ComPDF MCP

ComPDF MCP is built for MCP clients and AI agent platforms. It provides PDF/image parsing and data extraction, PDF conversion, PDF editing, and image conversion capabilities. It helps users process raw documents first, then pass lighter, cleaner, and more structured results into AI, reducing token usage, lowering AI costs, and improving overall processing efficiency.

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Why Choose ComPDF MCP • Capabilities • Technical Architecture • Quick Start • Deployment and Operations • License and Free Access • Use Cases and Example Prompts • Support

Why Choose ComPDF MCP

The core reason users choose ComPDF MCP is not simply to let AI work with PDFs. It is to process complex, lengthy, and noisy source documents into inputs that are easier for models to understand before handing them off to AI for analysis, summarization, Q&A, or automation.

Raw PDFs, scanned files, and image files are often larger, noisier, and less stable in structure. By using ComPDF MCP for conversion, extraction, and page-level processing first, then sending the results into AI, users can:

• Reduce AI token usage
• Lower AI costs
• Shorten response time
• Improve the quality of structured outputs
• Avoid wasting model budget on noisy raw files
• Handle both PDF and image processing through one MCP service
• Fit document-heavy workflows and multi-platform agent scenarios

This approach is especially valuable when processing reports, contracts, invoices, tables, scanned files, and similar documents in bulk. In these cases, a "process documents first, then call AI" workflow is usually more cost-efficient and better suited for downstream automation than sending original files directly to the model.

Capabilities

ComPDF MCP focuses on three major capability groups: document conversion, PDF operations, and intelligent parsing and data extraction.

1. PDF and Image Conversion

Capability	Description
PDF to Word	Convert PDF files into editable Word documents while preserving the original layout, text, images, and formatting as much as possible.
PDF to Excel	Convert PDF files into Excel workbooks with support for tables, numbers, and structured business data.
PDF to Slide	Convert PDF pages into editable PowerPoint slides while preserving the original layout and visual structure as much as possible.
PDF to HTML	Convert PDF files into HTML for web display and content reuse while retaining text, images, tables, and layout.
PDF to RTF	Convert PDF files into RTF documents with support for text and image content.
PDF to Image	Convert PDF pages into PNG or JPG images with configurable resolution and DPI.
PDF to CSV	Extract tables from PDF files and export them as CSV, either table by table or as merged output.
PDF to TXT	Extract text from PDF or scanned PDF files and save it as plain text.
PDF to JSON	Extract text, tables, and images from PDF files and save them as structured JSON.
PDF to Markdown	Convert PDF files into Markdown for easier reuse in knowledge bases, developer docs, blog systems, and AI workflows.
PDF to Searchable PDF	Run OCR on scanned PDFs and output searchable PDFs with selectable, copyable, and highlightable text for retrieval, archiving, and downstream processing.
PDF to OFD	Convert PDF files into OFD files for OFD archiving, document circulation, and localized office scenarios.
Word to PDF	Convert Word documents into PDF while preserving layout, fonts, images, and page structure as much as possible for sharing, archiving, and printing.
PNG to PDF	Convert PNG images into PDF for easier packaging, sharing, printing, and archiving of screenshots, design files, or supporting image materials.
RTF to PDF	Convert RTF documents into PDF while preserving core text styling and layout for consistent cross-device viewing and formal output.
Excel to PDF	Convert Excel workbooks or spreadsheets into PDF for report sharing, printing, archiving, and preventing accidental formula edits.
TXT to PDF	Convert plain TXT files into PDF, making logs, notes, and text instructions easier to organize as fixed-layout documents.
CSV to PDF	Convert CSV table data into PDF for snapshot sharing, review, printing, and business archiving.
Slide to PDF	Convert PowerPoint presentations into PDF for presentation distribution, cross-device viewing, and formal record keeping.
HTML to PDF	Convert HTML pages or content fragments into PDF for webpage preservation, report export, email archiving, and printable output.
Image to Word	Convert JPG, JPEG, PNG, and BMP image files into editable Word documents.
Image to Excel	Convert image files into Excel workbooks with support for tables, text, and numeric content.
Image to PPT	Convert image files into editable PowerPoint slides while preserving visible layout and content structure as much as possible.
Image to PDF	Convert JPG, JPEG, PNG, BMP, and similar image files into PDF for consolidating, sharing, printing, and archiving one or multiple images.
Image to HTML	Convert image files into HTML while preserving text, layout, tables, and major visual elements as much as possible.
Image to RTF	Convert image files into RTF documents with support for extracted text and images.
Image to CSV	Extract tables from image files and export them as CSV.
Image to TXT	Extract text from image files and save it as plain text.
Image to JSON	Extract text, tables, and images from image files and save them as structured JSON.

2. PDF Editing, Protection, and Comparison

Capability	Description
Merge PDF Files	Combine multiple PDF files into a single PDF document.
Split PDF Files	Split one PDF file into multiple smaller PDF files.
Rotate PDF Pages	Rotate selected PDF pages by 90, 180, or 270 degrees.
Delete PDF Pages	Remove one or more pages from a PDF file.
Insert PDF Pages	Insert pages from another PDF into an existing PDF.
Extract PDF Pages	Extract selected pages or page ranges and save them as a new file.
Convert PDF Standard	Convert a PDF conformance or archival standard.
Add Watermark	Add text or image watermarks to PDF files for branding or usage control.
Remove Watermark	Remove text or image watermarks from supported PDF files.
Compress PDF	Reduce PDF file size for easier storage, upload, and sharing.
Encrypt PDF	Protect PDF files with AES encryption and permission controls.
Decrypt PDF	Remove passwords from authorized PDF files for internal processing or reuse.
Compare PDFs	Compare the content differences between two PDF files.

3. Intelligent Parsing and Data Extraction

Capability	Description
Intelligent Document Parsing	Parse PDFs and images into structured document output for agents, automation workflows, and downstream systems.
Intelligent Data Extraction from PDFs and Images	Extract valuable business data such as text, tables, and content fields from PDFs and images.

Technical Architecture

This project is an MCP Streamable HTTP service built with Python, FastMCP, and Starlette. Tool parameter schemas are generated from the bundled official OpenAPI parameter snapshot, and the service rejects unknown parameters.

Clients can access every tool through the aggregate endpoint:

http://127.0.0.1:8000/mcp

If you only need part of ComPDF MCP, use the module endpoints below:

Module	MCP Endpoint	Business Tools	Representative Tools
PDF and Image Conversion	/mcp/conversion/mcp	28	pdf_to_word, pdf_to_markdown, image_to_json, word_to_pdf, and more
Intelligent Parsing and Data Extraction	/mcp/ai/mcp	2	document_parse, document_extract
PDF Editing, Protection, and Comparison	/mcp/pdf/mcp	13	merge_pdf, add_watermark, encrypt_pdf, compare_pdf, and more
All capabilities	/mcp	44	All tools above

All business tools use a shared file-input shape. Keys in options must use the camelCase parameter names from the ComPDF API documentation. Only htmlFile, templateFile, dataFile, imageFile, and iccFile may be uploaded through special_files.

{
  "files": [
    {
      "filename": "report.pdf",
      "content_base64": "JVBERi0xLjc...",
      "content_type": "application/pdf"
    }
  ],
  "options": {
    "pageRanges": "1-3,6",
    "enableOcr": 1
  },
  "special_files": {
    "imageFile": {
      "filename": "watermark.png",
      "content_base64": "iVBORw0..."
    }
  }
}

The decoded size of an individual Base64 file is limited to 100 MB. Synchronous tool responses include the ComPDF result, the relevant official documentation URL, and a statement that download URLs expire after 24 hours.

Quick Start

1. Install and Run the Service

Prerequisite: Python 3.10+. From the repository root, create a virtual environment and install the package in editable mode.

Windows:

python -m venv .venv
.venv\Scripts\Activate.ps1
pip install -e .
Copy-Item .env.example .env
compdf-streaming-mcp

Linux / macOS:

python3 -m venv .venv
source .venv/bin/activate
pip install -e .
cp .env.example .env
compdf-streaming-mcp

The service listens on 0.0.0.0:8000 by default. Use these endpoints to check its status:

• GET /healthz: service status and mounted MCP routes.
• GET /readyz: readiness status without calling the upstream ComPDF API.
• GET /metrics: request counters in Prometheus text format.

2. Configure the Service

Copy .env.example to .env, then adjust settings for the deployment environment. The server does not store or configure a user's ComPDF API key. Each MCP request supplies that user's key through the X-ComPDF-API-Key header. You can sign up for ComPDF Portal and copy your free API key from the location shown below.

COMPDF_API_BASE_URL=https://api-server.compdf.com/server
COMPDF_API_TIMEOUT_SECONDS=180
MCP_HOST=0.0.0.0
MCP_PORT=8000
MCP_ALLOWED_HOSTS=localhost,localhost:*,127.0.0.1,127.0.0.1:*,mcp.example.com
MCP_RATE_LIMIT_PER_MINUTE=120

For mainland China accounts, use COMPDF_API_BASE_URL=https://api-server.compdf.cn/server. In production, add the reverse-proxy domain to MCP_ALLOWED_HOSTS; include a non-default port or use mcp.example.com:* when appropriate.

3. Configure an MCP Client

The examples below use the unified MCP URL http://127.0.0.1:8000/mcp. For a remote deployment, replace it with the public HTTPS address, for example https://your-domain.example/mcp.

First obtain a personal ComPDF API key (sign up to get your free API key). For clients that use environment variables, set it on the client machine first:

$env:COMPDF_API_KEY = "your-own-compdf-api-key"

Codex

Add the remote MCP service to ~/.codex/config.toml:

[mcp_servers.compdf]
url = "http://127.0.0.1:8000/mcp"
env_http_headers = { "X-ComPDF-API-Key" = "COMPDF_API_KEY" }
tool_timeout_sec = 180

Claude (Claude Code)

Add the following MCP server to the user-level configuration file ~/.claude.json. COMPDF_API_KEY must be available in the terminal session used to start Claude Code:

{
  "mcpServers": {
    "compdf": {
      "type": "http",
      "url": "http://127.0.0.1:8000/mcp",
      "headers": {
        "X-ComPDF-API-Key": "${COMPDF_API_KEY}"
      }
    }
  }
}

If ~/.claude.json already has configuration, merge compdf into the existing mcpServers object instead of overwriting the file.

GitHub Copilot (VS Code)

Run MCP: Open User Configuration from the VS Code Command Palette, or create .vscode/mcp.json in the workspace, then add the following configuration. VS Code prompts for the API key in a password field on first use:

{
  "inputs": [
    {
      "type": "promptString",
      "id": "compdf-api-key",
      "description": "ComPDF API Key",
      "password": true
    }
  ],
  "servers": {
    "compdf": {
      "type": "http",
      "url": "http://127.0.0.1:8000/mcp",
      "headers": {
        "X-ComPDF-API-Key": "${input:compdf-api-key}"
      }
    }
  }
}

Cursor

Open Cursor Settings > Tools & MCP, select New MCP Server, or edit ~/.cursor/mcp.json, then add:

{
  "mcpServers": {
    "compdf": {
      "url": "http://127.0.0.1:8000/mcp",
      "headers": {
        "X-ComPDF-API-Key": "your-own-compdf-api-key"
      }
    }
  }
}

This Cursor configuration stores the key in a local configuration file. Do not commit ~/.cursor/mcp.json or a project-level configuration file that contains the key.

All clients must send X-ComPDF-API-Key with every MCP request. Do not pass the key as a tool argument, URL parameter, or chat message.

4. Asynchronous and Presigned Uploads

In addition to the 44 synchronous business tools, each module provides list_operations and these task tools:

• start_async_operation: invokes the matching /v2/processAsync/... endpoint for long-running or multi-file work.
• get_task_status: queries task status from /v2/task/taskInfo.
• create_presigned_upload, upload_presigned_file, and start_presigned_operation: create a presigned task, upload the file, and start the task in sequence.

Presigned uploads support only operations with one standard file. Use asynchronous mode for PDF merging, comparison, page inserting, and more. The presigned URL remains only in the creating module server's memory and is never exposed as a tool argument or response field.

Deployment and Operations

Build and run the service with Docker Compose:

docker compose up --build

In production, expose the aggregate endpoint as https://your-domain.example/mcp behind an HTTPS reverse proxy, and configure MCP_ENV=production, MCP_PUBLIC_URL, MCP_OAUTH_ISSUER_URL, and MCP_STATIC_TOKENS_JSON. When enabled, clients must also send Authorization: Bearer <token>; this service token is separate from each user's ComPDF API key. See DEPLOYMENT.md for image transfer, HTTPS proxy, update, and rollback instructions.

License and Free Access

ComPDF MCP can be used for free, without purchasing or contacting sales.

• Sign up to get your free API key and configure it

• Suitable for individual trials, feature validation, and workflow testing

• If you need higher API assets, enterprise deployment, or commercial cooperation, please contact the sales

This lowers the barrier to adoption and makes it easier to test real AI document workflows before deciding whether to move into deeper business use.

Use Cases and Example Prompts

Upload a PDF, image, or other source file. Enter a task instruction such as extracting tables, converting formats, merging PDFs, or adding watermarks. The agent calls the corresponding ComPDF Server tool and returns the result. If deeper analysis is needed, pass the processed output to AI afterward.

Example scenarios:

• In Claude, Cursor, Cline, and similar MCP clients, users upload reports, manuals, or proposal PDFs, convert them to Markdown or Word first, and then ask AI for summaries, knowledge Q&A, or content restructuring
• In MCP workflows for invoices, statements, scanned tables, and image attachments, users extract tables and structured data first, then move into finance review, data entry, or automated routing
• When organizing contracts, bids, quotations, or archived files in agent workflows, users first merge, split, watermark, and convert PDFs, then hand them off to AI for organization, naming, or outbound preparation
• In multi-step automation workflows, users first turn PDF or image files into lightweight CSV, JSON, or TXT outputs, then let downstream agents handle field normalization, approval flows, knowledge base ingestion, or script orchestration

Example prompts:

• Convert this PDF into Word and preserve the layout as much as possible.
• Extract all tables from this PDF and export them as CSV.
• Convert this image into JSON and return structured content.
• Merge these PDFs, add a watermark, and return the final file.
• Convert this report into Markdown first, then summarize the key points.

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Built by the ComPDF team.
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