# io.github.Bichev/agentradar (npm · @agentradar/mcp)

Trust scoring, scam detection, and EAS attestations for ERC-8004 + x402 agents on Base.

- Trust score: 65/100 (medium)
- Change this week: +23
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- npm · `@agentradar/mcp`: 65/100 (this document), [markdown](https://verifymcp.io/servers/bichev-agentradar/agentradar-mcp.md), [page](https://verifymcp.io/servers/bichev-agentradar/agentradar-mcp)

## Channel facts

- Registry: `npm`
- Package: `@agentradar/mcp`
- Version: `0.1.3`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Supply Chain Security**: 87/100
  - No malware found by supply-chain analysis.
  - Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.
  - No install/post-install scripts declared.
  - Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 79 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 70/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 964 tokens (~53/item across 18 items; 18 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 67/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add bichev-agentradar -- npx -y @agentradar/mcp
```

### Codex

```bash
codex mcp add bichev-agentradar -- npx -y @agentradar/mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "bichev-agentradar": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@agentradar/mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add bichev-agentradar --command npx --arg -y --arg @agentradar/mcp
```

### Hermes

```yaml
mcp_servers:
  bichev-agentradar:
    command: "npx"
    args: ["-y", "@agentradar/mcp"]
```

### Other

```json
{
  "mcpServers": {
    "bichev-agentradar": {
      "command": "npx",
      "args": [
        "-y",
        "@agentradar/mcp"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-03 (score 65, +4)

- [functional improvement] Stability: unverified → 0.27

### 2026-08-02 (score 61, +22)

- [security regression] Install scripts: pass → unverified
- [security regression] Provenance: fail → unverified
- [security improvement] Known CVEs: unverified → partial
- [security improvement] Malware scan: unverified → pass
- [security] Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet.
- [functional regression] License: pass → unverified
- [functional regression] Capabilities: pass → unverified
- [functional regression] Maintenance: pass → unverified
- [functional regression] Tool coverage: 100 → unverified
- [functional improvement] Dependency health: unverified → partial
- [functional] First check of Schema quality: unverified
- [functional] Licence: MIT

### 2026-08-01 (score 39, −10)

- [security regression] Known CVEs: partial → unverified
- [functional regression] Dependency health: partial → unverified

### 2026-07-31 (score 49, +15)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 34, −39)

- [security regression] Known CVEs: partial → unverified
- [security regression] Install scripts: pass → unverified
- [security regression] Provenance: fail → unverified
- [security regression] Malware scan: pass → unverified
- [functional regression] Maintenance: pass → unverified
- [functional regression] Dependency health: partial → unverified
- [functional regression] License: pass → unverified
- [functional] Licence: MIT

### 2026-07-29 (score 73, +10)

- [functional improvement] Schema quality: unverified → good

### 2026-07-28 (score 63, +21)

- [security regression] Provenance: unverified → fail
- [security improvement] Known CVEs: unverified → partial
- [security improvement] Install scripts: unverified → pass
- [functional improvement] Maintenance: unverified → pass
- [functional improvement] Dependency health: unverified → partial
- [functional improvement] License: unverified → pass
- [functional] Licence: MIT

### 2026-07-27 (score 42)

First indexed and scored.

## MCP tools (18)

### `verify_agent` (~65 tokens)

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.

Input parameters:

- `address` (string, required)

### `compare_agents` (~49 tokens)

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

Input parameters:

- `address1` (string, required)
- `address2` (string, required)

### `batch_verify` (~45 tokens)

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.

Input parameters:

- `addresses` (array, required)

### `get_score` (~48 tokens)

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.

Input parameters:

- `address` (string, required)

### `get_badge_url` (~59 tokens)

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.

Input parameters:

- `address` (string, required)
- `style` (string)

### `attest_agent` (~61 tokens)

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.

Input parameters:

- `address` (string, required)

### `get_attestations` (~55 tokens)

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

Input parameters:

- `limit` (integer)
- `page` (integer)

### `get_attestation_by_tx` (~49 tokens)

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

Input parameters:

- `txHash` (string, required)

### `lookup_identity` (~51 tokens)

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.

Input parameters:

- `address` (string, required)

### `lookup_reputation` (~53 tokens)

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.

Input parameters:

- `address` (string, required)

### `resolve_agent_uri` (~42 tokens)

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

Input parameters:

- `address` (string, required)

### `check_scam` (~54 tokens)

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.

Input parameters:

- `address` (string, required)

### `add_scam_wallet` (~75 tokens)

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

Input parameters:

- `address` (string, required)
- `chain` (string, required)
- `notes` (string)
- `severity` (string, required)
- `source` (string, required)

### `explain_score` (~53 tokens)

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.

Input parameters:

- `address` (string, required)

### `get_health` (~39 tokens)

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.

### `get_stats` (~35 tokens)

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

### `list_signals` (~34 tokens)

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

### `get_pricing` (~32 tokens)

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

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/bichev-agentradar/agentradar-mcp#diagnostics

## Score history

- 2026-08-03: 65
- 2026-08-02: 61
- 2026-08-01: 39
- 2026-07-31: 49
- 2026-07-30: 34
- 2026-07-29: 73
- 2026-07-28: 63
- 2026-07-27: 42

## Links

- npm package: https://www.npmjs.com/package/@agentradar/mcp
- Socket report: https://socket.dev/npm/package/@agentradar/mcp
- Repository: https://github.com/Bichev/agentradar-mcp
- Changelog RSS feed: https://verifymcp.io/servers/bichev-agentradar/agentradar-mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/bichev-agentradar/agentradar-mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/bichev-agentradar/agentradar-mcp