# Polymarket

> Use this tool when you need to access and analyze prediction market data, enabling tasks like market analysis, trend identification, and price tracking. It provides a robust interface for fetching market information, prices, and historical data, with clean data formatting and comprehensive error handling. Ideal for financial analysis, decision-making support, or integrating prediction market insights into AI-driven systems, allowing assistants to interact with PolyMarket without requiring deep API knowledge.

Canonical page: https://skillsregistry.net/skills/berlinbra-polymarket-predictions  
JSON: https://api.skillsregistry.net/v1/skills/berlinbra-polymarket-predictions

## Description

This PolyMarket MCP server, developed by berlinbra, provides a robust interface for interacting with the PolyMarket API, enabling AI assistants to access and analyze prediction market data. Built with Python and leveraging libraries like httpx and python-dotenv, it offers tools for fetching market information, prices, and historical data. The implementation focuses on clean data formatting, comprehensive error handling, and rate limit management, making it accessible for AI models to perform tasks like market analysis, trend identification, and price tracking. It's particularly useful for financial analysis, decision-making support, or integrating prediction market insights into AI-driven systems, allowing assistants to interact with PolyMarket without requiring deep knowledge of the underlying API complexities.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-05-27

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/berlinbra-polymarket-predictions)
- **Repository:** <https://github.com/berlinbra/polymarket-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "berlinbra-polymarket-predictions"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/berlinbra-polymarket-predictions` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/berlinbra-polymarket-predictions/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt