# Aucterra MCP Server

> Use this tool when you need to integrate large language models (LLMs) with document understanding capabilities, enabling agents to classify and extract specific fields from documents. The Aucterra MCP Server provides a structured interface for accessing these services, taking in document inputs and outputting classified and extracted field data. Ideal for use cases requiring automated document processing and information extraction.

Canonical page: https://skillsregistry.net/skills/japisuru-aucterra-mcp  
JSON: https://api.skillsregistry.net/v1/skills/japisuru-aucterra-mcp

## Description

An MCP-compatible server that enables LLM agents to interact with Aucterra's document understanding APIs, providing structured access to document classification and field extraction services.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c65ald5ruo)
- **Repository:** <https://github.com/japisuru/aucterra-mcp>

## 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": "japisuru-aucterra-mcp"
    }
  }
}
```

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