# Aporix MCP Server

> Aporix MCP Server — yashvis15-aporix-mcp-server. Use this tool when you need to optimize document processing and reduce costs associated with token usage. The Aporix MCP Server exposes an API for document compression and savings analysis, providing inputs for document data and outputs for optimized compression ratios and cost savings estimates. It is ideal for use cases where document processing efficiency and cost reduction are critical, such as large-scale text analysis and natural language processing applications.

Canonical page: https://skillsregistry.net/skills/yashvis15-aporix-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/yashvis15-aporix-mcp-server

## Description

Exposes the Aporix document optimization API as an MCP tool for AI agents, enabling document compression and token/cost savings analysis.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **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/h7sgz6655b)
- **Repository:** <https://github.com/yashvis15/aporix-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": "yashvis15-aporix-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yashvis15-aporix-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yashvis15-aporix-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