kukapay/polymarket-predictions-mcp

💰 Finance & Fintech
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🐍 ☁️ - An MCP server that delivers real-time market odds from Polymarket.

Quick Install

One-Click IDE Configuration
claude_desktop_config.json
{
  "mcpServers": {
    "kukapay-polymarket-predictions-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "kukapay-polymarket-predictions-mcp"
      ]
    }
  }
}
Or

Using an AI coding agent (Claude Code, Cursor, etc.)? Copy a ready-made prompt that tells it to fetch the setup instructions and install this server for you.

Documentation Overview

Polymarket Predictions MCP

An MCP server that delivers real-time market odds from Polymarket, enabling AI agents and analysts to access, compare, and act on decentralized prediction data.

GitHub License Python Version Status

Features

  • Event Retrieval: Fetch Polymarket events with details (title, description, endDate, volume) and associated markets in a tabulated format.
  • Market Retrieval: Retrieve markets with key fields (question, zipped outcomes and outcomePrices, endDate, volume, closed) in a table.
  • Event Search: Search for events using Polymarket's /public-search endpoint with comprehensive query parameters.
  • Prompt Support: Includes a prompt template for analyzing specific markets.
  • Formatted Outputs: Uses tabulate for clean, readable table outputs and handles JSON parsing for outcomes and prices.

Installation

Prerequisites

  • Python 3.10 or higher
  • uv (recommended) or pip for dependency management

Setup

  1. Clone the Repository:

    git clone https://github.com/kukapay/polymarket-predictions-mcp.git
    cd polymarket-predictions-mcp
    
  2. Install Dependencies: Using uv:

    uv sync
    

    Or using pip:

    pip install mcp[cli] httpx tabulate
    
  3. Install to Claude Desktop:

    Install the server as a Claude Desktop application:

    uv run mcp install main.py --name "Polymarket Predictions"
    

    Configuration file as a reference:

    {
       "mcpServers": {
           "Polymarket Predictions": {
               "command": "uv",
               "args": [ "--directory", "/path/to/polymarket-predictions-mcp", "run", "main.py" ]
           }
       }
    }
    

    Replace /path/to/polymarket-predictions-mcp with your actual installation path.

Usage

The server exposes three tools and one prompt:

Tools

  1. get_events: Fetches a list of Polymarket events with details and their associated markets.

    • Parameters:
      • limit: Number of events (default: 10)
      • offset: Pagination offset (default: 0)
      • order: Fields to order by (e.g., volume,markets.volume)
      • ascending: Sort order (default: False)
      • id: List of event IDs
      • slug: List of event slugs
      • tag_id: Tag ID filter
      • closed: Filter for closed events (default: False)
    • Output: Formatted string with event details (title, description, endDate, volume) and a table of markets (question, closed, volume, outcomes, outcomePrices).

    Example:

    • Prompt

      Show me the top 2 Polymarket events by volume, including only open events, with their market details.

    • Sample Output:

      ## US Presidential Election 2024
      
      Closed: False | End Date: 2024-11-05 | Volume: $1000000
      
      Predict the outcome of the 2024 US Presidential Election...
      
      Markets:
      +--------------------------------------------------+----------+-----------+-------------------+-------------------+
      | Question                                         | Closed   | Volume    | Outcomes          | Outcome Prices    |
      +==================================================+==========+===========+===================+===================+
      | Who will win the 2024 US Presidential Election?  | False    | $500000   | Biden, Trump      | 0.45, 0.55       |
      +--------------------------------------------------+----------+-----------+-------------------+-------------------+
      | Will Biden win the 2024 election?               | False    | $200000   | Yes, No           | 0.40, 0.60       |
      +--------------------------------------------------+----------+-----------+-------------------+-------------------+
      
      ## Super Bowl LVIII
      
      Closed: True | End Date: 2024-02-11 | Volume: $500000
      
      Predict outcomes related to Super Bowl LVIII...
      
      Markets:
      +--------------------------------------------------+----------+-----------+-------------------+-------------------+
      | Question                                         | Closed   | Volume    | Outcomes          | Outcome Prices    |
      +==================================================+==========+===========+===================+===================+
      | Who will win Super Bowl LVIII?                  | True     | $300000   | Chiefs, 49ers     | 0.60, 0.40       |
      +--------------------------------------------------+----------+-----------+-------------------+-------------------+
      
  2. get_markets: Fetches a list of Polymarket markets with specified fields.

    • Parameters:
      • limit: Number of markets (default: 10)
      • offset: Pagination offset (default: 0)
      • order: Fields to order by (e.g., volume)
      • ascending: Sort order (default: False)
      • id: List of market IDs
      • slug: List of market slugs
      • condition_ids: List of condition IDs
      • closed: Filter for closed markets (default: False)
    • Output: Table with question, options (zipped outcomes and outcomePrices), endDate, volume, and closed.

    Example:

    • Prompt:

      List the top 2 Polymarket markets by trading volume, showing only open markets with their outcomes and prices.

    • Sample Output:

      +--------------------------------------------------+-------------------------+---------------------+-----------+----------+
      | Question                                         | Options                 | End Date            | Volume    | Closed   |
      +==================================================+=========================+=====================+===========+==========+
      | Who will win the 2024 US Presidential Election?  | {"Biden": 0.45, "Trump": 0.55} | 2024-11-05 | $500000   | False    |
      +--------------------------------------------------+-------------------------+---------------------+-----------+----------+
      | Will Bitcoin reach $100K by end of 2024?        | {"Yes": 0.30, "No": 0.70} | 2024-12-31     | $200000   | False    |
      +--------------------------------------------------+-------------------------+---------------------+-----------+----------+
      
  3. search_events: Searches for events using the /public-search endpoint.

    • Parameters:
      • q: Search query (required)
      • cache: Use cached results
      • events_status: Filter by event status
      • limit_per_type: Results per type (default: 10)
      • page: Page number for pagination
      • events_tag: List of event tags
      • keep_closed_markets: Number of closed markets
      • sort: Field to sort by
      • ascending: Sort order
      • search_tags: Include tags in search
      • search_profiles: Include profiles in search
      • recurrence: Filter by recurrence type
      • exclude_tag_id: List of tag IDs to exclude
      • optimized: Use optimized search
    • Output: Formatted string with event details and markets tables, similar to get_events.

    Example:

    • Prompt:

      Search for Polymarket events about 'Bitcoin', filtering for active events with the 'crypto' tag, sorted by volume in ascending order.

    • Sample Output: (Similar format to get_events output, with Bitcoin-related events and markets)

Prompt

  • analyze_market: A prompt template for analyzing a specific market by slug, encouraging use of tools to fetch details and provide insights on probabilities, volume, and outcomes.

    Example:

    • Prompt:

      Analyze the Polymarket prediction market for 'us-presidential-election-2024' and provide insights on its probabilities, trading volume, and potential outcomes.

    • Command:

      analyze_market(market_slug="us-presidential-election-2024")
      

License

This project is licensed under the MIT License. See the LICENSE file for details.

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