Docling

v1.0.0Data Science & MLstable

MCP server for docling

data-science-tools
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What is Docling?

Docling is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for docling

MCP server for docling

This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • MCP server for docling

Use Cases

Parse and extract document content
Convert documents to structured formats
Community

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

NPM

npx -y docling

Manual Installation

npx -y docling

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Docling

What is Docling?

Docling is a Model Context Protocol (MCP) server that mcp server for docling It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Docling?

Install via npm with the command: npx -y docling. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

Which AI clients work with Docling?

Docling works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Docling free to use?

Yes, Docling is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Data Science & ML MCP Servers

Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "docling": { "command": "npx", "args": ["-y", "docling"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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