Compdf MCP Server
PDF and image conversion, parsing, and data extraction for efficient AI workflows.
Data last scanned today · Reviewed today
Overview
ComPDF MCP serves as a pre-processing layer for document-heavy AI agent workflows. It focuses on transforming raw, noisy PDFs and images into cleaner, structured data before ingestion, which helps reduce token consumption, lowers overall operational costs, and improves the consistency of model outputs. The server organizes its functionality into three core pillars: comprehensive document conversion, specialized PDF operations, and intelligent data extraction. It is designed to handle common document types like reports, invoices, and contracts, making it a viable tool for users looking to optimize their document processing pipeline before sending content to an AI for complex analysis or summarization.
Our verdict
This server receives a security score of 38/100, indicating a high risk level that users should carefully evaluate. Because it is a community-maintained project rather than an official vendor release, it has not yet undergone editorial review or thorough security validation regarding its authentication methods and read-only operations. It is best suited for experimental or low-stakes environments where testing document-processing workflows is the priority over production stability.
- Supports direct conversion and extraction for PDF and image files.
- Features a clean supply chain with zero direct dependencies.
- Licensed under the permissive Apache-2.0 open source license.
- Provides documented use cases for reports, invoices, and tables.
- High security risk due to lack of official vendor maintenance.
- Authentication and read-only modes have not been editorially reviewed.
- Low contributor count presents a potential bus-factor risk.
Tools
| Tool | Description | Risk |
|---|---|---|
| pdf_to_word | Convert PDF files into editable Word documents while preserving the original layout, text, images, and formatting as much as possible. | medium |
| pdf_to_excel | Convert PDF files into Excel workbooks with support for tables, numbers, and structured business data. | medium |
| pdf_to_slide | Convert PDF pages into editable PowerPoint slides while preserving the original layout and visual structure as much as possible. | medium |
| pdf_to_html | Convert PDF files into HTML for web display and content reuse while retaining text, images, tables, and layout. | medium |
| pdf_to_rtf | Convert PDF files into RTF documents with support for text and image content. | medium |
| pdf_to_image | Convert PDF pages into PNG or JPG images with configurable resolution and DPI. | medium |
| pdf_to_csv | Extract tables from PDF files and export them as CSV, either table by table or as merged output. | medium |
| pdf_to_txt | Extract text from PDF or scanned PDF files and save it as plain text. | medium |
| pdf_to_json | Extract text, tables, and images from PDF files and save them as structured JSON. | medium |
| pdf_to_markdown | Convert PDF files into Markdown for easier reuse in knowledge bases, developer docs, blog systems, and AI workflows. | medium |
Compatibility
| Client | Local | Docker | Remote | Read-only |
|---|---|---|---|---|
| Claude Desktop | ||||
| Cursor | ||||
| VS Code | ||||
| Windsurf | ||||
| ChatGPT |
Frequently asked questions
›What types of files can ComPDF MCP process?
The server supports processing both PDF and various image formats for tasks such as conversion, parsing, and data extraction.
›Does the server support containerized deployment?
Yes, Docker support is explicitly indicated for the ComPDF MCP server.
›How does using this server benefit AI workflows?
By pre-processing raw or noisy documents into structured formats, it helps reduce AI token usage, lower costs, and improve the quality of outputs sent to the model.
›Can I extract data from PDFs into structured formats?
Yes, the server supports exporting PDF content into formats like JSON, Markdown, Excel, and CSV to facilitate data extraction.
›Does ComPDF MCP handle scanned documents?
Yes, it provides OCR capabilities to convert scanned PDFs into searchable, selectable, and copyable PDF files.
Alternatives
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