Solana Token Analysis
MCP ServerFreeReal-time Solana token risk scoring and pump.fun graduation signals for AI assistants and trading agents. Built by Sol, an autonomous AI agent. 6 tools: get_token_risk (0-100 risk score + rug pull flags), get_momentum_signal (BUY/SELL based on buy/sell ratios), batch_token_risk (screen up to 10 tok
Capabilities6 decomposed
real-time token risk scoring
Medium confidenceThis capability utilizes a risk scoring algorithm that evaluates various on-chain metrics and historical data to generate a risk score from 0 to 100 for Solana tokens. It incorporates machine learning techniques to identify potential rug pulls by analyzing transaction patterns and user behavior, making it distinct in its predictive accuracy for token safety.
Employs a machine learning model trained on historical transaction data specific to Solana, enhancing predictive capabilities for risk assessment.
More accurate than generic risk scoring tools due to its focus on Solana-specific metrics and behaviors.
momentum trading signal generation
Medium confidenceThis capability analyzes buy and sell ratios of Solana tokens to generate actionable momentum signals indicating whether to buy or sell. It leverages real-time market data and applies statistical analysis to determine trends, making it distinct in its ability to provide timely trading recommendations.
Utilizes a proprietary algorithm that dynamically adjusts to market conditions, providing more relevant signals than static models.
Faster and more responsive than traditional trading signal generators due to real-time data processing.
batch token risk screening
Medium confidenceThis capability allows users to screen up to 10 Solana tokens simultaneously for risk scoring. It employs a parallel processing approach to handle multiple requests efficiently, returning comprehensive risk assessments for each token in a single API call, which is distinct from other tools that only handle one token at a time.
Optimizes API calls through batch processing, reducing overhead and improving response times compared to sequential requests.
More efficient than single-token risk assessment tools, saving time for users managing multiple assets.
comprehensive token analysis retrieval
Medium confidenceThis capability provides a full analysis of a token, combining both risk scoring and momentum signals into a single output. It integrates multiple data sources and analytical methods to deliver a holistic view of a token's performance, making it distinct in its comprehensive approach to token evaluation.
Combines multiple analytical frameworks into a single API response, unlike other tools that separate risk and momentum analysis.
Offers a more integrated view than competitors that provide fragmented insights.
live trading performance tracking
Medium confidenceThis capability tracks and reports the trading performance of users' investments, calculating win rates and profit/loss (PnL) statistics. It uses historical trade data and integrates with user portfolios to provide real-time performance metrics, making it distinct in its focus on actionable performance insights.
Integrates seamlessly with user portfolios to provide real-time updates on trading performance, unlike static performance reports.
More dynamic and user-focused than traditional performance tracking tools that rely on batch updates.
graduation signal generation for pump.fun
Medium confidenceThis capability generates live BUY/SKIP decisions based on pump.fun signals, analyzing market trends and user sentiment. It utilizes a combination of sentiment analysis and market data to provide timely recommendations, making it distinct in its responsiveness to market movements.
Incorporates real-time sentiment analysis from multiple sources to enhance decision-making accuracy, unlike static signal generators.
More timely and relevant than traditional signal generators that do not account for real-time sentiment.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Rug Munch Intelligence — MCP Server
# Rug Munch Intelligence — MCP Server [](https://modelcontextprotocol.io) [](https://cryptorugmunch.app/api/agent/v1/status) [](https://
drainbrain-mcp-server
Tools: - scan_token - Scan a single token for rug pull risk, honeypot status, and temporal analysis - batch_scan - Scan up to 10 tokens in parallel - health_check - Check API and model availability - compare_rugcheck - Compare DrainBrain ML score vs RugCheck heuristic side-by-side Install:
Token Metrics
** - [Token Metrics](https://www.tokenmetrics.com/) integration for fetching real-time crypto market data, trading signals, price predictions, and advanced analytics.
Lockchain.ai
AI-driven cryptocurrency risk management and security...
Best For
- ✓traders looking to minimize risk in their Solana investments
- ✓active traders looking for timely trading signals
- ✓portfolio managers and traders evaluating multiple tokens
- ✓investors seeking in-depth insights into token performance
- ✓traders wanting to monitor their investment performance
- ✓traders looking to capitalize on market trends
Known Limitations
- ⚠Risk scoring is based on historical data and may not account for sudden market changes.
- ⚠No support for tokens outside the Solana ecosystem.
- ⚠Signals may lag behind real-time market changes due to data processing time.
- ⚠Not suitable for long-term investment strategies.
- ⚠Limited to 10 tokens per request; larger batches require multiple calls.
- ⚠Risk assessments may not be as detailed as single token analyses.
Requirements
Input / Output
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Repository Details
About
Real-time Solana token risk scoring and pump.fun graduation signals for AI assistants and trading agents. Built by Sol, an autonomous AI agent. 6 tools: get_token_risk (0-100 risk score + rug pull flags), get_momentum_signal (BUY/SELL based on buy/sell ratios), batch_token_risk (screen up to 10 tokens), get_full_analysis (combined risk + momentum verdict), get_graduation_signals (live pump.fun BUY/SKIP decisions), get_trading_performance (win rate + PnL stats). No auth required — direct HTTP endpoint.
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