Agentradar Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Agentradar Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
MCP Server for AgentRadar — the on-chain trust oracle for the agent economy. Provides 18 tools for verifying, scoring, and attesting AI agent trustworthiness directly from Claude, Cursor, or any MCP-compatible client.
io.github.Bichev/agentradarThis package is a thin client wrapper around the public AgentRadar API. The full source is auditable here — anything npx @agentradar/mcp runs is in this repo, MIT-licensed.
| Tool | Description |
|---|---|
verify_agent | Full 6-signal trust verification |
compare_agents | Side-by-side comparison of two agents |
batch_verify | Verify up to 10 agents at once |
get_score | Quick cached trust score lookup |
get_badge_url | Generate embeddable trust badge URL |
attest_agent | Score + write on-chain EAS attestation |
get_attestations | List all attestations |
get_attestation_by_tx | Look up attestation by tx hash |
lookup_identity | On-chain identity (ERC-8004) |
lookup_reputation | Reputation signals |
resolve_agent_uri | Resolve agent URI/metadata |
check_scam | Check scam database |
add_scam_wallet | Report malicious wallet |
explain_score | Human-readable score explanation |
get_health | API health check |
get_stats | Dashboard statistics |
list_signals | List scoring signals + weights |
get_pricing | API pricing info |
Add to your project's .cursor/mcp.json:
{
"mcpServers": {
"agentradar": {
"command": "npx",
"args": ["-y", "@agentradar/mcp"],
"env": {
"AGENTRADAR_OPERATOR_KEY": "your-key-here"
}
}
}
}Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"agentradar": {
"command": "npx",
"args": ["-y", "@agentradar/mcp"],
"env": {
"AGENTRADAR_OPERATOR_KEY": "your-key-here"
}
}
}
}npx @agentradar/mcpgit clone https://github.com/Bichev/agentradar-mcp.git
cd agentradar-mcp
npm install
npm run build
node dist/index.js| Variable | Required | Default | Description |
|---|---|---|---|
AGENTRADAR_API_URL | No | https://api.vvpro.ai | API base URL |
AGENTRADAR_OPERATOR_KEY | No | — | Operator key for admin endpoints and bypassing x402 payment |
Once connected, you can ask your AI assistant:
MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.