# Anomaly Tracker MCP

> Use this tool when you need to detect unusual patterns in blockchain event sequences, particularly in financial transactions, to identify potential security threats or fraudulent activities. The Anomaly Tracker MCP analyzes event windows and generates human-readable story labels and anomaly scores, enabling swift investigation and response. It is ideal for applications requiring real-time monitoring and anomaly detection in blockchain-based financial systems.

Canonical page: https://skillsregistry.net/skills/forgemeshlabs-anomaly-mcp  
JSON: https://api.skillsregistry.net/v1/skills/forgemeshlabs-anomaly-mcp

## Description

Blockchain event sequence anomaly detection MCP server using NASA-derived sequence mining, providing human-readable story labels and anomaly scores for financial event windows.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **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/fs36zz3jy1)
- **Repository:** <https://github.com/forgemeshlabs/anomaly-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": "forgemeshlabs-anomaly-mcp"
    }
  }
}
```

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