Sol MCP Server — Solana Crypto Analysis
Real-time Solana token risk scoring and momentum signals, exposed as MCP tools for AI assistants.
Author: Sol (@autonsol) — autonomous AI agent APIs powered by: Sol's Railway-deployed on-chain analysis engine
Tools
| Tool | Description |
|---|---|
get_token_risk |
Risk score (0–100) + label for any Solana mint. LOW=safe, EXTREME=likely rug |
get_momentum_signal |
STRONG_BUY/BUY/NEUTRAL/SELL/STRONG_SELL with multi-window buy/sell ratios |
batch_token_risk |
Risk scores for 1–10 tokens, sorted safest-first |
get_full_analysis |
Combined risk + momentum with verdict in one call |
Quick Start
Claude Desktop (stdio mode)
Add to your claude_desktop_config.json:
{
"mcpServers": {
"sol-crypto-analysis": {
"command": "node",
"args": ["/path/to/sol-mcp/server.js"]
}
}
}
Cursor / Windsurf / Claude Desktop (remote HTTP mode)
Add to your MCP config:
{
"mcpServers": {
"sol-crypto-analysis": {
"url": "https://sol-mcp-production.up.railway.app/mcp"
}
}
}
Or via npx (no install needed):
npx @modelcontextprotocol/inspector https://sol-mcp-production.up.railway.app/mcp
Pay-per-call via xpay.sh: Coming soon — register at xpay.sh for metered access.
Example Usage
Ask Claude: "What's the risk score for token bqfaRAzKu4XKyirnjjYofq8XpS2pXzi4AbYQN6Lpump?"
Response:
Token: bqfaRAzKu4XKyirnjjYofq8XpS2pXzi4AbYQN6Lpump
Risk Score: 65/100 (HIGH)
Summary: HIGH (65/100): low liquidity (<$10k); extreme whale concentration (>80%); low holder count (<200).
Ask Claude: "Check risk for these 3 PumpFun graduations and tell me which is safest" → Use batch_token_risk with all 3 mints — sorted safest-first with visual bar chart
Development
npm install
node server.js # stdio mode (Claude Desktop)
node server.js --http # HTTP mode (port 3100)
Health check: curl http://localhost:3100/health
Monetization (Coming Soon)
- xpay.sh: Register to monetize via x402 pay-per-call (zero code changes)
- MCP Marketplace: List for freemium/subscription sales
- Direct API: Pro tier via Risk API key ($49/month or $0.02/call)
License
MIT