Agent Skills

agent-bom

Open security scanner and self-hosted control plane for AI, MCP, and cloud. One evidence model — run scans in your environment, centralize findings, govern in your VPC.

Install

uvx agent-bom
  • NVD_API_KEYoptional · secret — NVD API key for higher rate limits on vulnerability enrichment
README.md

agent-bom — Discover. Scan. Correlate. Act. Security evidence across repositories, software supply chains, AI and MCP, cloud, identity, and data.

Build PyPI Python 3.11 through 3.14 Docker pulls Apache-2.0 license OpenSSF Scorecard Glama MCP server Smithery MCP server

Open security scanner and self-hosted control plane for AI, MCP, and cloud infrastructure.

Self-host · Deployment models · Quick start · Product tour · Docs

Recorded agent connections linking a role, agents, MCP servers, tool, credential reference, package and finding

agent-bom finds the AI agents, MCP servers, packages and credentials in a repository, workstation or cloud account, matches packages against vulnerability advisories, and connects findings to recorded agent, tool and credential relationships. Run it as a CLI, in CI, as an MCP server for your assistant, or as a self-hosted dashboard. A recorded relationship is evidence to investigate; it does not prove execution or data access. The map above uses labeled sample data. Light view · Dark view.

Start where you work: scan a repository, run the shared dashboard, or connect your assistant. Apache-2.0; the control plane runs in your own environment.

Self-host in your environment

Your infrastructure, your identity, your database, your audit boundary. From a published release checkout:

git clone --depth 1 --branch v0.107.0 https://github.com/msaad00/agent-bom.git && cd agent-bom
AGENT_BOM_IMAGE_TAG=0.107.0 docker compose up -d

Open http://localhost:3000, then Connections or New Scan. For cloud accounts, add a scoped read-only connection, verify access, then start a scan. The pilot binds to loopback and retains state in a Docker volume. Use the authenticated deployment guide for a shared instance.

Deployment models

Docker pilot · Authenticated deployment · Compose with PostgreSQL · Helm · EKS Terraform · Snowflake Native App preview · Air-gapped bundle · Choose a deployment · Enterprise configuration · Connect cloud accounts

Work with your existing tools

Use CLI or GitHub Action, REST API, or MCP; export SARIF, CycloneDX, SPDX, JSON and HTML. Cloud connectors and fleet sync collect inventory; proxy and gateway deployments add runtime evidence.

Integration capability matrix · MCP client setup · Proxy, gateway and fleet · Smithery setup and manifest

Quick start

Scan a repository and keep the evidence:

pip install agent-bom
agent-bom scan . -f json -o scan.json

Open scan.json for findings and assessment coverage. For pull requests, use agent-bom scan . -f sarif -o findings.sarif and upload the artifact in CI.

For sample inventory and an exact graph link, run agent-bom quickstart --run --offline. It skips package-CVE lookup; use the bundled demo for advisory-backed examples. Follow the first-run handoff.

No project handy? Scan the bundled sample estate offline

agent-bom scan --demo --offline lists sample agents, CVEs with recorded agent, MCP server and credential associations, and policy findings (excerpt from current source; installed-release output may differ):

  Security posture:   CRIT  7   HIGH  10   MED   6 · all finding categories
  5 agents · 10 servers · 23 packages
DISCOVER | Agents
  Agent                Type              Servers    Pkgs    Creds    Vulns
  langchain-service    custom                  2       4        4        4
  claude-desktop       claude-desktop          2       6        3        5
ANALYZE | Critical Details
  CVE-2023-36258 · langchain@0.0.150 · CRITICAL
  Fix: upgrade to ≥ 0.0.247
  Blast: langchain-service → llm-orchestrator-server → ANTHROPIC_API_KEY, OPENAI_API_KEY
ANALYZE | Graph & Policy Findings (8 occurrences)
   CRIT  COMBINATION AI agent can reach a credential or privileged tool: langchain-service
   HIGH  PROMPT_SECURITY Agent calls MCP server without verified identity
   MED   PROMPT_SECURITY Long-lived static credential on MCP server

The sample deliberately triggers a security gate (exit 1). Save CI evidence with agent-bom scan . -f sarif -o findings.sarif; check setup with agent-bom doctor. First-run guide · GitHub Action

Recorded agent-bom CLI showing sample findings and remediation guidance

Give assistants the same evidence: agent-bom mcp server (MCP support is included by default). Source version: v0.107.1 · Latest release: v0.107.0. Start with eight focused tools, then select a graph, cloud, runtime or audit profile. The full catalog has 88 MCP tools, 7 resources, and 8 workflow prompts. MCP workflows

Developer gates and offline scans

Use uvx agent-bom scan . without a global install, or uvx agent-bom check requests@2.33.0 --ecosystem pypi before adding a package. For automatic dependency and secret gates, see pre-commit and CI setup.

agent-bom db update --osv-ecosystem PyPI covers only the selected ecosystem; add the ecosystems you need before running agent-bom scan . --offline. The full agent-bom db update --source osv archive can exceed 1 GB; the command shows live progress. A non-zero exit can mean a security gate or incomplete assessment: inspect the report and coverage. Exit codes

Built for the teams that build, secure and govern AI

Your team What you can do
Developers & AI engineers Inspect repositories, dependencies and MCP configuration; bring findings into CI and coding assistants.
AppSec & cloud security Connect cloud accounts, trace findings through workloads and identities, and prioritize fixes by reachable impact.
Platform & DevOps Run a shared control plane, collect fleet evidence, and apply policy to MCP traffic through the proxy or gateway.
GRC & audit Open Compliance to review mappings and export scan evidence with its source, freshness and assessment gaps.
Security & engineering leaders Open Overview to review posture, remediation priorities and tracked AI spend across connected sources.
AI assistants & automation Use MCP workflows to query evidence and inspect findings within the caller’s permissions.

Product tour

Security, engineering and GRC: prioritize risk and assessment gaps

Start with Posture, inspect evidence in Top risks, and scope inventory in Assets & coverage. Compliance separates evaluated-control pass rate from assessment coverage. OWASP and MITRE ATLAS risk mappings describe applicability, not control pass/fail. The offline synthetic enterprise estate includes evaluated checks; results do not establish certification or an audit opinion.

Overview of posture, findings and assessment gaps with evaluated-control counts and framework logos in a labeled sample environment

Explore Top risks, scoped Inventory, recorded scan history, framework controls and evidence, and the per-agent BOM preview.

AppSec and cloud teams: explain why a finding matters

Follow CVE-2023-4863 in pillow@9.0.0 through recorded relationships between the service, container, tool, workload identity and modeled data asset. Inspect the source receipts and carry the selected finding into remediation. A recorded path does not by itself prove exploitation or successful data access.

Reference lab path linking a Pillow advisory, workload identity and modeled data asset

Explore graph navigation, permissions and evidence

Choose a scope in Summary, then Inspect an entity. Filter by type or severity, set direction and hop limits, and expand bounded pages; incomplete views are labeled. In Context, use Focus here, Back, or an exact identifier. Select a node or arrow to inspect its evidence, freshness and unknowns. Investigate reach & permissions opens permission receipts, CVE prerequisites and related activity; missing exploitability stays not assessed. Investigation workflow.

Connect data locations to security evidence. Explore recorded stores and datasets alongside identities and findings. Distinguish storage, access evidence and collection sources; derived classifications do not prove contents or successful reads. Data and evidence model.

Engineers and GRC: prioritize findings and verify fixes

Review findings by priority, affected asset and evidence. Open remediation for package upgrades and mapped controls, assign owners, set SLAs and re-scan to verify fixes.

Actual Findings screen with labeled sample findings, priority, affected assets, detection evidence and remediation actions

See package remediation and verification

Actual remediation screen with sample package upgrades, affected controls and campaign verification workflow

These are application captures, not mockups. Overview, Findings and remediation use labeled sample data. The graph uses the reproducible reference lab: real parsers, a pinned advisory scan and authenticated gateway calls, with modeled infrastructure. A blocked call does not establish that the underlying package was fixed.

Discover and scan · Runtime policy and agent workflows · Run the reference evidence lab · Evidence workflow · Control-plane architecture

Trust and evidence

Discovery uses read-only access by default. Explicit disk side-scans create temporary cloud resources; runtime enforcement acts on selected tool calls. Missing evidence stays unavailable or partial. Control mappings are not audit certification.

Product boundaries · Permissions · Threat model · Security policy · Release verification · Measured matcher proof

Contributing and support

Contributing · Support · Open issues · Apache-2.0 license

Search skills and MCP servers

Fuzzy search across 23,137 skills and servers