"Prediction methods or tools for Polymarket outcomes" matching MCP servers:

Provides AI agents with real-time prediction market odds from Polymarket and Kalshi, enabling them to browse active markets, retrieve detailed probabilities and trading data, and discover trending markets via x402 micropayments.

Recommends study designs for a research question, states the identifying assumptions to verify, and returns runnable R, Python, or Julia code with a formatted citation for every source, drawn from methodological textbooks, an R package, and research articles on causal inference, econometrics, statistics, and machine learning.

Enables AI agents to discover and analyze prediction markets, execute trades, and manage positions on Polymarket via the Model Context Protocol.

A simple MCP server that grabs prediction market data from polymarket, PredictIt, & Kalshi.

Provides real-time access to Polymarket prediction market data, enabling search, browsing, and analysis of prediction markets through natural language.

Unified access to prediction market data from Kalshi and Polymarket, enabling natural language queries for real-time odds, orderbooks, and trade history.

Enables querying Polymarket prediction market data, including top active markets and order books, without an API key or database.

Polymarket prediction markets for Claude — market search, order books, price history, and a liquidity-rewards scanner. Credential-free.

Provides read-only access to Polymarket prediction markets, enabling searches, order book inspection, price history, reward market rankings, and trader activity via natural language.

Enables AI agents to browse, search, and trade on Polymarket prediction markets, including viewing markets, order books, balances, and placing/canceling orders.

Wraps a hosted prediction market API to expose estimation, sizing, scanning, ensemble, and service-information tools for experimental research, returning payment-required details on HTTP 402 responses without handling payment itself.

Enables MCP clients to search Polymarket and Kalshi, read live implied probabilities and order books, compare the same question side by side across both venues, and produce short markdown briefings with cited sources. It is read-only, needs no API keys, and performs no trading.

Enables AI assistants to interact with Polymarket prediction markets, including retrieving market data, user positions, and trading history.

An MCP server that enables querying Polymarket prediction market data through The Graph subgraphs. It provides tools for accessing market stats, trader P\&L, user positions, and orderbook activity using AI agents.

Enables AI agents to interact with the Polymarket prediction market platform to discover markets, analyze real-time pricing, and monitor public portfolio data. It provides comprehensive access to market analytics, implied probabilities, and order books through the Model Context Protocol.

MCP server exposing 47 Polymarket API tools for AI assistants. Covers the full Gamma, CLOB, and Data APIs plus a fluent MarketBuilder for multi-source queries.

Enables AI agents to trade on Polymarket prediction markets via a self-hosted MCP server, supporting wallet management, order placement, position syncing, and gasless transactions on the Polygon network.

A 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.

Enables 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.

Enables AI assistants to query Polymarket prediction markets, accessing real-time odds, market data, price history, order books, and trending markets across categories like politics, crypto, and sports through natural language.

Read-only Polymarket data tools for AI agents: wallet profiles, fee-inclusive PnL cross-checks, Brier-score calibration, leaderboards, market scans and more (10 tools). No API keys, no order placement — data only. English + Chinese docs.

MCP server for analyzing successful trading bots on Polymarket, enabling discovery of top traders, AI-powered strategy classification, and bot detection.

Enables querying the Gibraltar Prediction Market Regulations 2026 in plain English via MCP clients, returning exact cited regulation text.

A read-only MCP server that lets Claude query Polymarket's public APIs for markets, events, live order books, price history, trades, open interest, trader leaderboards, and wallet positions and P&L. It also offers arbitrage scanning, market "x-ray" reports, calibration scoring, daily digests, and a local simulated paper-trading ledger — with no keys, no signer, and no real orders ever placed.

Trade, analyze, and automate Polymarket prediction markets via AI. 34 tools for direct trading, smart money flow, copy trading, backtest, and portfolio management.

Connects Claude Desktop, Cursor, Windsurf, and autonomous agents to live prediction-market Level 2 orderbooks, cross-venue arbitrage scanning, quadratic fee calculations, whale trade monitoring, and multi-venue market search across seven venues.

A local MCP server that enables AI applications like Claude Desktop to securely access and work with Obsidian vaults, providing capabilities for reading notes, executing templates, and performing semantic searches.

Enables local AI clients such as Claude Code and Cursor to search, analyze, and monitor prediction-market data, and, once live mode is explicitly switched on, sign and submit CLOB orders from the operator's own wallet. It runs in a safe preview mode by default, writing simulated trades to local SQLite instead of sending orders.

MCP server enabling AI agents to place bets on Polymarket using CLOB v2 with x402 payment and auto-setup.

Enables deterministic calculations for AI API and subscription costs, meeting time zones, recurring schedules, and cron next-run previews, returning normalized inputs, units, assumptions, dated sources, and links to results.