Draugr

Security scanning for AI agents: SAST, SCA, secrets, IaC, DAST, ranked by real risk.

What does this entry provide?

Draugr is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 56/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. No automated install command is listed; check the repository for manual setup instructions. Review the last-pushed date and repository status before adding Draugr to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 56/100
Install method: manual
Repo: draugr-dev/draugr
Repo updated: Oct 26, 2026

Install command

See source docs

Install method: manual

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Oct 26, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-10-26T03:00:28.969012Z",
      "publishedAt": "2026-10-26T03:00:28.969012Z",
      "statusChangedAt": "2026-10-26T03:00:28.969012Z"
    }
  },
  "server": {
    "name": "dev.draugr/draugr",
    "icons": [
      {
        "src": "https://draugr.dev/brand/draugr-mark.png",
        "sizes": [
          "512x512"
        ],
        "mimeType": "image/png"
      }
    ],
    "title": "Draugr",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "0.155.1",
    "packages": [
      {
        "version": "0.155.1",
        "transport": {
          "type": "stdio"
        },
        "fileSha256": "2383a682d6e936037bbbfed79f6a05fcd7754b4767ac515ad59603ce1a6d9197",
        "identifier": "https://github.com/draugr-dev/draugr/releases/download/v0.155.1/draugr-0.155.1.mcpb",
        "registryType": "mcpb"
      }
    ],
    "repository": {
      "url": "https://github.com/draugr-dev/draugr",
      "source": "github"
    },
    "websiteUrl": "https://draugr.dev",
    "description": "Security scanning for AI agents: SAST, SCA, secrets, IaC, DAST, ranked by real risk."
  }
}

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