# io.github.Mibayy/token-savior

> Use this tool when you need to efficiently manage and utilize tokens for AI development, as it provides a compact structural codebase for MCP servers, solving problems of token waste and optimizing resource allocation. It takes in token inputs and outputs optimized token usage, streamlining AI development workflows. Ideal for use cases where token efficiency is crucial, such as large-scale AI model training and deployment.

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

## Description

Structural codebase MCP server — navigate and edit code by symbol name, not raw text.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.9.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

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

## 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-mibayy-token-savior"
    }
  }
}
```

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