Sol MCP — Solana Token Risk & Signals
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Alternatives to Sol MCP — Solana Token Risk & Signals
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Related Servers
- AlicenseNot gradedqualityDmaintenanceSolana on-chain intelligence API — token scans, wallet PnL, bundle detection, fresh wallets, dev profiling. MCP server for Claude, Cursor & AI agents. Live PumpFun/Raydium streams1MIT
- AlicenseAqualityAmaintenanceOn-chain Solana token safety for trading agents — traces coordinated wallet funding, same-block Jito bundles, serial-rug deployers and live coordinated dumps into one Exit-Liquidity Risk verdict before a swap. Free tier, then $0.02 USDC/query via x402.131 npm2MIT
- AlicenseAqualityAmaintenanceTrace hidden insider wallet clusters behind Solana tokens before you ape — safety score, honeypot & LP-lock check, no signup for first 5 calls/day.3MIT
- AlicenseAqualityAmaintenanceSolana memecoin rug check and token risk for trading agents in the trenches: pump.fun launches, calibrated rug probability with a published hit rate, sniper, insider and bundle detection, holder clusters, KOL trades, wallet history and a live sellability check for memecoins. Available as a remote MCP endpoint (OAuth or API key) and as an npm stdio package.2635 npm3MIT
- AlicenseNot gradedqualityBmaintenanceRead-only token intelligence for Robinhood Chain and Solana, providing safety checks, ticker resolution, deployer records, whale wallet tracking, and outcome measurements via a hosted MCP server.MIT

pnllabs-mcpofficial
AlicenseNot gradedqualityCmaintenanceGives AI trading agents machine-readable trust and risk verdicts on Solana by checking whether a wallet's realized PnL makes it worth copying, where its funds came from, whether a token is structurally safe, and what a given trade size would really cost in slippage. Exposes these four checks as MCP tools callable against a hosted x402 pay-per-call API, so agents can hard-stop bad trades without RPC keys, signup, or local setup.1MIT
TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose: batch_token_risk handles multiple tokens, get_full_analysis combines risk and momentum, get_graduation_signals provides vetted decisions, get_momentum_signal focuses on momentum alone, get_token_risk assesses individual risk, and get_trading_performance evaluates trading stats. There is no overlap or ambiguity in their functions.
All tool names follow a consistent verb_noun pattern with 'get_' or 'batch_' prefixes, using snake_case throughout (e.g., get_token_risk, batch_token_risk). This uniformity makes the set predictable and easy to understand.
With 6 tools, the count is well-scoped for the server's purpose of Solana token risk and signals analysis. Each tool serves a specific role in risk assessment, momentum analysis, signal vetting, and performance tracking, with no redundancy or missing essential functions.
The tool set comprehensively covers the domain: it includes individual and batch risk analysis, momentum signals, combined verdicts, vetted graduation signals, and trading performance metrics. This provides full lifecycle coverage from token evaluation to trade outcomes, with no obvious gaps.