agentradar

Name: agentradar
Author: Bichev

by Bichev

Overview Schema Source Related Servers Discussions Admin

TypeScript

Remote

@agentradar/mcp

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

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

Related MCP server: djd-agent-score-mcp

Installation

Cursor

Add to your project's .cursor/mcp.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):

{
  "mcpServers": {
    "agentradar": {
      "command": "npx",
      "args": ["-y", "@agentradar/mcp"],
      "env": {
        "AGENTRADAR_OPERATOR_KEY": "your-key-here"
      }
    }
  }
}

npx (direct)

npx @agentradar/mcp

Local development

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

Available Tools

18 tools

add_scam_walletB

Report a malicious wallet address to the AgentRadar scam database. Requires operator key. Include chain, severity level, source of intel, and optional notes.

Inputs: address (required), chain (required), severity (required), source (required), +1 more.

attest_agentA

Score an AI agent and write an on-chain EAS attestation recording the trust score permanently. Costs $5 via x402 or requires an operator key. Use when you need a verifiable, immutable trust record for an agent.

Inputs: address (required).

batch_verifyA

Verify multiple AI agent addresses in a single call (max 10). Returns trust scores for each address. Efficient for evaluating a list of candidate agents.

Inputs: addresses (required).

check_scamA

Check if a wallet address is in the AgentRadar scam database. Returns matching scam records with severity, chain, source, and notes. Use this as a quick safety check before any transaction.

Inputs: address (required).

compare_agentsB

Compare two AI agents side-by-side on trust scores and security signals. Useful for choosing between competing agents that offer similar capabilities.

Inputs: address1 (required), address2 (required).

explain_scoreA

Get a human-readable explanation of an agent's trust score. Returns a narrative breakdown of each signal's contribution, risk factors, and actionable recommendations. Best for presenting trust analysis to end users.

Inputs: address (required).

get_attestation_by_txA

Look up a specific attestation by its transaction hash. Returns the full attestation record including the scored address, trust score, and on-chain details.

Inputs: txHash (required).

get_attestationsA

List all on-chain trust attestations written by AgentRadar. Returns paginated attestation records including addresses, scores, and transaction hashes. Requires operator key.

Inputs: page, limit.

get_badge_urlA

Generate a trust badge URL for an AI agent. Returns an embeddable SVG badge showing the agent's trust score. Useful for displaying trust status in UIs or documentation.

Inputs: address (required), style.

get_healthA

Check AgentRadar API health and connectivity status. Returns service status, uptime, and version info. Use to verify the API is reachable before making other calls.

Inputs: no named parameters.

get_pricingA

Get AgentRadar API pricing information. Shows costs for each endpoint including x402 micropayment amounts and free tier details.

Inputs: no named parameters.

get_scoreA

Get a cached trust score for an AI agent address. Faster than full verification — returns the last computed score without re-running signals. Free endpoint, no payment required.

Inputs: address (required).

get_statsA

Get AgentRadar dashboard statistics — total verifications, attestations written, scam wallets tracked, and API usage metrics. Requires operator key.

Inputs: no named parameters.

list_signalsA

List all trust scoring signals used by AgentRadar with their weights and descriptions. Helps understand how the composite trust score is calculated.

Inputs: no named parameters.

lookup_identityB

Look up an AI agent's on-chain identity (ERC-8004 registration, ENS name, contract metadata). Returns who the agent claims to be and whether those claims are verified.

Inputs: address (required).

lookup_reputationC

Look up an AI agent's on-chain reputation — ERC-8004 feedback history, attestation count, and community signals. Shows how established and trusted the agent is in the ecosystem.

Inputs: address (required).

resolve_agent_uriA

Resolve an agent address to its registered URI, metadata, and service endpoints. Useful for discovering how to interact with a verified agent.

Inputs: address (required).

verify_agentB

Run a full 6-signal trust verification on an AI agent or wallet address. Returns composite trust score (0-100), individual signal scores, risk flags, and recommendations. Use this before transacting with or delegating to an unknown agent.

Inputs: address (required).

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

Deploy Server

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.8/5.0

Scored 2026-05-25 18:15 across 18 tools

Disambiguation5/5

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.

Naming Consistency5/5

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.

Tool Count5/5

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.

Completeness5/5

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.

Maintenance

ActivityInactive

ResponsivenessLimited data

Resources

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Appeared in Searches

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@agentradar/mcp

Tools

Installation

Cursor

Claude Desktop

npx (direct)

Local development

Environment Variables

Usage Examples

Pricing

License

Available Tools

Tool Schema Changelog

TDQS

Maintenance

Resources

Related MCP Connectors

Related MCP Servers

revettr

djd-agent-score-mcp

agentshield-mcp

Crest Counterparty

Appeared in Searches