# ASON MCP Server

> Use this tool when you need to optimize JSON data for large language models (LLMs) by compressing and decompressing it using the ASON format, reducing token usage by 20-60%. It takes JSON data as input and outputs compressed ASON data, and vice versa, making it ideal for applications with limited token budgets. This tool is particularly useful in contexts where efficient data representation is crucial, such as in LLM-based APIs or data-intensive workflows.

Canonical page: https://skillsregistry.net/skills/ason-format-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ason-format-mcp-server

## Description

Enables compression and decompression of JSON data using the token-optimized ASON format, reducing token usage by 20-60% for LLM applications.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p0gsh1m2ch)
- **Repository:** <https://github.com/ason-format/mcp-server>

## 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": "ason-format-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ason-format-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ason-format-mcp-server/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