# onchain-forensics

> onchain-forensics — manteclaw-mcp-server-onchain-forensics. Use this tool when you need to investigate and analyze blockchain transactions across multiple chains. It solves problems related to tracing transactions, identifying suspicious activity, and detecting anomalies, providing inputs such as transaction data and outputs like clustered addresses and anomaly reports. Ideal for use cases involving cryptocurrency fraud detection, anti-money laundering, and compliance monitoring.

Canonical page: https://skillsregistry.net/skills/manteclaw-mcp-server-onchain-forensics  
JSON: https://api.skillsregistry.net/v1/skills/manteclaw-mcp-server-onchain-forensics

## Description

Enables blockchain forensics across multiple chains (Base, Ethereum, Arbitrum, Optimism, Polygon) with tools to trace transactions, cluster addresses, detect anomalies, and identify mixer usage.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rsdsumjg8n)
- **Repository:** <https://github.com/manteclaw/mcp-server-onchain-forensics>

## 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": "manteclaw-mcp-server-onchain-forensics"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/manteclaw-mcp-server-onchain-forensics` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/manteclaw-mcp-server-onchain-forensics/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