Oracle Manipulation Detection Strategy

Oracle Manipulation Detection Strategy MCP Connector for Claude

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Detect and avoid token price manipulation by analyzing oracle deviations and DEX spot prices.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides deterministic tools to identify and mitigate oracle price manipulation attacks. By comparing multiple oracle sources like Chainlink and Pyth against DEX spot prices, it calculates oracle deviation and identifies stale data. Use analyze_price_integrity to detect manipulation flags, calculate_safe_price to derive a consensus median price, and get_manipulation_probability to assess risk based on historical patterns. It helps trading systems decide whether to proceed, use caution, or halt activity to avoid losses from manipulated price feeds.

oraclemanipulationprice-detectiondefirisk-management

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

analyze_price_integrity

Evaluates the current state of oracle and DEX prices to identify immediate manipulation risks

calculate_safe_price

Derives a single reliable price from multiple oracle inputs

get_manipulation_probability

Quantifies the risk of a price deviation being an attack based on historical patterns

See how to talk to your AI agent using Oracle Manipulation Detection Strategy.

Check if the current oracle prices are being manipulated.

The current oracle deviation is 2.5%, which is within normal bounds. The trading recommendation is to proceed.

Calculate a reliable price from these oracle values: 100, 102, 98, 101.

The safe price is 100.5.

What is the probability that a 7% deviation is a manipulation?

Based on historical data, there is an 85% probability that a 7% deviation represents a manipulation event.

The `analyze_price_integrity` tool flags manipulation when the deviation between oracles exceeds 5%, one oracle matches the DEX spot price while the other does not, and the diverging oracle is stale.

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