# io.github.rascal-3/chainanalyzer-mcp

> Use this tool when you need to assess and mitigate anti-money laundering (AML) risks across multiple blockchain networks. It analyzes transactions on BTC, ETH, POL, AVAX, and SOL to identify potential sanctions violations and suspicious activity, providing risk scores and tracing transaction flows. Ideal for cryptocurrency exchanges, financial institutions, and compliance teams requiring multi-chain screening and monitoring capabilities.

Canonical page: https://skillsregistry.net/skills/io-github-rascal-3-chainanalyzer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-rascal-3-chainanalyzer-mcp

## Description

Multi-chain AML risk scoring, sanctions screening, and tx tracing across BTC, ETH, POL, AVAX, SOL.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.rascal-3%2Fchainanalyzer-mcp)
- **Repository:** <https://github.com/rascal-3/chainanalyzer-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": "io-github-rascal-3-chainanalyzer-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-rascal-3-chainanalyzer-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-rascal-3-chainanalyzer-mcp/pull`

---
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