Zarq Mcp Server — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Zarq Mcp Server (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.
Independent crypto risk intelligence via the Model Context Protocol (MCP). Trust Score ratings, Distance-to-Default analysis, structural collapse warnings, and pre-trade safety checks for 198 tokens.
No installation needed — connect directly:
{
"mcpServers": {
"zarq-crypto": {
"url": "https://mcp.zarq.ai/mcp"
}
}
}pip install mcp httpx
python zarq_mcp_server.py| Tool | Description |
|---|---|
crypto_safety_check | Quick pre-trade safety validation (<100ms) |
crypto_rating | Full Trust Score with 5-pillar breakdown (A+ to F) |
crypto_dtd | Distance-to-Default with 7 distress signals |
crypto_signals | Active Structural Collapse/Stress signals |
crypto_compare | Head-to-head token risk comparison |
crypto_distress_watch | All tokens with DtD < 2.0 |
crypto_alerts | Structural collapse/stress warnings |
crypto_ratings_bulk | Bulk ratings for multiple tokens |
Client (Claude, Cursor, etc.)
↓ MCP Protocol
ZARQ MCP Server
↓ HTTPS
zarq.ai API (free, no key required)Free API at zarq.ai. No API key required during Early Access.
crypto risk defi safety trust-score crash-prediction distance-to-default ratings blockchain token-analysis
MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.