# MCP Acadêmico

> MCP Acadêmico — werverton-mcp-academico. Use this tool when you need to streamline your academic writing process and ensure compliance with Brazilian academic standards. It extracts relevant information from scientific PDFs, organizes the content, and formats references according to ABNT guidelines. Ideal for students, researchers, and academics requiring accurate and efficient citation management in their papers.

Canonical page: https://skillsregistry.net/skills/werverton-mcp-academico  
JSON: https://api.skillsregistry.net/v1/skills/werverton-mcp-academico

## Description

Assists in writing academic papers by extracting, organizing, and referencing scientific PDFs with ABNT formatting.

## 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:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l1kj880p8e)
- **Repository:** <https://github.com/Werverton/mcp-academico>

## 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": "werverton-mcp-academico"
    }
  }
}
```

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