Rekko MCP

Rekko MCP

Provides prediction market intelligence, research, and strategy signals for platforms like Kalshi, Polymarket, and Robinhood. It enables AI assistants to perform market screening, arbitrage detection, and deep causal analysis to support informed trading decisions.

Category
访问服务器

README

Rekko MCP

PyPI License: MIT Python 3.11+

Prediction market intelligence for AI coding assistants. Deep causal research, arbitrage detection, screening, and strategy signals for Kalshi, Polymarket, and Robinhood.

Install

# Zero-install via uvx
uvx rekko-mcp

# Or install from PyPI
pip install rekko-mcp

Claude Code

claude mcp add rekko -- uvx rekko-mcp

Or add to .mcp.json:

{
  "mcpServers": {
    "rekko": {
      "command": "uvx",
      "args": ["rekko-mcp"],
      "env": {
        "REKKO_API_KEY": "rk_free_your_key_here"
      }
    }
  }
}

Cursor / Windsurf

Add to your MCP configuration with the same uvx rekko-mcp command and REKKO_API_KEY env var.

Setup

  1. Get an API key at rekko.ai (free tier available)
  2. Set your key: export REKKO_API_KEY=rk_free_...
  3. Start using — tools appear as mcp__rekko__* automatically

Example prompts

  • "What are the top prediction markets right now?"
  • "Analyze the Fed rate decision market on Kalshi"
  • "Find arbitrage opportunities above 3% spread"
  • "Screen the top 50 Kalshi markets and analyze anything actionable"
  • "Show my shadow portfolio performance"

What you get

25 MCP tools integrated natively into your AI assistant:

Category Tools
Market intelligence list_markets, get_market, search_markets, get_market_history, get_resolution, get_execution_guidance
Screening screen_markets, get_calibration
Deep research analyze_market, check_analysis_status, get_analysis, list_analyses
Strategy get_strategy, get_portfolio_strategy, get_consensus
Arbitrage get_arbitrage, get_arbitrage_live
Correlation get_correlation
Trading place_shadow_trade, report_trade, get_portfolio, get_performance, check_resolutions
Data run_scraper
Webhooks create_webhook, list_webhooks, delete_webhook

Pricing

Tier Price/call What you get
Free $0.00 Calibration metrics, health check
Listing $0.01 Browse and search markets, price history
Insight $0.10 Start analyses, screen markets, resolution intelligence
Strategy $2.00 Strategy signals, portfolio-aware sizing, consensus
Deep $5.00 Arbitrage scanning, correlation analysis, webhooks

Full pricing details at rekko.ai/docs/pricing.

Chaining with execution skills

Rekko provides the intelligence — chain with execution skills for trading:

  • PolyClaw — execute trades on Polymarket
  • Kalshi Trader — execute trades on Kalshi

Example flow: Rekko analysis → strategy signal → PolyClaw executes the trade.

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