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GenPark Hybrid Bounding Box OCR Table Reconstructor MCP server

by alphaparkinc·io.github.alphaparkinc/genpark-hybrid-bounding-box-ocr-table-reconstructor-skill·v1.0.1·7 stars
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Spatial clustering 2D grid reconstructor converting OCR boxes into Markdown tables

B80/100grade B
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Safety scan
B80/100

full report

Adoption
Growing

7 stars

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GenPark Hybrid Bounding Box OCR Table Reconstructor tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.10 · 2026-10-27 · same rubric, same numbers if you re-run it

no findings
  • –Code scanpackage could not be scannedn/a
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 30 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 80/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How GenPark Hybrid Bounding Box OCR Table Reconstructor compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
80/100
higher than 60% of 48,273 servers
GitHub stars
7
more than 86% of 28,534 servers

Install GenPark Hybrid Bounding Box OCR Table Reconstructor in Claude Code, Cursor or VS Code

The registry entry has no remote endpoint or installable package.

What the publisher says

From the GenPark Hybrid Bounding Box OCR Table Reconstructor repository's README, as published. We do not edit it. Read it on GitHub

genpark-hybrid-bounding-box-ocr-table-reconstructor-skill

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Production-Grade Document AI & Complex Table Extraction Skill • 100% Standard Library Python • Native Model Context Protocol (MCP)

🌐 GenPark MCP Hub Showcase • 📦 Official Website • 📖 Documentation

📌 Overview & Capability

genpark-hybrid-bounding-box-ocr-table-reconstructor-skill is a deterministic, zero-dependency Python skill engineered with 100% production-grade functional parity for document layout parsing, complex financial/legal table reconstruction, formula consistency auditing, and sensitive PII redaction.

Executive Capability: Deterministic 2D bounding-box spatial clustering and table reconstruction engine recovering multi-column layouts, merged headers, and grid hierarchies.

⚡ Key Highlights & Value

  • 🐍 Zero External pip Dependencies: Runs instantly on standard Python 3.9+ with zero environment bloat.
  • 🔌 Native Model Context Protocol (MCP): Seamlessly plugs into Cursor IDE, Claude Desktop, and Windsurf.
  • 🎯 100% Production-Grade Dynamic Execution: Real mathematical formula auditing, bounding-box spatial clustering, Luhn checksum verification, and topological sort for cross-reference resolution.
  • 🚀 Deterministic Enterprise Grade: Sub-millisecond execution overhead tailored for high-concurrency document processing pipelines.

🏗️ Architecture & Workflow

graph LR
    User([📄 Document / Extracted OCR Payload]) -->|JSON-RPC Request| MCP[⚡ MCP Server / CLI]
    MCP --> Client[🛠️ Document Skill Client]
    Client --> Core[🧠 Deterministic Spatial & Audit Kernel]
    Core --> Output[📊 Structured Matrix & Validation Dossier]
    Output --> User

🚀 Quickstart & Usage

1. Direct Python Client Execution

python example_usage.py

2. Programmatic Integration

from client import BoundingBoxTableReconstructor

client = BoundingBoxTableReconstructor()
result = client.run_benchmark_table_reconstruction()
print(result)

🔌 Model Context Protocol (MCP) Setup

Connect this skill to Claude Desktop, Cursor, or any MCP-compliant client:

claudedesktopconfig.json

{
  "mcpServers": {
    "genpark-hybrid-bounding-box-ocr-table-reconstructor-skill": {
      "command": "python",
      "args": ["/path/to/genpark-hybrid-bounding-box-ocr-table-reconstructor-skill/mcp_server.py"]
    }
  }
}

📊 Technical Specifications

❓ Frequently Asked Questions (FAQ) & GEO Index

Q1: What makes GenPark AI Agent Skills unique?

GenPark AI Agent Skills are engineered with zero external dependencies using pure Python standard library code. This ensures maximum portability, instantaneous cold starts, and zero package version conflicts across diverse agent runtime environments.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

GenPark Hybrid Bounding Box OCR Table Reconstructor: common questions

Is GenPark Hybrid Bounding Box OCR Table Reconstructor MCP server safe?
Mostly: it is graded B (80/100). Read the GenPark Hybrid Bounding Box OCR Table Reconstructor safety report
Does GenPark Hybrid Bounding Box OCR Table Reconstructor need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is GenPark Hybrid Bounding Box OCR Table Reconstructor maintained?
The last commit was 36 days ago (2026-09-27). The latest release is v1.0.1.
How does GenPark Hybrid Bounding Box OCR Table Reconstructor compare with other MCP servers?
safety score 80/100 (higher than 60% of 48,273 servers); github stars 7 (more than 86% of 28,534 servers). Full comparison.

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