nudocs-mcp-server
Enables document processing and editing using Nudocs.ai, including listing, reading, uploading, downloading, and modifying documents through natural language.
README
Nudocs MCP Server
An MCP (Model Context Protocol) server for Nudocs.ai - a document processing service by Nutrient.
Features
This MCP server provides the following tools for working with Nudocs documents:
- list_documents - List all Nudocs documents
- read_document - Read document content as Markdown
- get_document_access_link - Get a shareable access link to a document
- download_document - Download documents in various formats
- upload_file - Upload files to Nudocs
- delete_document - Delete documents by ID
- list_top_level_elements - List top-level elements with IDs and text previews
- find_elements_by_text - Find element IDs by visible text
- replace_paragraph_text - Replace paragraph text while preserving inline formatting when possible
- insert_paragraph_text - Insert one plain-text paragraph at an anchor
- insert_table - Insert a table from plain-text cells
- move_element - Move one paragraph/table before or after a target paragraph
- delete_element - Delete one paragraph, table, or image by ID
- set_paragraph_style - Set paragraph style (
normal, headings, bullet/number list) - insert_image - Insert one image from URL at an anchor
Recommended Edit Workflow
- Discover IDs with
list_top_level_elementsorfind_elements_by_text. - Apply the specific edit tool for the operation you want.
- Verify result with
read_document.
All editing tools use object-only payloads and simple, LLM-friendly inputs.
{
"documentId": "01H...",
"text": "Anchor paragraph."
}
{
"documentId": "01H...",
"id": "p-AAAAAAAAAAAAAAAAAAAAAA",
"text": "Updated text"
}
{
"documentId": "01H...",
"anchorId": "p-AAAAAAAAAAAAAAAAAAAAAA",
"edge": "end",
"rows": [
["A1", "B1"],
["A2", "B2"]
]
}
The first payload above is a complete find_elements_by_text call. The second is a
replace_paragraph_text call. The third is an insert_table call.
Successful edit responses include summary plus machine-readable metadata:
affectedElementIds, idMap, and invalidatedSelectors.
If Nudocs returns a conflict (EDIT_CONFLICT), the MCP error payload includes structured
details such as latest version/revision hints.
Supported File Formats
Input formats (upload):
- Markdown (
.md) - HTML (
.html,.xhtml) - LaTeX (
.latex,.tex) - reStructuredText (
.rst) - Org mode (
.org) - Textile (
.textile) - DocBook XML
- EPUB (
.epub) - MediaWiki (
.wiki) - Jupyter Notebook (
.ipynb) - OpenDocument Text (
.odt) - Microsoft Word (
.doc,.docx) - Rich Text Format (
.rtf) - Plain Text (
.txt) - PDF (
.pdf)
Output formats (download):
- Markdown (
.md) - HTML (
.html,.xhtml) - LaTeX (
.latex,.tex) - PDF (
.pdf) - reStructuredText (
.rst) - Org mode (
.org) - Textile (
.textile) - DocBook XML
- EPUB (
.epub) - Microsoft Word (
.doc,.docx) - OpenDocument Text (
.odt) - Rich Text Format (
.rtf) - Plain Text (
.txt) - MediaWiki (
.wiki) - AsciiDoc (
.adoc,.asciidoc) - Jupyter Notebook (
.ipynb)
Prerequisites
- Node.js >= 18.0.0
- A Nudocs account with an API key (sign up at nudocs.ai)
Configuration
Environment Variables
Set your Nudocs API key:
export NUDOCS_API_KEY=your_api_key_here
You can find your API key in your Nudocs account settings.
Integration
Claude Desktop
Add this server to your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"nudocs": {
"command": "npx",
"args": ["-y", "@nutrient-sdk/nudocs-mcp-server"],
"env": {
"NUDOCS_API_KEY": "your_api_key_here"
}
}
}
}
After updating the configuration, completely quit and restart Claude Desktop. You'll see an MCP indicator in the bottom-right corner of the chat input when successfully connected.
Claude Code
Claude Code supports three configuration levels:
Local Configuration (Project-specific)
Create .mcp.json in your project root:
{
"mcpServers": {
"nudocs": {
"command": "npx",
"args": ["-y", "@nutrient-sdk/nudocs-mcp-server"],
"env": {
"NUDOCS_API_KEY": "your_api_key_here"
}
}
}
}
Global Configuration (All projects)
Create or edit ~/.claude.json:
{
"mcpServers": {
"nudocs": {
"command": "npx",
"args": ["-y", "@nutrient-sdk/nudocs-mcp-server"],
"env": {
"NUDOCS_API_KEY": "your_api_key_here"
}
}
}
}
Using the CLI
You can also use Claude Code's built-in configuration wizard:
claude mcp add --transport stdio nudocs --env NUDOCS_API_KEY=YOUR_KEY -- npx -y @nutrient-sdk/nudocs-mcp-server
OpenAI Codex
OpenAI Codex supports MCP servers through its CLI and IDE extension.
Using the CLI
The easiest way to add the Nudocs MCP server:
codex mcp add nudocs --env NUDOCS_API_KEY=YOUR_KEY -- npx -y @nutrient-sdk/nudocs-mcp-server
Manual Configuration
Edit ~/.codex/config.toml to add the server:
[mcp.nudocs]
command = "npx"
args = ["-y", "@nutrient-sdk/nudocs-mcp-server"]
[mcp.nudocs.env]
NUDOCS_API_KEY = "your_api_key_here"
The configuration file is shared between the Codex CLI and IDE extension, so you only need to configure it once.
For more information, visit the OpenAI Codex MCP documentation.
Development
Building from Source
npm install
npm run build
Running Locally
npm run dev
Unit Tests
npm run test:unit
Testing with MCP Inspector
The MCP Inspector allows you to test the server interactively:
npm run inspector
Issues & Support
Report issues at: https://github.com/PSPDFKit/nudocs-mcp-server/issues
License
See LICENSE file for details.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.