Doramagic Project Pack · Human Manual

automotive-mcp

Related topics: Entrypoints and Runtime Surface, Architecture Evidence Map, Operations and Verification Boundaries

Repository Overview

Related topics: Entrypoints and Runtime Surface, Architecture Evidence Map, Operations and Verification Boundaries

Section Related Pages

Continue reading this section for the full explanation and source context.

Section Connect

Continue reading this section for the full explanation and source context.

Related topics: Entrypoints and Runtime Surface, Architecture Evidence Map, Operations and Verification Boundaries

Repository Overview

This page is generated from repository evidence because the Human Wiki provider was unavailable. It intentionally limits itself to README and file-tree facts.

README Evidence

Automotive Cybersecurity MCP Server

<!-- ANSVAR-CTA-BEGIN -->

### ▶ Try this MCP instantly via Ansvar Gateway
50 free queries/day · no card required · OAuth signup at ansvar.eu/gateway
One endpoint, one OAuth signup, access from any MCP-compatible client.

Connect

Claude Code (one line):

claude mcp add ansvar --transport http https://gateway.ansvar.eu/mcp

Claude Desktop / Cursor — add to claude_desktop_config.json (or mcp.json):

{
  "mcpServers": {
    "ansvar": {
      "type": "url",
      "url": "https://gateway.ansvar.eu/mcp"
    }
  }
}

Claude.ai — Settings → Connectors → Add custom connector → paste https://gateway.ansvar.eu/mcp

First request opens an OAuth flow at ansvar.eu/gateway. After signup, your client is bound to your account; tier (free / premium / team / company) determines fan-out, quota, and which downstream MCPs are reachable.

Source: https://github.com/Ansvar-Systems/Automotive-MCP / Human Manual

Entrypoints and Runtime Surface

Related topics: Repository Overview, Architecture Evidence Map, Operations and Verification Boundaries

Section Related Pages

Continue reading this section for the full explanation and source context.

Related topics: Repository Overview, Architecture Evidence Map, Operations and Verification Boundaries

Entrypoints and Runtime Surface

The files below are the highest-signal candidates for how the project is installed, started, configured, or embedded. Treat this as an evidence map, not an inferred API contract.

FileEvidence roleSize
Dockerfilerepository evidence941 bytes
README.mdREADME/product and usage evidence34915 bytes
package.jsonpackage/runtime metadata2382 bytes
api/health.tsimplementation surface1150 bytes
api/mcp.tsimplementation surface2518 bytes
src/http-server.tsimplementation surface7553 bytes
src/index.tsimplementation surface2122 bytes
src/tools/about.tsimplementation surface3326 bytes
src/tools/architecture.tsimplementation surface4427 bytes
src/tools/attacks.tsimplementation surface4377 bytes
src/tools/compliance-path.tsimplementation surface11561 bytes
src/tools/csms.tsimplementation surface5148 bytes

Source: Dockerfile:1-120

Source: https://github.com/Ansvar-Systems/Automotive-MCP / Human Manual

Architecture Evidence Map

Related topics: Repository Overview, Entrypoints and Runtime Surface, Operations and Verification Boundaries

Section Related Pages

Continue reading this section for the full explanation and source context.

Related topics: Repository Overview, Entrypoints and Runtime Surface, Operations and Verification Boundaries

Architecture Evidence Map

This section maps source paths into likely architectural areas based on repository layout only. Claims that require execution are intentionally not made here.

Source: README.md:1-120

Source: https://github.com/Ansvar-Systems/Automotive-MCP / Human Manual

Operations and Verification Boundaries

Related topics: Repository Overview, Entrypoints and Runtime Surface, Architecture Evidence Map

Section Related Pages

Continue reading this section for the full explanation and source context.

Related topics: Repository Overview, Entrypoints and Runtime Surface, Architecture Evidence Map

Operations and Verification Boundaries

Operational guidance is limited to files that are present in the repository. Before using this project in an agent workflow, verify install, quickstart, and runtime behavior in a sandbox.

Source: package.json:1-120

Source: https://github.com/Ansvar-Systems/Automotive-MCP / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

medium Project risk needs validation

The project should not be treated as fully validated until this signal is reviewed.

medium README/documentation is current enough for a first validation pass.

The project should not be treated as fully validated until this signal is reviewed.

medium Maintainer activity is unknown

Users cannot judge support quality until recent activity, releases, and issue response are checked.

medium no_demo

The project may affect permissions, credentials, data exposure, or host boundaries.

Doramagic Pitfall Log

Doramagic extracted 7 source-linked risk signals. Review them before installing or handing real data to the project.

1. Project risk: Project risk needs validation

  • Severity: medium
  • Finding: Project risk is backed by a source signal: Project risk needs validation. Treat it as a review item until the current version is checked.
  • User impact: The project should not be treated as fully validated until this signal is reviewed.
  • Recommended check: Open the linked source, confirm whether it still applies to the current version, and keep the first run isolated.
  • Evidence: identity.distribution | mcp_registry:io.github.Ansvar-Systems/automotive-cybersecurity:1.0.1 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.Ansvar-Systems%2Fautomotive-cybersecurity/versions/1.0.1 | repo=automotive-mcp; install=@ansvar/automotive-cybersecurity-mcp

2. Capability assumption: README/documentation is current enough for a first validation pass.

  • Severity: medium
  • Finding: README/documentation is current enough for a first validation pass.
  • User impact: The project should not be treated as fully validated until this signal is reviewed.
  • Recommended check: Open the linked source, confirm whether it still applies to the current version, and keep the first run isolated.
  • Evidence: capability.assumptions | mcp_registry:io.github.Ansvar-Systems/automotive-cybersecurity:1.0.1 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.Ansvar-Systems%2Fautomotive-cybersecurity/versions/1.0.1 | README/documentation is current enough for a first validation pass.

3. Maintenance risk: Maintainer activity is unknown

  • Severity: medium
  • Finding: Maintenance risk is backed by a source signal: Maintainer activity is unknown. Treat it as a review item until the current version is checked.
  • User impact: Users cannot judge support quality until recent activity, releases, and issue response are checked.
  • Recommended check: Open the linked source, confirm whether it still applies to the current version, and keep the first run isolated.
  • Evidence: evidence.maintainer_signals | mcp_registry:io.github.Ansvar-Systems/automotive-cybersecurity:1.0.1 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.Ansvar-Systems%2Fautomotive-cybersecurity/versions/1.0.1 | last_activity_observed missing

4. Security or permission risk: no_demo

  • Severity: medium
  • Finding: no_demo
  • User impact: The project may affect permissions, credentials, data exposure, or host boundaries.
  • Recommended check: Open the linked source, confirm whether it still applies to the current version, and keep the first run isolated.
  • Evidence: downstream_validation.risk_items | mcp_registry:io.github.Ansvar-Systems/automotive-cybersecurity:1.0.1 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.Ansvar-Systems%2Fautomotive-cybersecurity/versions/1.0.1 | no_demo; severity=medium

5. Security or permission risk: no_demo

  • Severity: medium
  • Finding: no_demo
  • User impact: The project may affect permissions, credentials, data exposure, or host boundaries.
  • Recommended check: Open the linked source, confirm whether it still applies to the current version, and keep the first run isolated.
  • Evidence: risks.scoring_risks | mcp_registry:io.github.Ansvar-Systems/automotive-cybersecurity:1.0.1 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.Ansvar-Systems%2Fautomotive-cybersecurity/versions/1.0.1 | no_demo; severity=medium

6. Maintenance risk: issue_or_pr_quality=unknown

  • Severity: low
  • Finding: issue_or_pr_quality=unknown。
  • User impact: Users cannot judge support quality until recent activity, releases, and issue response are checked.
  • Recommended check: Open the linked source, confirm whether it still applies to the current version, and keep the first run isolated.
  • Evidence: evidence.maintainer_signals | mcp_registry:io.github.Ansvar-Systems/automotive-cybersecurity:1.0.1 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.Ansvar-Systems%2Fautomotive-cybersecurity/versions/1.0.1 | issue_or_pr_quality=unknown

7. Maintenance risk: release_recency=unknown

  • Severity: low
  • Finding: release_recency=unknown。
  • User impact: Users cannot judge support quality until recent activity, releases, and issue response are checked.
  • Recommended check: Open the linked source, confirm whether it still applies to the current version, and keep the first run isolated.
  • Evidence: evidence.maintainer_signals | mcp_registry:io.github.Ansvar-Systems/automotive-cybersecurity:1.0.1 | https://registry.modelcontextprotocol.io/v0.1/servers/io.github.Ansvar-Systems%2Fautomotive-cybersecurity/versions/1.0.1 | release_recency=unknown

Source: Doramagic discovery, validation, and Project Pack records

Community Discussion Evidence

These external discussion links are review inputs, not standalone proof that the project is production-ready.

Sources 2

Count of project-level external discussion links exposed on this manual page.

Use Review before install

Open the linked issues or discussions before treating the pack as ready for your environment.

Community Discussion Evidence

Doramagic exposes project-level community discussion separately from official documentation. Review these links before using automotive-mcp with real data or production workflows.

Source: Project Pack community evidence and pitfall evidence