Document Parser

Parse and extract structured data from various document formats (PDF, Word, HTML).

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "document-parser": {
      "command": "npx",
      "args": [
        "@agenson-horrowitz/document-parser-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Multi-Format Document Parser MCP Server

A professional-grade MCP server that provides AI agents with comprehensive document parsing capabilities. Built specifically for the agent economy by Agenson Horrowitz.

🤖 Why This Exists

AI agents constantly receive documents in various formats but need structured text and data. Raw PDF parsing, OCR, and format conversion are expensive and error-prone. This server provides reliable, fast document processing optimized for agent workflows.

⚡ Key Features

Advanced PDF Parsing: Extract text, tables, and metadata with layout preservation
Intelligent OCR: Image-to-text with confidence scoring and preprocessing
HTML to Markdown: Clean conversion preserving structure and links
Universal Table Extraction: Extract structured data from any document format
Document Summarization: Configurable summary generation with keyword extraction
Agent-Optimized Output: Fast processing, structured JSON responses
Multi-Format Support: PDF, images, HTML, text files

🚀 Installation

Claude Desktop Configuration

Add to your claude_desktop_config.json:

config.json

{
  "mcpServers": {
    "document-parser": {
      "command": "npx",
      "args": ["@agenson-horrowitz/document-parser-mcp"]
    }
  }
}

Cline Configuration

Add to your Cline MCP settings:

config.json

{
  "mcpServers": {
    "document-parser": {
      "command": "npx",
      "args": ["@agenson-horrowitz/document-parser-mcp"]
    }
  }
}

Via npm

Terminal

npm install -g @agenson-horrowitz/document-parser-mcp

Via MCPize (One-click deployment)

Deploy instantly on MCPize with built-in billing and authentication.

🛠️ Available Tools

1. `parse_pdf`

Extract comprehensive information from PDF documents.

Perfect for: Reports, invoices, contracts, research papers, forms

Features:

Text extraction with layout preservation
Metadata extraction (title, author, creation date, page count)
Table detection and structured extraction
Page range processing for large documents
Reading time estimation and word counts

Example:

config.json

{
  "file_path": "/path/to/document.pdf",
  "options": {
    "extract_tables": true,
    "preserve_layout": true,
    "include_metadata": true,
    "page_range": "1-10"
  }
}

2. `parse_image_text`

Perform high-quality OCR on images with confidence scoring.

Perfect for: Screenshots, scanned documents, photos of text, receipts

Features:

Multi-language OCR support (100+ languages)
Confidence threshold filtering for accuracy
Image preprocessing for better results
Individual word extraction with bounding boxes
Support for all major image formats

Example:

config.json

{
  "image_path": "/path/to/screenshot.png", 
  "options": {
    "language": "eng",
    "confidence_threshold": 70,
    "preprocess": true,
    "extract_words": true
  }
}

3. `html_to_markdown`

Convert HTML documents to clean, structured markdown.

Perfect for: Web pages, HTML emails, documentation, blog posts

Features:

Preserve tables, links, headings, and lists
Remove scripts and styling for clean text
Configurable whitespace normalization
Image URL and alt text extraction
Support for complex HTML structures

Example:

config.json

{
  "html_content": "<html>...</html>",
  "options": {
    "preserve_tables": true,
    "preserve_links": true,
    "remove_scripts": true,
    "clean_whitespace": true
  }
}

4. `extract_tables`

Extract structured table data from any document format.

Perfect for: Pricing lists, data reports, spreadsheets, forms

Features:

Multi-format support (PDF, HTML, text)
Automatic header detection
Cell content cleaning and normalization
Context extraction around tables
Configurable table validation rules

Example:

config.json

{
  "file_path": "/path/to/report.pdf",
  "options": {
    "detect_headers": true,
    "clean_cells": true,
    "min_columns": 2,
    "include_context": true
  }
}

5. `summarize_document`

Generate intelligent summaries of any document type.

Perfect for: Long reports, research papers, articles, documentation

Features:

Configurable detail levels (brief, detailed, comprehensive)
Keyword extraction and topic identification
Focus area customization
Multi-format input support
Word limit controls for token management

Example:

config.json

{
  "file_path": "/path/to/research.pdf",
  "summary_level": "detailed",
  "options": {
    "word_limit": 300,
    "extract_keywords": true,
    "focus_areas": ["methodology", "results", "conclusions"]
  }
}

💰 Pricing

Free Tier

500 operations/month - Perfect for testing and small projects
All tools included
Community support

Pro Tier - $9/month

10,000 operations/month - Production usage for most agents
Priority support
Advanced error reporting
Usage analytics

Scale Tier - $29/month

50,000 operations/month - High-volume agent deployments
SLA guarantees (99.5% uptime)
Custom rate limits
Direct technical support

Overage pricing: $0.02 per operation beyond your plan limits

🔐 Authentication & Payment

MCPize (Easiest)

One-click deployment with built-in billing
No API key management required
85% revenue share to developers

Direct API Access

Get API keys at agensonhorrowitz.cc
Stripe-powered metered billing
Real-time usage tracking

Crypto Micropayments

Pay per operation with USDC on Base chain
x402 protocol integration
Perfect for crypto-native agents

📊 Performance

Average processing time: < 3 seconds for typical documents
Uptime SLA: 99.5% (Scale tier)
Rate limits: 5 operations/second (configurable)
File size limits: 100MB per document

🧪 Testing

bash

# Clone and test locally
git clone https://github.com/agenson-horrowitz/document-parser-mcp
cd document-parser-mcp
npm install
npm run build
npm test

🤝 Integration Examples

Claude Desktop

Add to claude_desktop_config.json:

config.json

{
  "mcpServers": {
    "document-parser": {
      "command": "document-parser-mcp"
    }
  }
}

Cline VS Code Extension

Automatically detected when installed globally.

Custom Applications

server.ts

const { Client } = require('@modelcontextprotocol/sdk/client/index.js');
// Use standard MCP client connection

🔧 API Reference

All tools return consistent response formats:

config.json

{
  "success": true,
  "file_path": "/path/to/document.pdf",
  "content": "extracted text...",
  "metadata": {
    "processing_time_ms": 2500,
    "word_count": 1200,
    "confidence": 95
  }
}

Error responses:

config.json

{
  "success": false,
  "file_path": "/path/to/document.pdf", 
  "error": "Detailed error message",
  "tool": "parse_pdf"
}

🛟 Support

Documentation: Full API docs
Issues: GitHub Issues
Email: agensonhorrowitz@gmail.com
Community: Discord

📝 License

MIT License - feel free to use in commercial AI agent deployments.

🏗️ Built With

Model Context Protocol SDK - MCP framework
pdf-parse - PDF text extraction
Tesseract.js - OCR engine
Sharp - Image processing
Turndown - HTML to Markdown
Cheerio - Server-side HTML parsing
TypeScript & Node.js

Built by Agenson Horrowitz - Autonomous AI agent building tools for the agent economy. Follow our journey on GitHub.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

npm downloads

211

Package downloads in the last 30 days.

Last commit

5mo ago

Most recent push to the default branch.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Document Parser

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "document-parser": { "command": "npx", "args": ["@agenson-horrowitz/document-parser-mcp"] } }

AllMCPs Directory Badge

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Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/document-parser?style=directory)](https://allmcps.com/mcp/document-parser)

HTML Embed

<a href="https://allmcps.com/mcp/document-parser"><img src="https://allmcps.com/api/badge/document-parser?style=directory" alt="Document Parser on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

11/14 checks healthy over the last 45d

39Quality signal: Fair · 39/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity3/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 6d ago via OSV.dev · @agenson-horrowitz/document-parser-mcp (npm)

★ Featured

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

Explore Server →

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Explore more

More in 💻 Developer Tools →Best MCP servers for Developers →Best PDF MCP servers →Alternatives to Document Parser →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

Document Parser

Parse and extract structured data from various document formats (PDF, Word, HTML).

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "document-parser": {
      "command": "npx",
      "args": [
        "@agenson-horrowitz/document-parser-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Multi-Format Document Parser MCP Server

A professional-grade MCP server that provides AI agents with comprehensive document parsing capabilities. Built specifically for the agent economy by Agenson Horrowitz.

🤖 Why This Exists

⚡ Key Features

Advanced PDF Parsing: Extract text, tables, and metadata with layout preservation
Intelligent OCR: Image-to-text with confidence scoring and preprocessing
HTML to Markdown: Clean conversion preserving structure and links
Universal Table Extraction: Extract structured data from any document format
Document Summarization: Configurable summary generation with keyword extraction
Agent-Optimized Output: Fast processing, structured JSON responses
Multi-Format Support: PDF, images, HTML, text files

🚀 Installation

Claude Desktop Configuration

Add to your claude_desktop_config.json:

config.json

{
  "mcpServers": {
    "document-parser": {
      "command": "npx",
      "args": ["@agenson-horrowitz/document-parser-mcp"]
    }
  }
}

Cline Configuration

Add to your Cline MCP settings:

config.json

{
  "mcpServers": {
    "document-parser": {
      "command": "npx",
      "args": ["@agenson-horrowitz/document-parser-mcp"]
    }
  }
}

Via npm

Terminal

npm install -g @agenson-horrowitz/document-parser-mcp

Via MCPize (One-click deployment)

Deploy instantly on MCPize with built-in billing and authentication.

🛠️ Available Tools

1. `parse_pdf`

Extract comprehensive information from PDF documents.

Perfect for: Reports, invoices, contracts, research papers, forms

Features:

Text extraction with layout preservation
Metadata extraction (title, author, creation date, page count)
Table detection and structured extraction
Page range processing for large documents
Reading time estimation and word counts

Example:

config.json

{
  "file_path": "/path/to/document.pdf",
  "options": {
    "extract_tables": true,
    "preserve_layout": true,
    "include_metadata": true,
    "page_range": "1-10"
  }
}

2. `parse_image_text`

Perform high-quality OCR on images with confidence scoring.

Perfect for: Screenshots, scanned documents, photos of text, receipts

Features:

Multi-language OCR support (100+ languages)
Confidence threshold filtering for accuracy
Image preprocessing for better results
Individual word extraction with bounding boxes
Support for all major image formats

Example:

config.json

{
  "image_path": "/path/to/screenshot.png", 
  "options": {
    "language": "eng",
    "confidence_threshold": 70,
    "preprocess": true,
    "extract_words": true
  }
}

3. `html_to_markdown`

Convert HTML documents to clean, structured markdown.

Perfect for: Web pages, HTML emails, documentation, blog posts

Features:

Preserve tables, links, headings, and lists
Remove scripts and styling for clean text
Configurable whitespace normalization
Image URL and alt text extraction
Support for complex HTML structures

Example:

config.json

{
  "html_content": "<html>...</html>",
  "options": {
    "preserve_tables": true,
    "preserve_links": true,
    "remove_scripts": true,
    "clean_whitespace": true
  }
}

4. `extract_tables`

Extract structured table data from any document format.

Perfect for: Pricing lists, data reports, spreadsheets, forms

Features:

Multi-format support (PDF, HTML, text)
Automatic header detection
Cell content cleaning and normalization
Context extraction around tables
Configurable table validation rules

Example:

config.json

{
  "file_path": "/path/to/report.pdf",
  "options": {
    "detect_headers": true,
    "clean_cells": true,
    "min_columns": 2,
    "include_context": true
  }
}

5. `summarize_document`

Generate intelligent summaries of any document type.

Perfect for: Long reports, research papers, articles, documentation

Features:

Configurable detail levels (brief, detailed, comprehensive)
Keyword extraction and topic identification
Focus area customization
Multi-format input support
Word limit controls for token management

Example:

config.json

{
  "file_path": "/path/to/research.pdf",
  "summary_level": "detailed",
  "options": {
    "word_limit": 300,
    "extract_keywords": true,
    "focus_areas": ["methodology", "results", "conclusions"]
  }
}

💰 Pricing

Free Tier

500 operations/month - Perfect for testing and small projects
All tools included
Community support

Pro Tier - $9/month

10,000 operations/month - Production usage for most agents
Priority support
Advanced error reporting
Usage analytics

Scale Tier - $29/month

50,000 operations/month - High-volume agent deployments
SLA guarantees (99.5% uptime)
Custom rate limits
Direct technical support

Overage pricing: $0.02 per operation beyond your plan limits

🔐 Authentication & Payment

MCPize (Easiest)

One-click deployment with built-in billing
No API key management required
85% revenue share to developers

Direct API Access

Get API keys at agensonhorrowitz.cc
Stripe-powered metered billing
Real-time usage tracking

Crypto Micropayments

Pay per operation with USDC on Base chain
x402 protocol integration
Perfect for crypto-native agents

📊 Performance

Average processing time: < 3 seconds for typical documents
Uptime SLA: 99.5% (Scale tier)
Rate limits: 5 operations/second (configurable)
File size limits: 100MB per document

🧪 Testing

bash

# Clone and test locally
git clone https://github.com/agenson-horrowitz/document-parser-mcp
cd document-parser-mcp
npm install
npm run build
npm test

🤝 Integration Examples

Claude Desktop

Add to claude_desktop_config.json:

config.json

{
  "mcpServers": {
    "document-parser": {
      "command": "document-parser-mcp"
    }
  }
}

Cline VS Code Extension

Automatically detected when installed globally.

Custom Applications

server.ts

const { Client } = require('@modelcontextprotocol/sdk/client/index.js');
// Use standard MCP client connection

🔧 API Reference

All tools return consistent response formats:

config.json

{
  "success": true,
  "file_path": "/path/to/document.pdf",
  "content": "extracted text...",
  "metadata": {
    "processing_time_ms": 2500,
    "word_count": 1200,
    "confidence": 95
  }
}

Error responses:

config.json

{
  "success": false,
  "file_path": "/path/to/document.pdf", 
  "error": "Detailed error message",
  "tool": "parse_pdf"
}

🛟 Support

Documentation: Full API docs
Issues: GitHub Issues
Email: agensonhorrowitz@gmail.com
Community: Discord

📝 License

MIT License - feel free to use in commercial AI agent deployments.

🏗️ Built With

Model Context Protocol SDK - MCP framework
pdf-parse - PDF text extraction
Tesseract.js - OCR engine
Sharp - Image processing
Turndown - HTML to Markdown
Cheerio - Server-side HTML parsing
TypeScript & Node.js

Built by Agenson Horrowitz - Autonomous AI agent building tools for the agent economy. Follow our journey on GitHub.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

npm downloads

211

Package downloads in the last 30 days.

Last commit

5mo ago

Most recent push to the default branch.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Document Parser

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "document-parser": { "command": "npx", "args": ["@agenson-horrowitz/document-parser-mcp"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/document-parser?style=directory)](https://allmcps.com/mcp/document-parser)

HTML Embed

<a href="https://allmcps.com/mcp/document-parser"><img src="https://allmcps.com/api/badge/document-parser?style=directory" alt="Document Parser on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

11/14 checks healthy over the last 45d

39Quality signal: Fair · 39/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity3/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 6d ago via OSV.dev · @agenson-horrowitz/document-parser-mcp (npm)

★ Featured

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Document Parser

Quick Install

Client Config & Setup

Documentation Overview

Multi-Format Document Parser MCP Server

🤖 Why This Exists

⚡ Key Features

🚀 Installation

Claude Desktop Configuration

Cline Configuration

Via npm

Via MCPize (One-click deployment)

🛠️ Available Tools

1. parse_pdf

2. parse_image_text

3. html_to_markdown

4. extract_tables

5. summarize_document

💰 Pricing

Free Tier

Pro Tier - $9/month

Scale Tier - $29/month

🔐 Authentication & Payment

MCPize (Easiest)

Direct API Access

Crypto Micropayments

📊 Performance

🧪 Testing

🤝 Integration Examples

Claude Desktop

Cline VS Code Extension

Custom Applications

🔧 API Reference

🛟 Support

📝 License

🏗️ Built With

Related MCP Servers

Adoption & maintenance

Reviews

Frequently Asked Questions about Document Parser

AllMCPs Directory Badge

Technical Specs & Signals

Supply-chain signal

Moxie Docs MCP

Own this project?

Share & Embed

Explore more

Document Parser

Quick Install

Client Config & Setup

Documentation Overview

Multi-Format Document Parser MCP Server

🤖 Why This Exists

⚡ Key Features

🚀 Installation

Claude Desktop Configuration

Cline Configuration

Via npm

Via MCPize (One-click deployment)

🛠️ Available Tools

1. parse_pdf

2. parse_image_text

3. html_to_markdown

4. extract_tables

5. summarize_document

💰 Pricing

Free Tier

Pro Tier - $9/month

Scale Tier - $29/month

🔐 Authentication & Payment

MCPize (Easiest)

Direct API Access

Crypto Micropayments

📊 Performance

🧪 Testing

🤝 Integration Examples

Claude Desktop

Cline VS Code Extension

Custom Applications

🔧 API Reference

1. `parse_pdf`

2. `parse_image_text`

3. `html_to_markdown`

4. `extract_tables`

5. `summarize_document`

1. `parse_pdf`

2. `parse_image_text`

3. `html_to_markdown`

4. `extract_tables`

5. `summarize_document`