PolyOrderbooks MCP Server
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Alternatives to PolyOrderbooks MCP Server
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Related Servers
- AlicenseAqualityBmaintenanceEnables MCP clients to query historical Polymarket order book depth at 1-second resolution, including full L2 bid and ask ladders with resolved outcomes, alongside market search, price history, and liquidity metrics. It also exposes depth data that Polymarket's own API does not archive, letting users analyze what could actually have been traded at a specific past moment.817 npmMIT
- AlicenseAqualityAmaintenanceHistorical Polymarket order book depth — full L2 bid/ask ladders at 1-second resolution on resolved markets, plus prices, spread and liquidity. Polymarket archives no order book history, so this serves depth captured live.817 npmMIT
- AlicenseAqualityCmaintenanceA read-only MCP server exposing Polymarket's public prediction-market data. Search markets, read live odds and order books, pull historical probability time-series, and inspect public wallet positions.1463 PyPIMIT
- AlicenseAqualityBmaintenanceProvides read-only access to Polymarket US public market data, including prices, order books, and spread/fee analytics, via MCP tools.16MIT
- AlicenseAqualityBmaintenanceEnables AI assistants to search Kalshi, Polymarket and Limitless prediction markets by keyword, venue, category or status, inspect series and market details, and review recorded YES bid/ask price history over a market's life. It also reports recording coverage and lists datasets, letting users browse or download daily order book Parquet files with an API key.101MIT
- AlicenseBqualityDmaintenanceEnables comprehensive read access to Polymarket prediction market data, including live prices, order books, and market statistics. It allows AI assistants to analyze events, search markets, and monitor real-time signals without requiring API keys or authentication.221MIT
TDQS
Scored across 8 tools
Each tool targets a distinct entity or data type: search_markets, search_series, and search_events operate at different granularities of Polymarket structure, and the get_* tools cleanly separate market detail, order book depth, price history, metrics, and usage info. The descriptions explicitly call out when to use one search tool over another, so an agent should not confuse them.
All tool names follow a consistent snake_case verb_noun pattern: search_* for discovery and get_* for retrieval. There is no mixing of camelCase, bare verbs, or inconsistent naming styles.
Eight tools is well-scoped for a read-only historical data server: three search tools for navigation, four retrieval tools for different data dimensions, and one usage/limits tool. Every tool has a clear role and none feels redundant.
The server covers the full exploration workflow: search series/events/markets, get market detail, then fetch order book history, price history, or derived metrics. It also includes a usage tool for rate-limit planning, and the search tools handle closed/resolved markets for historical analysis, leaving no obvious dead ends.