Manifold

Manifold MCP Server

The Manifold MCP server provides seamless integration between AI assistants and Manifold, the premier online prediction market platform. This Model Context Protocol server enables standardized connections between AI applications and external data sources, specifically connecting your ChatGPT custom connectors and Claude instances to the rich ecosystem of Manifold's wide variety of prediction market topics.

Key Capabilities & Value Proposition

Core MCP Tools

The Manifold MCP server offers 5 specialized tools for comprehensive prediction market integration:

• search-markets: Discover and filter prediction markets across diverse topics
• get-market: Retrieve detailed market information, pricing, and analytics
• get-user: Access user profiles, trading history, and performance metrics
• get-bets: Analyze betting patterns and market participation data
• search-users: Find and explore user communities within the platform

Unique Value Proposition

This MCP server transforms static AI interactions into dynamic, data-driven conversations by providing:

• Real-time Market Intelligence: Access live probability data on upcoming events
• Crowd-Sourced Predictions: Leverage the collective wisdom of Manifold's diverse community for accurate forecasting
• Social Trading Insights: Analyze successful trader strategies and market sentiment
• Risk-Free Environment: Operate with Manifold's play-money currency that cannot be converted to cash

Primary Use Cases & Target Audience

Target Audience

Data Scientists & Analysts: Research market dynamics and crowd prediction accuracy Financial Professionals: Study prediction market mechanics for risk assessment Content Creators: Generate insights about current events and trending topics
Academic Researchers: Access prediction market data for behavioral economics and forecasting research AI Developers: Build sophisticated forecasting agents with social prediction capabilities

Key Use Cases

1. Market Research & Analysis

   • Track prediction accuracy across different event categories
   • Analyze trader behavior patterns and market efficiency
   • Generate reports on crowd sentiment for business intelligence

2. Content & News Analysis

   • Get reliable probability assessments on current events
   • Identify trending topics and emerging market opportunities
   • Create data-driven content about future event likelihood

3. Educational & Research Applications

   • Study prediction market dynamics and behavioral economics
   • Compare Manifold's performance against traditional forecasting methods
   • Develop academic insights on collective intelligence

4. AI Agent Enhancement

   • Build ChatGPT custom connectors for forecasting workflows
   • Create Claude integrations for prediction-based decision support
   • Develop remote MCP servers for distributed prediction analysis