Does this aggregate data from multiple prediction market platforms?

The server is designed for prediction market data aggregation and analysis. Check the repository for details on which specific platforms and data sources are supported.

Can I trade directly through this server?

The server focuses on data aggregation and analysis rather than direct trade execution. It is designed to help agents research and evaluate prediction market opportunities across platforms.

What kinds of analysis does the server support?

The server provides tools for analyzing prediction market data, which may include probability comparisons, market sentiment tracking, and cross-platform opportunity identification.

Prediction Market MCP (JamesANZ)

Prediction Market MCP (JamesANZ) is an MCP server focused on aggregating and analyzing prediction market data. Rather than being tied to a single platform, it is designed to collect prediction market information and provide analytical tools that help agents evaluate event probabilities, compare prices, and identify potential opportunities across the prediction market landscape.

The server structures prediction market data for MCP consumption, enabling agents to access market probabilities, pricing data, and analytical insights through typed tool calls. This aggregation approach is valuable because prediction market data is often fragmented across multiple platforms, and having a unified view helps agents conduct more thorough analysis. The analytical capabilities can help surface discrepancies between platforms or between market-implied probabilities and other information sources.

Prediction Market MCP from JamesANZ is well suited for prediction market researchers and traders who want agent-assisted analysis of event contract markets. The data aggregation approach makes it a useful research tool for understanding market consensus, tracking sentiment shifts, and identifying potentially mispriced contracts. It complements platform-specific MCP servers by providing the cross-platform analytical perspective.