# io.github.MukundaKatta/promptbudget-mcp

> Use this tool when you need to efficiently manage text prompts for Large Language Models (LLMs) by counting, truncating, and chunking text within token budgets. It solves problems related to prompt optimization, character limits, and input formatting for AI models. The tool takes text inputs and returns truncated or chunked text outputs, making it ideal for use cases where token budgets are limited.

Canonical page: https://skillsregistry.net/skills/io-github-mukundakatta-promptbudget-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-mukundakatta-promptbudget-mcp

## Description

Token-budget-aware text handling: count, truncate, and chunk for LLM prompts.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.MukundaKatta%2Fpromptbudget-mcp)
- **Repository:** <https://github.com/MukundaKatta/mcp-stack>

## 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-mukundakatta-promptbudget-mcp"
    }
  }
}
```

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