openclaw-trust-scorer
Queries Solana mainnet-beta RPC to analyze wallet trust signals including transaction count, last activity, and SOL balance, returning trust scores and tiers for wallet addresses.
OpenClaw Trust Scorer — MCP Server
MCP server for Solana agent trust scoring.
Query any Solana wallet address to get a trust profile based on real on-chain data: transaction count, last activity, and SOL balance.
What it does
The get_trust_score tool queries the Solana mainnet-beta RPC and returns:
{
"wallet_address": "9WzDXwBbmkg8ZTbNMqUxvQRAyrZzDsGYdLVL9zYtAWWM",
"trust_score": 0.784,
"tier": "verified",
"signals": {
"transaction_count": 847,
"last_activity": "2026-04-11T14:22:31Z",
"balance_sol": 6.19,
"account_exists": true
},
"related_agents": [...]
}Tiers: unknown → emerging → established → verified
Related MCP server: AgentScore
Tools
Tool | Description |
| Trust score + signals for a Solana wallet address |
| Anonymized list of recently scored wallets |
Usage
With Claude Desktop (remote endpoint)
Add to claude_desktop_config.json:
{
"mcpServers": {
"openclaw-trust-scorer": {
"command": "npx",
"args": ["-y", "openclaw-trust-scorer"]
}
}
}With Cursor / Zed / Continue
Add the remote MCP endpoint: http://178.104.131.84:8082/mcp
Direct HTTP (REST-compatible)
# Health check
curl http://178.104.131.84:8082/health
# MCP protocol (initialize)
curl -X POST http://178.104.131.84:8082/mcp \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}'
# A2A agent card
curl http://178.104.131.84:8082/.well-known/agent.jsonLocal Development
npm install
node server.js --stdio # stdio mode (for Claude Desktop local)
node server.js --http # HTTP mode (default, port 3000)Why trust scoring?
In the emerging agent economy, LLM-based buyers need to evaluate service providers before delegating tasks or making payments. On-chain activity is a verifiable, tamper-resistant signal of an agent's track record. This service makes that signal accessible via standard MCP protocol.
Data sources
Solana mainnet-beta RPC: transaction history, account balance
Scoring formula:
trust_score = 0.5 × activity + 0.35 × recency + 0.15 × balancePrivacy: no personal data, only public on-chain records
Related
A2A endpoint:
http://178.104.131.84:8082/.well-known/agent.json(A2A protocol)OpenClaw Research: Agent trust & verification experiments
This server cannot be deployed
Maintenance
Related MCP Connectors
Trust stack for AI agents: identity, attest, verify, rate, recommend, discover — on Solana.
Trust infrastructure for AI agents. Portable reputation (JTS 0-5), agent discovery, vouching.
Trust infrastructure for AI agents: read a verifiable Trust Rating, claim an identity, earn a badge.
Solana address risk grades and token scans for AI agents. Pay-per-call via x402 (USDC on Base).
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