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Document Parser

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

Connector by agenson-horrowitz · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)
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Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/agenson-horrowitz-document-parser

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

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

Reviews

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Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
5 read · 0 write · 0 deleteRead-only
Secrets
None asked for
Install scripts
Not scanned yet
Runs as
Node.js package

Tools by what they do 5

Read from the source code; the running server may list different tools.

Read 5 · Look things up without changing anything.

  • extract_tables
  • html_to_markdown
  • parse_image_text
  • parse_pdf
  • summarize_document

Files it touches

  • Any path the agent passes to its tools

Tools (5)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • extract_tables

    Extract tables from any supported document format as structured JSON. Handles PDF tables, HTML tables, CSV-like structures in text. Returns clean tabular data perfect for agent analysis and processing.

  • html_to_markdown

    Convert HTML documents to clean, structured markdown. Preserves headings, links, tables, lists. Perfect for agents that need to process HTML content in LLM-friendly format. Handles complex HTML structures intelligently.

  • parse_image_text

    Perform OCR on images to extract text with confidence scores. Supports screenshots, scanned documents, photos of text. Returns structured text with confidence metrics. Essential for agents processing visual content.

  • parse_pdf

    Extract text, tables, and metadata from PDF files with layout preservation. Perfect for agents processing reports, invoices, contracts, research papers. Handles multi-page documents, preserves formatting, extracts embedded metadata.

  • summarize_document

    Parse any document and generate a structured summary with configurable detail level. Extracts key information, main points, and metadata. Perfect for agents that need document overviews before detailed processing.

Signals

Stars
0
Forks
1
Open issues
0
Weekly downloads
21
Last commit
Apr 2, 2026 (6 months ago)
Last release
Apr 2, 2026 (6 months ago)
Last package publish
Apr 2, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.agenson-horrowitz/document-parser
Version
1.0.8
Auth
No auth
Packages
npm @agenson-horrowitz/document-parser-mcp
License
MIT
Repository
github.com/agenson-tools/document-parser-mcp
First seen
Oct 24, 2026
Last checked
Oct 25, 2026
Source
Official MCP Registrygithub-graphql

More from agenson-horrowitz

Cite this page

Document Parser MCP server. Agent Mart. https://agentmart.dev/connectors/agenson-horrowitz-document-parser (last updated 2026-10-25)