auto-agent-protocol: The open automotive contract for MCP, A2A and Personal Agent Protocol

by auto-agent-protocol · MCP Server · ★ 110

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

a2aagent2agentagentic-aiaiautomotivecontractdealership-apimcpmodel-context-protocolpersonal-agent-protocol

Quick Facts

Stars110
Forks2
LanguageTypeScript
CategoryMCP Server
Quality Score71/100
Open Issues3
Last Updated2026-11-06
Created2026-04-30
Platformsmcp, node
Est. Tokens~16k

About auto-agent-protocol

Auto Agent Protocol (AAP) Brand assets: symbol, wordmark, and usage guidance. AAP lets AI assistants shop at your car or motorcycle dealership. New to the protocol? Read the AAP FAQ for its purpose, supported capabilities, assistant compatibility, and how to get started. More and more car and motorcycle buyers start their search by asking an AI assistant.

Compatible Skills

These tools work well together with auto-agent-protocol for enhanced workflows:

  • synadia-agents — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)
  • NovaPersonalAgent — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)
  • NovaAudioAgent — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)

auto-agent-protocol alternative? Top 6 similar tools

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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