# PolyMind MCP

> Use this tool when you need to analyze Polymarket prediction markets and uncover hidden insights. The PolyMind MCP platform solves problems related to market sentiment, smart money tracking, and arbitrage opportunities by providing on-chain data analysis and natural language query capabilities. It takes in natural language queries as input and outputs actionable market intelligence, making it ideal for use cases where data-driven decision making is crucial.

Canonical page: https://skillsregistry.net/skills/su-an-coder-poly-mind-mcp  
JSON: https://api.skillsregistry.net/v1/skills/su-an-coder-poly-mind-mcp

## Description

An AI-driven platform for analyzing Polymarket prediction markets using on-chain data, offering smart money tracking, sentiment analysis, and arbitrage detection via natural language queries.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i3wz5r03g0)
- **Repository:** <https://github.com/SU-AN-coder/Poly-Mind-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": "su-an-coder-poly-mind-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/su-an-coder-poly-mind-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/su-an-coder-poly-mind-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