F
licenseA
qualityD
maintenanceEnables reading and extracting content from PDF documents including text (as Markdown), images, tables, and metadata from both local files and URLs, with OCR support for scanned documents.
2
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doc2images-mcp
by BruceKangCN
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@doc2images-mcp render pages 1-3 of report.pdf at 200 dpi"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
doc2images-mcp
An MCP server that renders documents to images and returns them directly as multimodal content for the model.
Deterministic "document -> image" conversion only;
Does not convert documents to Markdown and does not do LLM-based document understanding / OCR;
PDF rendering is handled by pypdfium2 (PDFium), a self-contained Python wheel with no external binaries. PDFium ships its own encoding data, including the CJK CMaps, so Chinese/Japanese/Korean text renders correctly.
This version supports PDF only. The DOCX / PPTX branch is reserved in the code and will be enabled once LibreOffice is wired in.
Requirements
Dependency | Notes |
Python |
|
Dependency management and run entry point |
No system packages are required: pypdfium2 bundles the PDFium binaries.
Related MCP server: PDF Splitter MCP Server
Install
uv tool install doc2images-mcpWiring it into OpenCode
Add the following to the mcp.servers section of opencode.jsonc:
"doc2images": {
"type": "local",
"command": [
"uvx",
"doc2images-mcp",
],
},To cap how much image data reaches the context, you can also tighten OpenCode's image settings:
"media": {
"image": {
"auto_resize": true,
"max_width": 2000,
"max_height": 2000,
"max_base64_bytes": 5242880,
},
},Tool: pdf_to_images
Renders PDF pages and returns a list of images (one per page).
Parameter | Default | Description |
| — | Document path. Relative paths resolve against |
|
| Rasterization resolution, |
|
| First page to render (1-based) |
|
| Last page to render; |
|
| Hard cap on the number of pages (1–50) to protect the context |
|
| Maximum output width; wider pages are scaled down proportionally |
Environment variables
Variable | Default | Description |
| Current working directory | Base directory used to resolve relative paths |
Testing
Sample PDFs live in data/; the tests render them through the tool:
uv run pytest -vRendered intermediate images are written to tmp/, which is ignored via its
own .gitignore.
Roadmap
Office support: after installing LibreOffice, add
soffice --headless --convert-to pdffor.docx/.pptx/.pptin the dispatch function, then reuse the same rendering logic.Embedded image extraction: extract only the images embedded in a document instead of whole pages.
Alternative backend: PyMuPDF (
fitz) is a drop-in alternative if its richer text/embedded-image APIs are ever needed; the tool interface stays the same.
Available Tools
1 toolpdf_to_imagesPdf To ImagesA
Render document pages to images for vision models.
Returns one image per page. Use first_page/last_page/max_pages to limit how much of the document is sent to the model.
Inputs: file_path (required), dpi, last_page, max_pages, +2 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
A4.1/5.0
Scored across 1 tool
Disambiguation5/5
Only one tool is exposed, so there is no possibility of selecting the wrong tool. Its purpose—rendering PDF/document pages to images—is unambiguous.
Naming Consistency5/5
The sole tool uses clear snake_case (`pdf_to_images`), and there are no competing conventions to create inconsistency. Though not a strict verb_noun pattern, the name is readable and predictable.
Tool Count3/5
A single tool is thin for any server, but the server's scope is narrowly conversion. It earns its place, but 1 tool is borderline on the count rubric.
Completeness4/5
The tool covers the core PDF-page-to-image workflow, including page-range limiting. However, the server name suggests broader document-to-image support, while the only tool handles PDFs; this is a minor gap.
Maintenance
ActivitySlowing
ResponsivenessOutdated data
Related MCP Connectors
Generate and read PDFs for AI agents: a generate_pdf and a read_pdf tool, priced per document.
Image & PDF tools for AI agents: compress, convert, resize, PDF, AI vision, pipeline.
Read PDFs and images as markdown or text, with exact costs and hard spend caps. $0.75/1k pages.
Generate images, GIFs, videos, and PDFs from HTML, URLs, or templates — from your AI agent.
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- AlicenseNot gradedqualityBmaintenanceEnables AI agents to render document pages as images and retrieve document info (file type, page count) via tools like RenderPage and GetViewInfo.MIT
