Polymarket MCP
P

Polymarket MCP

This is an MCP server project that provides a standardized interface for the Polymarket prediction market. It supports deployment through Docker containers and provides functions such as market data query, event information acquisition, and order book viewing, making it convenient for AI assistants to analyze prediction markets.
2 points
9.4K

What is the Polymarket MCP Server?

The Polymarket MCP Server is a tool for connecting to and controlling the Polymarket prediction market, allowing users to interact through the Model Context Protocol (MCP).

Main Features

The server provides functions such as real-time data acquisition, market monitoring, and transaction execution to help users better participate in the Polymarket prediction market.
Real-time Data Acquisition
Acquire real-time market data from the Polymarket Gamma API, including prices, trading volumes, and market status.
Market Monitoring
Monitor the dynamics of multiple markets and set alerts or notifications to respond to specific events.
Transaction Execution
Execute transactions directly through the MCP protocol, simplifying the interaction process with Polymarket.
Choose the Installation Method
Users can choose to install through a Docker container or directly use a Python environment for installation.
Configure Server Settings
Configure parameters such as API keys and data update frequencies as needed.
Start the Server
Run the installed server and monitor its status to ensure a normal connection to the Polymarket network.
Track Political Markets
Monitor the prediction market situation of political events such as the US presidential election in real-time.
Market Analysis
Analyze the historical price trends of specific markets to help make investment decisions.
Event Research
Conduct in-depth research on event information of specific prediction markets, such as resolution criteria and sources.
How to obtain an API key?
Which operating systems does the server support?
How to handle the data update frequency?
Polymarket Official Documentation
View detailed Polymarket prediction market API documentation and development guides.
GitHub Repository
Visit GitHub to obtain the source code and participate in community contributions.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "polymarket": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-e", "GAMMA_API_URL",
        "-e", "GAMMA_REQUIRES_AUTH",
        "polymarket-mcp-server"
      ],
      "env": {
        "GAMMA_API_URL": "https://gamma-api.polymarket.com",
        "GAMMA_REQUIRES_AUTH": "false"
      }
    }
  }
}

{
  "mcpServers": {
    "polymarket": {
      "command": "/usr/local/bin/uv",  // Use the full path to your uv installation
      "args": [
        "run",
        "-m", "polymarket_mcp_server.main"
      ],
      "cwd": "<full path to polymarket-mcp directory>",
      "env": {
        "GAMMA_API_URL": "https://gamma-api.polymarket.com",
        "GAMMA_REQUIRES_AUTH": "false"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
7.4K
5 points
M
Maverick MCP
MaverickMCP is a personal stock analysis server based on FastMCP 2.0, providing professional level financial data analysis, technical indicator calculation, and investment portfolio optimization tools for MCP clients such as Claude Desktop. It comes pre-set with 520 S&P 500 stock data, supports multiple technical analysis strategies and parallel processing, and can run locally without complex authentication.
Python
10.3K
4 points
K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
18.4K
5 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
13.1K
5 points
C
Contracts Wizard
OpenZeppelin Contracts Wizard is an interactive smart contract building tool that allows users to generate contract code based on OpenZeppelin components by selecting contract types, parameters, and functions. It supports multiple programming languages and provides API and embedding functions.
TypeScript
9.2K
4 points
A
Apple Health MCP
An MCP server for querying Apple Health data via SQL, implemented based on DuckDB for efficient analysis, supporting natural language queries and automatic report generation.
TypeScript
10.4K
4.5 points
M
MCP Server Airbnb
Certified
MCP service for Airbnb listing search and details query
TypeScript
15.0K
4 points
A
Awesome Web3 MCP Servers
This is a curated list of Web3 Model Context Protocol (MCP) servers, covering multiple categories such as chain interaction, trading, DeFi, market data, tools, and social. MCP is an open protocol that standardizes how applications provide context to LLMs, similar to the USB - C port for AI applications. DeMCP is the first decentralized MCP network, focusing on providing self - developed and open - source MCP services for agents, supporting cryptocurrency payments, and redefining the security and reliability of MCP by combining TEE and blockchain registries.
16.8K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
30.4K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
21.1K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
19.3K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
64.2K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
58.4K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
27.2K
5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
41.8K
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
85.7K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase