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

Enables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.

Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.

Enables AI agents to look up an individual federal case's or defendant's outcome by docket number plus district or circuit, and to answer aggregate caseload-statistics questions such as counts of filings and terminations broken down by nature of suit, offense code, disposition, fiscal year, or district/circuit. Data comes from the Federal Judicial Center's Integrated Database, covering civil, criminal, and appellate filings that opinion/docket readers have no aggregate data for.

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.

Provides search, trending, odds, arbitrage, and category browsing for prediction markets (Polymarket & Kalshi) via the Model Context Protocol, enabling AI agents to access live market data without API keys.

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

Enables autonomous trading on Polymarket prediction markets using natural language thesis descriptions, with risk management and MCP integration.

MCP server for Polymarket prediction markets enabling query of markets, events, narratives, arbitrage, and more via MCP or HTTP.

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

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

An MCP server and Python toolkit that provides AI agents with real-time tools for Polymarket prediction markets, including liquidity scanning, arbitrage detection, and slippage estimation. It also offers advanced wallet intelligence, portfolio risk calculation, and probabilistic reasoning to enhance market analysis and strategy.

A Model Context Protocol (MCP) server for Polymarket prediction markets, providing real-time market data, prices, and AI-powered analysis tools for Claude Desktop integration.

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

Read-only MCP server for Polymarket prediction market data, enabling AI agents to search markets, get details, view holders, leaderboard, and user positions.

Provides access to Polymarket prediction-market data via Gamma and CLOB public APIs, enabling AI agents to query market information.

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.

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.

Enables AI assistants to query Polymarket prediction markets and analyze market data through the MCP interface.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

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.

AI-agent ready FastMCP server for Polymarket market discovery, wallet analytics, and public CLOB data, providing a read-only interface for querying markets, wallets, and order books.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

A 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.

MCP server for Polymarket prediction markets, enabling search, market details, pricing, and bet analysis through 6 tools, with optional authenticated trading via API key.

Connects real-world news to Polymarket prediction markets by matching headlines to relevant markets with live odds. Read-only by default with optional trading capabilities.

A Model Context Protocol server that enables interaction with Polymarket prediction markets through Claude Desktop.

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

Enables AI assistants to discover prediction markets, view real-time data, execute trades (market/limit orders), and manage portfolios on Polymarket.