Polymarket MCP Tool
Related Servers
Alternatives to Polymarket MCP Tool
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceA Model Context Protocol (MCP) server for Polymarket prediction markets, providing real-time market data, prices, and AI-powered analysis tools for Claude Desktop integration.48MIT
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables seamless integration with Polymarket, providing tools to search markets, fetch events, analyze leaderboards, query user activity, and more via MCP-compatible clients like Claude.30 npmMIT
- AlicenseNot gradedqualityAmaintenanceA Model Context Protocol server for Kalshi prediction markets, enabling LLMs to query markets, prepare and confirm orders with safety caps and rate limiting.165 PyPI3MIT
- FlicenseNot gradedqualityDmaintenanceMCP server that exposes Polymarket prediction markets via CLI wrapper. Enables AI agents to discover markets, check prices, and place trades programmatically.-
- AlicenseNot gradedqualityCmaintenanceMCP server for querying and optionally trading across prediction markets (Polymarket, Kalshi, Limitless, Manifold) through a unified API.31MIT
- AlicenseBqualityCmaintenanceMCP server for Polymarket prediction markets enabling query of markets, events, narratives, arbitrage, and more via MCP or HTTP.9MIT
TDQS
Scored across 3 tools
The three tools have distinct primary purposes: getting trending topics, fetching markets by topic, and searching markets by term. However, there is some functional overlap between `prediction_markets_markets_by_topic` and `search_prediction_markets` as both return market data, which could cause minor confusion about when to use each.
All tool names follow a consistent snake_case pattern with a clear `prediction_markets_` prefix and descriptive suffixes (`trending_topics`, `markets_by_topic`, `search_prediction_markets`). The naming is predictable and follows a logical structure throughout.
With only 3 tools, the server feels somewhat thin for a prediction markets domain. While the tools cover basic discovery and search functionality, the limited count suggests potential gaps in comprehensive market interaction capabilities that might be expected from such a service.
The tools provide good discovery and search capabilities but lack any market interaction functions (like placing bets, viewing user positions, or managing portfolios). For a prediction markets server, this represents notable gaps in the full lifecycle of market participation, though the provided tools work well together for information gathering.