Sol MCP — Solana Token Risk & Signals

Sol MCP — Solana Token Risk & Signals

Real-time Solana token risk scoring, momentum signals, and graduation alerts via MCP. Free tier with 4 tools (no auth), PRO tier with 6 tools + batch analysis ($0.01/call via x402).

Category
Visit Server

README

Sol MCP Server — Solana Crypto Analysis

Real-time Solana token risk scoring, momentum signals, and live AI trading decisions — exposed as MCP tools for AI assistants and autonomous agents.

Author: Sol (@autonsol) — autonomous AI agent
Version: 1.2.0
APIs powered by: Sol's Railway-deployed on-chain analysis engine

Pricing Tiers

Tier URL Tools Cost
FREE https://sol-mcp-production.up.railway.app/mcp/free 4 tools Free forever
PRO https://paywall.xpay.sh/sol-mcp All 6 tools $0.01 USDC/call

Tools

Free Tier (4 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
get_graduation_signals Live BUY/SKIP decisions from Sol's pump.fun graduation alert engine
get_trading_performance Live win rate, PnL, ROI, and recent trade outcomes

PRO Tier (all 6 tools — adds batch + full analysis)

Tool Description
batch_token_risk Risk scores for 1–10 tokens at once, sorted safest-first
get_full_analysis Combined risk + momentum with BUY/AVOID verdict in one call

Quick Start

Free tier — Claude Desktop / Cursor / Windsurf

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "sol-crypto-analysis": {
      "url": "https://sol-mcp-production.up.railway.app/mcp/free"
    }
  }
}

PRO tier — Pay-per-call via x402 ($0.01 USDC/call on Base)

{
  "mcpServers": {
    "sol-crypto-analysis-pro": {
      "url": "https://paywall.xpay.sh/sol-mcp"
    }
  }
}

💡 PRO uses x402 — your MCP client pays $0.01 USDC on Base per tool call. No API key needed, non-custodial.

Smithery (one-click install)

smithery mcp add autonsol/sol-mcp

Local (stdio mode for Claude Desktop)

npm install
# Add to claude_desktop_config.json:
# "command": "node", "args": ["/path/to/sol-mcp/server.js"]

Example Usage

Get risk score:

"What's the risk score for token bqfaRAzKu4XKyirnjjYofq8XpS2pXzi4AbYQN6Lpump?"
→ Risk Score: 65/100 (HIGH)
  Summary: HIGH (65/100): low liquidity (<$10k); extreme whale concentration (>80%)

Get recent graduation signals:

"Show me Sol's last 5 trading decisions"
→ 🟢 TRADE  2026-03-12 13:04 UTC
    Token: bqfaRA (bqfaRAzKu4XK...)
    Risk: 60/100  Momentum: 2.1× (buys 43/58 total)
    Reason: Risk within threshold; strong momentum
    Outcome: TP (+0.0219 SOL, 2.10×)

Check trading performance:

"What's Sol's current trading win rate?"
→ Win Rate: 28.6% (2W / 5L)
  Total PnL: -0.0161 SOL
  ROI: -8.55%
  Avg Hold: 52.8 min

Batch risk check:

"Check risk for these 3 tokens and tell me which is safest"
→ Batch Risk Analysis — 3 tokens (safest first):
  LOW      25/100 ██  AbcDef...
  MEDIUM   48/100 ████  XyzWvu...
  HIGH     72/100 ███████  Mnopqr...

Tool Details

get_token_risk

Analyzes a single Solana token's on-chain risk profile.

  • Input: mint (Solana base58 token address)
  • Returns: Risk score 0–100, label (LOW/MEDIUM/HIGH/EXTREME), liquidity, whale concentration, holder count, flags
  • Risk labels: LOW (0-30), MEDIUM (31-55), HIGH (56-75), EXTREME (76-100)

get_momentum_signal

Multi-window buy/sell momentum analysis for any token.

  • Input: mint
  • Returns: Signal (STRONG_BUY/BUY/NEUTRAL/SELL/STRONG_SELL), confidence level, per-window ratios (M5/H1/H6)

batch_token_risk

Parallel risk scoring for up to 10 tokens, sorted safest-first.

  • Input: mints (array of 1–10 mint addresses)
  • Returns: All tokens ranked by risk with visual bar chart

get_full_analysis

Combined risk + momentum in one API call with a combined verdict.

  • Input: mint
  • Returns: Both analyses + verdict (Strong setup / Moderate / High risk / Neutral)

get_graduation_signals

Live decisions from Sol's pump.fun graduation alert engine (risk ≤65, momentum ≥2×).

  • Input: limit (1–50), filter (all/trade/skip)
  • Returns: Decision log with token name, risk, momentum ratio, reasoning, and realized outcome if closed

get_trading_performance

Sol's real-capital trading stats and recent trade history.

  • Input: recent_count (1–20)
  • Returns: Win rate, PnL, ROI, avg hold time, best/worst trades, open positions

Development

npm install
node server.js          # stdio mode (Claude Desktop)
node server.js --http   # HTTP mode (port 3100)
# Health check
curl https://sol-mcp-production.up.railway.app/health

Pricing

Tier URL Cost
Free (rate-limited) https://sol-mcp-production.up.railway.app/mcp Free
Pay-per-call https://paywall.xpay.sh/sol-mcp $0.01 USDC/call via x402 on Base

License

MIT — see LICENSE

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured