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ENJA

compdf-mcp

MCP Server

ComPDFKit/compdf-mcp

ComPDF MCP is a comprehensive Model Context Protocol service that provides extensive PDF and image conversion, editing, and intelligent data extraction capabilities.

98 8Apache-2.0Updated 2026-08-06

Overview

Designed to optimize document-heavy AI workflows, ComPDF MCP processes complex, noisy PDFs and images into structured, lightweight formats like Markdown, JSON, or plain text before they reach AI models. This preprocessing pipeline reduces token consumption, minimizes processing costs, and improves downstream automation performance across a wide range of document operations.

Capabilities

  • PDF to Word, Excel, PowerPoint, HTML, RTF, CSV, TXT, JSON, Markdown, and OFD conversion
  • Word, Excel, PowerPoint, HTML, RTF, TXT, CSV, and PNG/Image to PDF conversion
  • Image to Word, Excel, PowerPoint, HTML, RTF, CSV, TXT, and JSON conversion
  • Searchable PDF generation via OCR
  • PDF merging, splitting, rotation, page insertion, deletion, and extraction
  • PDF watermarking, compression, encryption, decryption, and comparison
  • Intelligent document parsing and structured data extraction

Best for

Converting bulk scanned invoices or receipts into structured JSON for automated accounting, Transforming dense PDF reports and research papers into Markdown or plain text to reduce AI token usage, Extracting tables from PDF documents into Excel or CSV formats for data analysis, Merging, splitting, watermarking, and securing PDF files programmatically through AI agents

Works with

Claude CodeCursorGitHub CopilotOpenCodeChatGPTGemini CLI
Evoa Score breakdown= Σ (score × weight)
84
Task usefulness20%100 → +20.0

実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 AIによるcapabilities/use-cases解析

Code quality15%90 → +13.5

実装・指示の品質。 AIによるSKILL.md/README解析

Maintenance15%100 → +15.0

リポジトリがどれだけ活発に保守されているか。 GitHub 最終push日時の新しさ

Documentation12%49 → +5.9

ドキュメントの充実度・分かりやすさ。 README/独自要約の情報量

Security15%80 → +12.0

危険・不審な挙動が無いか。 AIによるセキュリティレビュー

Originality10%85 → +8.5

ありふれたラッパーではない独自性。 AIによる独自性判定

Popularity8%52 → +4.2

コミュニティの採用度。 GitHub Stars/Forks(対数スケール)

Compatibility5%100 → +5.0

対応AIエージェントの広さ。 AIによる対応エージェント判定

Weighted total84.0 / 100

ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →

Security considerations

The service accepts documents and images for processing. Ensure sensitive or regulated data handled through the parser complies with relevant privacy and compliance policies.

Categories

Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.