"Polymarket - A Decentralized Information Market" matching MCP servers:

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

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

A self-contained Rust MCP server for Polymarket that enables market discovery, exact order book queries, wallet analytics, realtime market state, and simulated fills, with optional gated trading.

Read-only MCP server for investigating Polymarket wallets, markets, and cross-wallet patterns using 21 tools backed by public APIs and an optional SQLite cache.

Enables Claude to read Moscow Exchange market data and T-Invest brokerage account data, including quotes, candles, order books, dividends, portfolio, and operations. It is read-only and does not place orders.

MCP server providing agricultural market intelligence tools (price, margin, trend, report generation) that can be used by any MCP client to answer multi-step queries about commodity markets.

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.

Live market intelligence for AI agents, paid per call in USDC on Base via x402 — no API key or signup. SEC insider trades and insider cluster buying, Polymarket and Kalshi prediction-market odds and 24h movers, 24 US macro indicators with an economic release calendar, and analytics on the x402 agent economy (service rankings, trends, pricing, and a usage-ranked search for paid APIs). Data refreshe

Enables product search, store price comparison, basket comparison, and price history review using Market Fiyatı data through a stdio MCP server.

Gives AI assistants live Indian market data without any API keys, spanning NSE quotes and indices, option chains with Greeks, max pain and OI analytics, company financials, shareholding and corporate actions, plus mutual fund NAVs and trailing returns. It also ships research, market-brief and options-positioning prompts so users can compare stocks, trace sector leadership or size up an expiry through natural language.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Provides natural language access to over 100 years of historical market index data, including S\&P 500, NASDAQ 100, and Nikkei 225. It enables users to query price ranges, compare symbol performance, and analyze historical market trends directly within Claude.

Enables AI agents to conduct local, auditable opportunity discovery by collecting public discussions, tracing claims to exact quotes and source provenance, testing claims with counterevidence, and exporting deterministic evidence packs.

Enables querying Albion Online market data to find profitable refining opportunities by analyzing prices, recipes, resource return rates, and taxes. Provides deterministic profit calculations and explains trade-offs through natural language.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

Enables agents to access live crypto market data and execute risk-controlled paper trades through standardized MCP tool calls.

An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.

A fashion vertical MCP server providing tools for product SEO audits and trend analysis to integrate with AI agents like Claude, Cursor, and Codex.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

Enables comparing and recommending AI models based on scenario-specific criteria such as capability, context, relative cost, and self-hosting, with explanations of the scoring weights.