Sol MCP — Solana Token Risk & Signals
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_token_riskA | Get a risk score (0–100) and risk label for a Solana token mint address. LOW (0-30) = safer, HIGH (56-75) = risky, EXTREME (76-100) = likely rug. Analyzes liquidity, whale concentration, holder count, and volume patterns. |
| get_momentum_signalA | Get a buy/sell momentum signal for a Solana token based on multi-window buy/sell ratio analysis. Returns STRONG_BUY / BUY / NEUTRAL / SELL / STRONG_SELL with confidence level. |
| batch_token_riskA | Get risk scores for multiple Solana tokens (up to 10) in one call. Returns results sorted by risk score, lowest (safest) first. |
| get_full_analysisA | Get both risk score AND momentum signal for a token in one call. Combined verdict: low risk + strong buy = best setup for entry. |
| get_graduation_signalsA | Get recent token graduation signal decisions from Sol's on-chain analysis engine. Shows which pump.fun tokens were flagged as BUY or SKIP, with full reasoning. Tokens are evaluated at graduation (bonding curve completion) using risk score + momentum. BUY signals have risk ≤65 and strong momentum (2.0–3.0× ratio depending on risk tier). Use this to discover tokens Sol's AI has vetted as worth trading. |
| get_trading_performanceA | Get Sol's live trading performance stats and recent closed trades. Shows win rate, total PnL, ROI, and the most recent trade outcomes. Sol trades pump.fun graduating tokens on Solana using a risk + momentum strategy. Useful for evaluating signal quality before using get_graduation_signals for trade ideas. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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.