Superdocs

Name: Superdocs
Author: superdocsapp

@superdocsapp

关于 Superdocs

A structured-document editor for AI agents. SuperDocs gives your AI 21 MCP tools and 4 workflow prompts to make section-precise edits — bold a specific paragraph, replace a single table cell, restructure a heading — without disturbing surrounding content. Tables, borders, alterna

#document #docx #pdf #html #editing #structural-editing #contract #templates #ai #mcp #style-preservation #ai-document-editor #contract-drafting #contract-review #nda-drafting #document-automation #document-conversion #multimodal-vision #hitl-approval

基本信息

分类

开发工具

传输方式

stdio

发布者

superdocsapp

提交者

Omkar Kadam

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "superdocs": {
      "url": "https://api.superdocs.app/mcp/",
      "headers": {
        "Authorization": "Bearer sk_YOUR_KEY"
      }
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Superdocs?

Superdocs is a structured-document editor that exposes 21 MCP tools and 4 user‑invocable workflow prompts for section‑precise editing of styled documents (.docx, PDF, HTML, Markdown, RTF) via natural language. It is designed for anyone who needs to edit specific paragraphs, table rows, cells, or headings without disturbing surrounding content while preserving formatting across round‑trip exports.

How to use Superdocs?

Install via one of the supported channels: the Claude Code plugin, skills.sh (cross‑tool), Smithery, or manual MCP configuration. Authenticate with a free API key obtained from use.superdocs.app (Settings → API Keys → Create). The free plan includes 500 AI operations per month with no credit card required.

Key features of Superdocs

Section‑precise editing of individual paragraphs, headings, table rows, and cells.
Style preservation (borders, fonts, shading, line spacing) across edits and exports.
Multi‑format input (.docx, PDF, HTML, Markdown, RTF, plain text) and output (.docx, PDF, HTML).
Pre‑signed URL upload/download for files larger than 100KB to keep content out of the context window.
Compact response mode achieving ~140× token reduction for long documents.
Human‑in‑the‑loop approval for each proposed

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