Tiny Utils

AI-writing-tells detector (rules-based) + CSV/JSON, hashing, slugs, word counts, UUIDs. Free.

Should I use this

Quality & Safety

A
Description quality
88%
Schema completeness
82%
Naming quality
80%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (3)

  • LOWTool 'hash' description lacks action verbin hash
  • LOWTool 'slug' description lacks action verbin slug
  • LOWTool 'time' description lacks action verbin time

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~509Tokens (tool definitions)
~297 BTypical response size
Minimal attention impact (0.40% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "utils": {
      "url": "https://utils.bigfloppy.net/mcp"
    }
  }
}

Remote endpoints

https://utils.bigfloppy.net/mcpstreamable-http

What it can do

Tool inventory

Tools (9)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
⚪aitells(text)

AI-writing-tells score 0-99 with verdict, word/sentence counts. Rules-based, deterministic, no LLM. Input: text to check.

Input Schema

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "description": "text to analyze"
    }
  },
  "required": [
    "text"
  ]
}
⚪aitells_report(text)

Full AI-writing-tells report: score, every matched tell with example sentences, style stats (em-dash rate, rule-of-three, sentence-length uniformity). Deterministic, no LLM.

Input Schema

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "description": "text to analyze"
    }
  },
  "required": [
    "text"
  ]
}
⚪csv2json(csv)

Convert CSV text to a JSON array of objects (first row = headers).

Input Schema

{
  "type": "object",
  "properties": {
    "csv": {
      "type": "string",
      "description": "CSV text"
    }
  },
  "required": [
    "csv"
  ]
}
⚪json2csv(json)

Convert a JSON array of objects to CSV text.

Input Schema

{
  "type": "object",
  "properties": {
    "json": {
      "type": "string",
      "description": "JSON array (or single object) as a string"
    }
  },
  "required": [
    "json"
  ]
}
⚪hash(text, algo)

Hash text with md5, sha1, sha256 or sha512 (default sha256).

Input Schema

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string"
    },
    "algo": {
      "type": "string",
      "enum": [
        "md5",
        "sha1",
        "sha256",
        "sha512"
      ]
    }
  },
  "required": [
    "text"
  ]
}
⚪slug(text)

Turn text into a URL slug.

Input Schema

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string"
    }
  },
  "required": [
    "text"
  ]
}
🟢wordcount(text)

Count words, characters and lines of text.

Input Schema

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string"
    }
  },
  "required": [
    "text"
  ]
}
⚪uuid(n)

Generate random UUIDv4s (1-100, default 5).

Input Schema

{
  "type": "object",
  "properties": {
    "n": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100
    }
  },
  "required": []
}
⚪time

Current unix + ISO UTC time.

Input Schema

{
  "type": "object",
  "properties": {},
  "required": []
}

Community

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Evidence

Recent observations

verifiedversion not recorded9 tools