# Polymarket by Quantish

> Use this tool when you need to integrate AI agents with Polymarket prediction markets for seamless trading, leveraging gasless transactions and streamlined account management. It solves problems related to transaction costs, market access, and wallet management, enabling efficient and cost-effective trading. The tool accepts inputs such as trading instructions and wallet credentials, and outputs include trade confirmations, position updates, and winnings redemption.

Canonical page: https://skillsregistry.net/skills/gh-joinquantish-polymarket  
JSON: https://api.skillsregistry.net/v1/skills/gh-joinquantish-polymarket

## Description

Enables AI agents to trade on Polymarket prediction markets via the Polygon network with gasless transactions through Polymarket's relayer. Provides tools for account and Safe wallet management, order placement, position tracking, winnings redemption, token swaps via LI.FI, and cross-chain deposits from EVM, Solana, and BTC addresses.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-joinquantish-polymarket)
- **Repository:** <https://github.com/joinquantish/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": "gh-joinquantish-polymarket"
    }
  }
}
```

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

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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