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mobymedia/polymarket-news-mcp

by Various

MCP server that matches news headlines to the Polymarket prediction markets they could move — live odds, deep links, explainable matching

MCP

mobymedia/polymarket-news-mcp

Added 16 Sept 2026

#ai-agents #claude #llm-tools #mcp #mcp-server #model-context-protocol #news #odds

Overview

MCP server that matches news headlines to Polymarket prediction markets they could move. It returns live odds, deep links, and an explanation for each match. Written in Python, it runs as a Model Context Protocol server.

Best for

Best for
Developers building news-driven prediction market tools.

Use cases

  • Monitor news headlines against live Polymarket odds
  • Build alerts for markets likely to move on breaking news
  • Add explainable market links to news dashboards

How to use

Install

uvx polymarket-news-mcp

Tools exposed

  • match_news
  • latest_matched_news
  • search_markets
  • trending_markets
  • get_market
  • trading_status
  • place_limit_order
  • place_market_buy
  • my_open_orders
  • cancel_order
  • my_positions

Tested with

Claude Desktop, Claude Code, ChatGPT

Example client config

{\n  "mcpServers": {\n    "polymarket-news": {\n      "command": "uvx",\n      "args": ["polymarket-news-mcp"]\n    }\n  }\n}

Notes

MCP server that matches news headlines to Polymarket prediction markets they could move. It returns live odds, deep links, and an explanation for each match. Written in Python, it runs as a Model Context Protocol server.

0 stars on GitHub. Last updated 2026-09-09. Licensed MIT.

Use cases

  • Monitor news headlines against live Polymarket odds
  • Build alerts for markets likely to move on breaking news
  • Add explainable market links to news dashboards

Pros

  • Explainable matching helps users understand why a headline maps to a market
  • Includes live odds and deep links for quick action
  • Lightweight Python MCP server for easy integration

Cons

  • No community traction yet with zero stars
  • Matching accuracy depends on headline wording and market coverage
  • Requires self-hosting and configuring the MCP server

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Explainable matching helps users understand why a headline maps to a market
  • Includes live odds and deep links for quick action
  • Lightweight Python MCP server for easy integration

Cons

  • No community traction yet with zero stars
  • Matching accuracy depends on headline wording and market coverage
  • Requires self-hosting and configuring the MCP server

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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