# ChainAware Behavioural Prediction MCP Server

> Use this tool when you need to predict and prevent fraudulent activities in cryptocurrency transactions, such as rug pulls, by analyzing wallet behavior. It provides AI-powered insights to detect suspicious patterns and anomalies, enabling proactive measures to mitigate financial losses. Ideal for cryptocurrency exchanges, wallets, and financial institutions seeking to enhance security and protect users' assets.

Canonical page: https://skillsregistry.net/skills/io-github-chainaware-chainaware-behavioral-prediction-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-chainaware-chainaware-behavioral-prediction-mcp

## Description

AI-powered tools to analyze wallet behaviour prediction, fraud detection and rug pull prediction.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.ChainAware%2Fchainaware-behavioral-prediction-mcp)

## Use it

MCP endpoint published by the skill: `https://prediction.mcp.chainaware.ai/sse`

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": "io-github-chainaware-chainaware-behavioral-prediction-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-chainaware-chainaware-behavioral-prediction-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-chainaware-chainaware-behavioral-prediction-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