What is deptrust best for?

  • AI developers building agentic workflows
  • Developers who want to prevent vulnerable dependency picks
  • DevSecOps teams needing a lightweight vulnerability checker
  • Anyone using package managers in automated environments

deptrust FAQ

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