# Mindjack

> Mindjack — freyotrisolana-mindjack-mcp. Use this tool when you need to assess the risk of Solana memecoins for trading, as it provides a calibrated rug probability, detects potential scams, and offers insights into token holder behavior and market trends. It solves problems such as identifying high-risk tokens, detecting insider trades, and predicting sellability. The Mindjack tool accepts API keys or OAuth credentials as input and outputs detailed risk assessments and trading insights.

Canonical page: https://skillsregistry.net/skills/freyotrisolana-mindjack-mcp  
JSON: https://api.skillsregistry.net/v1/skills/freyotrisolana-mindjack-mcp

## Description

Solana memecoin rug check and token risk for trading agents in the trenches: pump.fun launches, calibrated rug probability with a published hit rate, sniper, insider and bundle detection, holder clusters, KOL trades, wallet history and a live sellability check for memecoins. Available as a remote MCP endpoint (OAuth or API key) and as an npm stdio package.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bouwmx77w3)
- **Repository:** <https://github.com/freyotrisolana/mindjack-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": "freyotrisolana-mindjack-mcp"
    }
  }
}
```

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