PnL Labs — Solana Trust & Risk Checks
io.github.PnLlabs/pnllabs · v1.0.0
Trust checks for Solana trading: realized-PnL wallet trust, token safety, trade cost, forensics.
MCPremoteno credentialsCrypto
Reported outcomes
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Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 4 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
B 88/100
What it does: 4 tools · 4 read, 0 write · Crypto, Finance
No tool could be tested safely. Only read-only tools that need no input are called.
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: +5
- Safe test call: +8
- 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.pnllabs.com/mcpTools
4 tools listed at last check
check_wallet_trustRecomputes the realized SOL profit and loss of a Solana wallet from its on-chain transaction history and returns a trust verdict. Returns: verdict (TRUSTED, NEUTRAL, UNTRUSTED, INSUFFICIENT, UNVERIFIABLE, UNKNOWN), a confidence level, realized profit/loss in SOL, the number of coins analyzed, stablecheck_wallet_forensicsTraces where a Solana wallet's funding came from and how old it is, using on-chain transfer history. Returns: origin classification (CEX_FUNDED, WALLET_FUNDED, UNKNOWN_ORIGIN, UNVERIFIABLE_ORIGIN, UNKNOWN), the funding transaction, wallet age, and a fresh_wallet flag.check_trade_costEstimates what a trade of a given size would cost in a Solana token's main liquidity pool. Returns: expected slippage in percent, an estimated round-trip cost calibrated against measured live execution overhead, a recommended maximum size in SOL, pool liquidity, and a verdict (ACCEPTABLE_COST, ELEVAcheck_token_safetyAnalyzes structural risk of a Solana token from on-chain data: real-holder concentration with bonding-curve and liquidity-pool accounts excluded, presence of known sniper-bot addresses among early buyers, and a simulated buy/sell round trip to detect honeypot behavior. Returns: verdict (LOW_RISK, EL
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