# Aparavi MCP Server

> Use this tool when you need to process and extract insights from documents and diagrams, leveraging its integration with Aparavi's document processing API to perform OCR and text extraction. It solves problems related to document analysis and data extraction, providing clean text outputs for further processing. Ideal for use cases where LLMs require structured data from unstructured documents and images.

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

## Description

Integrates with Aparavi's document processing API to allow LLMs to process documents, extract clean text, and perform OCR on diagrams.

## 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/aeun7j4psp)
- **Repository:** <https://github.com/AparaviSoftware/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": "aparavisoftware-mcp-server"
    }
  }
}
```

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