Opinion.trade MCP Server
Related Servers
Alternatives to Opinion.trade MCP Server
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityCmaintenanceEnables interaction with Polymarket prediction markets through read-only access to market data, events, orderbooks, and user positions, plus authenticated trading capabilities for creating and managing orders.1-
- AlicenseAqualityDmaintenanceProvides read-only access to Polymarket prediction markets, enabling searches, order book inspection, price history, reward market rankings, and trader activity via natural language.622 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables MCP clients to query live Polymarket and Kalshi odds, price history, movers, resolved and closing markets, cross-platform gaps, watch-based change tracking, and X/Twitter sentiment in a single call, paying per request in USDC on Base via x402. Also surfaces ticker-linked event markets and a free example call so agents can inspect results before spending.23 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables access to Polymarket's prediction markets for analyzing market probabilities, trading activity, and event outcomes across politics, sports, crypto, and other categories through natural language queries.27 npm10MIT
- FlicenseAqualityDmaintenanceProvides read-only tools for discovering, analyzing, and monitoring Hyperliquid HIP-4 prediction markets (outcome trading) on testnet.10-
- AlicenseAqualityCmaintenanceMCP (Model Context Protocol) server that gives AI agents structured access to Predict.fun — a prediction market protocol on BNB Chain with $1.5B+ volume and yield-bearing mechanics via Venus Protocol. Indexes data from three subgraphs: orderbook activity, position lifecycle, and yield mechanics.15MIT
TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose with no ambiguity: get_market_details focuses on a specific market, get_markets lists markets, get_orderbook shows bids/asks, get_price_history provides historical data, get_token_price gives current price, and search_markets enables keyword search. The descriptions reinforce these distinct roles, making misselection unlikely.
All tools follow a consistent verb_noun pattern using snake_case (e.g., get_market_details, get_orderbook, search_markets). The naming is predictable and readable throughout the set, with no deviations in style or convention.
With 6 tools, the count is well-scoped for a prediction market server, covering core functionalities like listing, searching, and retrieving market and price data. Each tool earns its place without feeling excessive or insufficient for the domain.
The tool surface provides strong coverage for querying and analyzing prediction markets, including market details, listings, order books, and price data. A minor gap exists in the lack of tools for creating or trading on markets (e.g., place_order, create_market), but agents can still perform comprehensive read-only operations effectively.