agentradar
# @agentradar/mcp
[](https://www.npmjs.com/package/@agentradar/mcp)
[](https://github.com/Bichev/agentradar-mcp/actions/workflows/build.yml)
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[](https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.Bichev/agentradar)
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.
- **Live API:** https://api.vvpro.ai
- **Web:** https://vvpro.ai
- **MCP Registry:** [`io.github.Bichev/agentradar`](https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.Bichev/agentradar)
This 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.
## Tools
| 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 |
## Installation
### Cursor
Add to your project's `.cursor/mcp.json`:
```json
{
"mcpServers": {
"agentradar": {
"command": "npx",
"args": ["-y", "@agentradar/mcp"],
"env": {
"AGENTRADAR_OPERATOR_KEY": "your-key-here"
}
}
}
}
```
### Claude Desktop
Add to `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\Claude\claude_desktop_config.json` (Windows):
```json
{
"mcpServers": {
"agentradar": {
"command": "npx",
"args": ["-y", "@agentradar/mcp"],
"env": {
"AGENTRADAR_OPERATOR_KEY": "your-key-here"
}
}
}
}
```
### npx (direct)
```bash
npx @agentradar/mcp
```
### Local development
```bash
git clone https://github.com/Bichev/agentradar-mcp.git
cd agentradar-mcp
npm install
npm run build
node dist/index.js
```
## Environment Variables
| 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 |
## Usage Examples
Once connected, you can ask your AI assistant:
- "Verify this agent: 0x742d35Cc6634C0532925a3b844Bc9e7595f2bD28"
- "Is 0xdead...beef a known scam wallet?"
- "Compare these two agents and tell me which is more trustworthy"
- "Explain why this agent scored 45/100"
- "Write an on-chain attestation for this verified agent"
## Pricing
- **verify_agent**: $0.005 per call (x402) or free with operator key
- **attest_agent**: $5.00 per attestation (x402) or free with operator key
- **get_score**: Free
- **Admin endpoints**: Operator key required
## License
MIT
TDQS
Scored across 18 tools
Each tool has a clearly distinct purpose. While get_score and verify_agent both return trust scores, the former is a fast cached version and the latter is a full 6-signal verification, making them differentiable. No two tools overlap significantly.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., add_scam_wallet, verify_agent, get_attestations). Verbs like 'get', 'lookup', 'list', 'check' are used consistently, making the naming predictable and intuitive.
With 18 tools, the server provides comprehensive coverage for AI agent trust verification and scam tracking without being excessive. Each tool addresses a specific need, and the count is well-scoped for the domain.
The tool surface covers the full lifecycle: adding/reporting scams, checking scams, verifying agents (cached and full), comparing, explaining scores, attestations (create, list, get by tx), identity and reputation lookups, URI resolution, badge generation, and API management (health, pricing, stats). No obvious gaps for the stated purpose.