# Polymarket MCP Server

> Use this tool when you need to analyze and optimize trading strategies on Polymarket prediction markets, solving problems like identifying arbitrage opportunities and calculating optimal bet sizes. It takes in natural language queries and market data as inputs, providing outputs like expected value and Kelly bet sizing metrics. Utilize it in contexts where data-driven decision making is crucial for maximizing returns on prediction market investments.

Canonical page: https://skillsregistry.net/skills/miles0sage-polymarket-mcp  
JSON: https://api.skillsregistry.net/v1/skills/miles0sage-polymarket-mcp

## Description

Provides AI-powered tools for searching Polymarket prediction markets and calculating financial metrics like expected value and Kelly bet sizing. It enables users to perform arbitrage scanning, news-based sentiment analysis, and market research through natural language interfaces.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xny4j4uy46)
- **Repository:** <https://github.com/Miles0sage/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": "miles0sage-polymarket-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/miles0sage-polymarket-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/miles0sage-polymarket-mcp/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