# FabTally Utility Belt

> FabTally Utility Belt — zvmzaretsky-fabtally-belt-mcp. Use this tool when you need to perform various data processing tasks, such as conversions, text manipulation, and validation, to solve problems related to data consistency and formatting. The FabTally Utility Belt provides a range of micro-utilities with simple input/output interfaces, including free and paid tools for tasks like hashing, encoding, and date math. It is ideal for use cases requiring precise data transformations and validations, with capabilities including timezone handling, cron scheduling, and JSON Schema validation.

Canonical page: https://skillsregistry.net/skills/zvmzaretsky-fabtally-belt-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zvmzaretsky-fabtally-belt-mcp

## Description

Provides deterministic micro-utilities as an MCP server, including free tools for conversion, text processing, hashing, encoding, ID generation, and regex, plus paid per-call tools for timezone, cron, RRULE, currency, diff, JSON Schema validation, and date math.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j7sgw92v3t)
- **Repository:** <https://github.com/zvmzaretsky/fabtally-belt-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": "zvmzaretsky-fabtally-belt-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zvmzaretsky-fabtally-belt-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zvmzaretsky-fabtally-belt-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