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msaad00/agent-bom

by Various

AI supply-chain security scanner and self-hosted control plane for agents, MCP, SBOM/SARIF, graph findings, runtime enforcement, and compliance evidence.

M

MCP

msaad00/agent-bom

Added 1 June 2026

#ai-agents #ai-security #ai-supply-chain #aibom #blast-radius #cloud-security #compliance #container-security

Overview

Agent-bom is a self-hosted security scanner and control plane for AI agent supply chains. It generates SBOM and SARIF reports, maps findings in a graph, enforces runtime policies, and collects compliance evidence for MCP-based agent systems.

Best for

Best for
Developers building or auditing MCP-based AI agents who need a self-hosted supply chain security and compliance tool.

Use cases

  • Scan AI agent dependencies for known vulnerabilities
  • Enforce runtime security policies on MCP agent interactions
  • Generate compliance evidence for agent supply chain audits

Notes

Agent-bom is a self-hosted security scanner and control plane for AI agent supply chains. It generates SBOM and SARIF reports, maps findings in a graph, enforces runtime policies, and collects compliance evidence for MCP-based agent systems.

20 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Use cases

  • Scan AI agent dependencies for known vulnerabilities
  • Enforce runtime security policies on MCP agent interactions
  • Generate compliance evidence for agent supply chain audits

Pros

  • Self-hosted control plane gives full data ownership
  • Combines SBOM, SARIF, and graph analysis in one tool
  • Supports runtime enforcement, not just static scanning

Cons

  • Small community with only 20 GitHub stars
  • Limited documentation and real-world usage examples
  • Requires Python environment and self-hosting setup

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Self-hosted control plane gives full data ownership
  • Combines SBOM, SARIF, and graph analysis in one tool
  • Supports runtime enforcement, not just static scanning

Cons

  • Small community with only 20 GitHub stars
  • Limited documentation and real-world usage examples
  • Requires Python environment and self-hosting setup

Pairs with

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