MEV Sandwich Detection Strategy

MEV Sandwich Detection Strategy MCP Connector for Claude

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Identify and avoid sandwich attacks in DEX transactions.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides tools to detect and analyze Maximal Extractable Value (MEV) sandwich attacks. Use detect_sandwich_pattern to determine if a specific transaction was targeted by front-running and back-running bots. Use analyze_sandwich_statistics to get aggregate data on attack frequency and affected tokens. Use evaluate_protection_strategy to receive risk assessments and recommendations for specific trades to minimize slippage and avoid high-risk tokens.

mevsandwich-attackdexethereumprotection

3 tools expose this connector's capabilities to your AI agent.

detect_sandwich_pattern

Determines if a specific transaction was the victim of a sandwich attack pattern

analyze_sandwich_statistics

Provides high-level aggregate metrics regarding the frequency and intensity of sandwich attacks

evaluate_protection_strategy

Evaluates whether a specific token or trade should be avoided based on current MEV risk levels

See how to talk to your AI agent using MEV Sandwich Detection Strategy.

Was this transaction sandwiched?

The transaction was indeed part of a sandwich attack, resulting in a victim impact of 4.5%.

Should I trade this token?

No, you should avoid this token as its sandwich frequency is currently above 5%.

What is the current sandwich attack frequency?

The current sandwich frequency is 12 attacks per 1000 DEX transactions.

You can use the `detect_sandwich_pattern` tool with your transaction and mempool data to confirm if a sandwich pattern occurred.

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