# Token Enhancer

> Use this tool when you need to optimize AI web-fetching costs and improve large language model (LLM) performance by removing unnecessary page content. The Token Enhancer takes in web pages, strips away irrelevant data, and outputs cleaned and optimized tokens, reducing costs by up to 99.9%. Ideal for applications where efficient web data processing is crucial, such as web scraping, data mining, and AI model training.

Canonical page: https://skillsregistry.net/skills/io-github-xelektron-token-enhancer  
JSON: https://api.skillsregistry.net/v1/skills/io-github-xelektron-token-enhancer

## Description

Cuts AI web-fetching costs up to 99.9% by stripping page junk before it reaches your LLM.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.xelektron%2Ftoken-enhancer)
- **Repository:** <https://github.com/xelektron/token-enhancer>

## 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-xelektron-token-enhancer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-xelektron-token-enhancer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-xelektron-token-enhancer/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