Is KDAN PDF MCP free?
Yes — completely free and unlimited, with no upsell and no credit card required.
@KDAN-PDF
基本信息
KDAN PDF MCP is a remote MCP server that lets users prepare PDFs with natural-language instructions. In supported AI assistants such as Claude or ChatGPT, users can ask KDAN PDF MCP to compress large files, remove selected pages, redact sensitive information, compare document ver
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"kdan-pdf-mcp": {
"type": "http",
"url": "https://mcp.kdandoc.com/mcp"
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,直接连接服务器端点实时获取工具列表。
KDAN PDF MCP is a remote MCP server that lets users prepare PDFs using natural-language instructions within AI assistants such as Claude and ChatGPT. It connects KDAN PDF's editing tools to the assistant, enabling file management entirely through chat.
No installation or account is needed. Paste the connector URL https://mcp.kdandoc.com/mcp into your AI assistant's connectors settings, then complete the authorization flow. Once connected, describe your PDF task in plain language (e.g., "Compress this PDF and remove page 3").
Yes — completely free and unlimited, with no upsell and no credit card required.
Yes. Once national IDs, credit cards, emails and phone numbers are detected, KDAN PDF MCP applies permanent, compliance‑ready redaction.
On its own, an AI assistant can only read a PDF. KDAN PDF MCP adds full editing — encrypt, delete pages, redact and save new
MCP Workspace Server: A secure Model Context Protocol server providing file, git, and GitHub tools for AI assistants within a sandboxed project directory.
MCP server that exposes a V8 JavaScript runtime as a tool for AI agents like Claude and Cursor. Supports persistent heap snapshots via S3 or local filesystem, and is ready for integration with modern AI development environments.
📄 The PDF intelligence layer for AI agents — Agent Document Twin, evidence-first extraction, visual crops, OCR provenance, trust reports, and benchmark-gated releases. MCP server for Claude, Cursor, VS Code, and any MCP client.

Model Context Protocol Servers
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