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PolyMarket MCP 服务器

Community
berlinbra

MCP Server for PolyMarket API

Publisherberlinbra
Repositorypolymarket-mcp
LanguagePython
Forks
22
Stars
142
Available tools
0
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    PolyMarket MCP 服务器 exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    142 stars and 22 forks from the linked repository.

PolyMarket MCP Server

smithery badge

A Model Context Protocol (MCP) server that provides access to prediction market data through the PolyMarket API. This server implements a standardized interface for retrieving market information, prices, and historical data from prediction markets.

MseeP.ai Security Assessment Badge

Features

  • Real-time prediction market data with current prices and probabilities
  • Detailed market information including categories, resolution dates, and descriptions
  • Historical price and volume data with customizable timeframes (1d, 7d, 30d, all)
  • Built-in error handling and rate limit management
  • Clean data formatting for easy consumption

Installation

Installing via Smithery

To install PolyMarket Predictions for Claude Desktop automatically via Smithery:

bash
npx -y @smithery/cli install polymarket_mcp --client claude

Claude Desktop

  • On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
  • On Windows: %APPDATA%/Claude/claude_desktop_config.json
json
    "mcpServers": {
        "polymarket-mcp": {
            "command": "uv",
            "args": [
            "--directory",
            "/Users/{INSERT_USER}/YOUR/PATH/TO/polymarket-mcp",
            "run",
            "polymarket-mcp" //or src/polymarket_mcp/server.py
            ],
            "env": {
                "KEY": "<insert poly market api key>",
                "FUNDER": "<insert polymarket wallet address>"
            }
        }
    }

Running Locally

  1. Clone the repository and install dependencies:

Install Libraries

uv pip install -e .

Running

After connecting Claude client with the MCP tool via json file and installing the packages, Claude should see the server's mcp tools:

You can run the sever yourself via: In polymarket-mcp repo:

uv run src/polymarket_mcp/server.py

*if you want to run the server inspector along with the server:

npx @modelcontextprotocol/inspector uv --directory C:\\Users\\{INSERT_USER}\\YOUR\\PATH\\TO\\polymarket-mcp run src/polymarket_mcp/server.py
  1. Create a .env file with your PolyMarket API key:
Key=your_api_key_here
Funder=poly market wallet address

After connecting Claude client with the MCP tool via json file, run the server: In alpha-vantage-mcp repo: uv run src/polymarket_mcp/server.py

Available Tools

The server implements four tools:

  • get-market-info: Get detailed information about a specific prediction market
  • list-markets: List available prediction markets with filtering options
  • get-market-prices: Get current prices and trading information
  • get-market-history: Get historical price and volume data

get-market-info

Input Schema:

json
{
    "market_id": {
        "type": "string",
        "description": "Market ID or slug"
    }
}

Example Response:

Title: Example Market
Category: Politics
Status: Open
Resolution Date: 2024-12-31
Volume: $1,234,567.89
Liquidity: $98,765.43
Description: This is an example prediction market...
---

list-markets

Input Schema:

json
{
    "status": {
        "type": "string",
        "description": "Filter by market status",
        "enum": ["open", "closed", "resolved"]
    },
    "limit": {
        "type": "integer",
        "description": "Number of markets to return",
        "default": 10,
        "minimum": 1,
        "maximum": 100
    },
    "offset": {
        "type": "integer",
        "description": "Number of markets to skip (for pagination)",
        "default": 0,
        "minimum": 0
    }
}

Example Response:

Available Markets:

ID: market-123
Title: US Presidential Election 2024
Status: Open
Volume: $1,234,567.89
---

ID: market-124
Title: Oscar Best Picture 2024
Status: Open
Volume: $234,567.89
---

get-market-prices

Input Schema:

json
{
    "market_id": {
        "type": "string",
        "description": "Market ID or slug"
    }
}

Example Response:

Current Market Prices for US Presidential Election 2024

Outcome: Democratic
Price: $0.6500
Probability: 65.0%
---

Outcome: Republican
Price: $0.3500
Probability: 35.0%
---

get-market-history

Input Schema:

json
{
    "market_id": {
        "type": "string",
        "description": "Market ID or slug"
    },
    "timeframe": {
        "type": "string",
        "description": "Time period for historical data",
        "enum": ["1d", "7d", "30d", "all"],
        "default": "7d"
    }
}

Example Response:

Historical Data for US Presidential Election 2024
Time Period: 7d

Time: 2024-01-20T12:00:00Z
Price: $0.6500
Volume: $123,456.78
---

Time: 2024-01-19T12:00:00Z
Price: $0.6300
Volume: $98,765.43
---

Error Handling

The server includes comprehensive error handling for various scenarios:

  • Rate limiting (429 errors)
  • Invalid API keys (403 errors)
  • Invalid market IDs (404 errors)
  • Network connectivity issues
  • API timeout conditions (30-second timeout)
  • Malformed responses

Error messages are returned in a clear, human-readable format.

Prerequisites

  • Python 3.9 or higher
  • httpx>=0.24.0
  • mcp-core
  • python-dotenv>=1.0.0

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

Installation

TypingMind
{
  "mcpServers": {
    "polymarket-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "polymarket_mcp",
        "--client",
        "claude"
      ]
    }
  }
}

Use PolyMarket MCP 服务器 MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once PolyMarket MCP 服务器 is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add PolyMarket MCP 服务器 as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the PolyMarket MCP 服务器 MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "polymarket-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "polymarket_mcp"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the PolyMarket MCP 服务器 MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the PolyMarket MCP 服务器 MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use PolyMarket MCP 服务器 to help me with this task?
PolyMarket MCP 服务器
Sure. I read it.
Here is what I found using PolyMarket MCP 服务器.

Frequently asked questions

What is the PolyMarket MCP 服务器 MCP server used for?

PolyMarket MCP 服务器 is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use PolyMarket MCP 服务器 MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use PolyMarket MCP 服务器 with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use PolyMarket MCP 服务器 MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With PolyMarket MCP 服务器 connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect PolyMarket MCP 服务器 MCP to TypingMind?

PolyMarket MCP 服务器 runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does PolyMarket MCP 服务器 MCP provide in TypingMind?

PolyMarket MCP 服务器 exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use PolyMarket MCP 服务器 MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If PolyMarket MCP 服务器 requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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