Prediction Markets MCP Server

Prediction Markets MCP Server

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

Category
访问服务器

README

<p align="center"> <img src="docs/assets/logo.png" alt="Prediction Markets MCP" width="200"> </p>

Prediction Markets MCP Server

CI codecov License: MIT

An MCP server providing unified access to prediction market data from Kalshi and Polymarket.

[!WARNING] This project is in early development. APIs may change without notice.

Why Use This?

Prediction markets aggregate crowd wisdom into real-time probabilities. This MCP server lets you:

  • Unify platforms — Query Kalshi and Polymarket through one interface
  • Use natural language — Ask "What are the odds?" instead of parsing JSON APIs
  • Get real-time data — Access prices, orderbooks, and trade history instantly
  • Search efficiently — Full-text search across thousands of markets in <1ms

Instead of manually browsing market websites or writing API integration code, ask your AI assistant directly.

What Can You Ask?

Once connected, try these natural language queries:

  • "What are the current odds on Polymarket for the next Fed rate decision?"
  • "Show me all open Kalshi markets about the 2024 election"
  • "Search Kalshi for markets about climate change"
  • "Show me the orderbook for the next Fed rate decision on Kalshi"

Quick Start

Add to your MCP client configuration (e.g., ~/.claude.json for Claude Code):

{
  "mcpServers": {
    "prediction-markets": {
      "command": "npx",
      "args": ["-y", "prediction-mcp"],
      "env": {
        "KALSHI_API_KEY": "your-api-key",
        "KALSHI_PRIVATE_KEY_PATH": "/path/to/key.pem"
      }
    }
  }
}

Note: Polymarket works without credentials. Kalshi credentials are optional but required for authenticated operations.

Restart your MCP client to load the server.

📖 Full documentation — Setup guides for 7 MCP clients, troubleshooting, and more.

Installation

This server is published on npm and runs via npx. No cloning or building required.

Configuration Format

Most MCP clients use the same JSON structure:

{
  "mcpServers": {
    "prediction-markets": {
      "command": "npx",
      "args": ["-y", "prediction-mcp"],
      "env": {
        "KALSHI_API_KEY": "your-api-key",
        "KALSHI_PRIVATE_KEY_PATH": "/path/to/key.pem"
      }
    }
  }
}

Alternative runtimes: If you prefer Bun, use "command": "bunx" and "args": ["prediction-mcp"].

Client-Specific Locations

Client Configuration File
Claude Code .mcp.json (project root) or ~/.claude.json (global)
Claude Desktop ~/Library/Application Support/Claude/claude_desktop_config.json (macOS)
VS Code (Copilot) .vscode/mcp.json (uses "servers" key instead of "mcpServers")
Cursor .cursor/mcp.json or Cursor settings

See the Getting Started guide for detailed setup instructions for all supported clients.

Credentials

Kalshi

Kalshi requires API credentials for authenticated requests:

KALSHI_API_KEY=your-api-key-id
KALSHI_PRIVATE_KEY_PATH=/path/to/private-key.pem

Get credentials at kalshi.com/account/profile.

Demo Environment

Kalshi provides a demo environment for testing with mock funds:

KALSHI_USE_DEMO=true

Demo credentials are separate from production—create a demo account at demo.kalshi.co.

Polymarket

Polymarket tools work without authentication—all read operations are public.

Available Tools

Platform Tools
Kalshi kalshi_list_markets, kalshi_get_market, kalshi_get_orderbook, kalshi_get_trades, kalshi_search, etc.
Polymarket polymarket_list_markets, polymarket_get_market, polymarket_get_orderbook, polymarket_get_price, etc.

See Tools Reference for the full tool reference with parameters.

Run bun run docs:generate after modifying tools to keep documentation in sync.

Development

For contributors working on this project:

git clone https://github.com/shaanmajid/prediction-mcp.git
cd prediction-mcp
bun install

bun test              # Run tests
bun run typecheck     # Type check
bun run lint          # Lint
bun run format        # Format

Pre-commit hooks run these checks automatically via Husky.

Documentation

bun run docs:generate  # Regenerate docs from source
bun run docs:check     # Verify docs match source (CI uses this)
bun run docs:serve     # Preview at localhost:8000

Project Structure

index.ts              # Server entry point
src/
  clients/
    kalshi.ts         # Kalshi API client
    polymarket.ts     # Polymarket Gamma + CLOB client
  search/
    cache.ts          # Search index
    service.ts        # Search lifecycle
  tools.ts            # MCP tool handlers
  validation.ts       # Zod schemas
scripts/
  bootstrap.ts        # MCP registration helper
  docs.ts             # Doc generator CLI

Links

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选