Connect-MCP

TrustLayer

io.github.goatgaucho/trustlayer · v1.0.0

Agent reputation scoring: trust scores, Sybil detection, cross-chain identity for 133K+ agents

MCPremoteno credentialsCrypto

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 6 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 75/100

What it does: 6 tools · 6 read, 0 write · Crypto

Test call get_network_stats: failed — rpc error: Bad Request: Server not initialized (1,002 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: 0
  • Safe test call: 0
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://api.thetrustlayer.xyz/mcp

Tools

6 tools listed at last check
  • get_trust_report Full trust forensics for an AI agent: Sybil risk, reviewer quality, cross-chain identity, anomaly flags, risk level, and recommended max exposure. Covers every ERC-8004 registry chain plus Solana.
  • get_trust_score Basic trust score (0-100) for an AI agent with component breakdown.
  • get_reviewer_profile Quality score and review history for a wallet that has left ERC-8004 feedback. High-quality reviewers are rare — most score below 50.
  • get_owner_portfolio All agents owned by a wallet across all chains, with cross-chain group info and risk assessment.
  • get_score_history Full score time-series for an agent: daily snapshots, 7d/30d trajectory, volatility over reputation lifetime.
  • get_network_stats Live network stats: total agents, chain breakdown, Sybil flags, reviewers scored, cross-chain groups.

Badge

Connect-MCP badge for io.github.goatgaucho/trustlayer

Markdown for your README
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Repository