PDF Toolkit MCP
💼 Available for freelance MCP/AI integration work — DM @aryansalian03 or via aryanbv.com
A write-capable PDF toolkit for any MCP client. It provides 22 tools for reading, creating, rendering, transforming, and securing PDFs. That includes rendering pages to images so vision models can read scanned documents, building PDFs from Markdown or structured data, AES-256 encryption, and merge and split operations that keep form fields intact. There are no native dependencies, so it runs locally from a single npx command.
npx -y @aryanbv/pdf-toolkit-mcpIt needs no config files, API keys, Docker, or compiler, and it works offline.
Overview
Most PDF servers for MCP only read. This one also writes: it creates documents from Markdown or structured data, fills and flattens forms, rearranges page structure, and applies AES-256 encryption, all without a native build toolchain.
A few things worth knowing:
- It reads scans.
pdf_render_pagesrasterizes pages to images, so a vision-capable model can read scanned or image-only PDFs that have no text layer. - Merge, split, reorder, and delete preserve AcroForm fields rather than dropping them. Names that collide between inputs are namespaced per source, and every call reports what it preserved, renamed, or dropped.
- Encryption is AES-256 through qpdf, not the legacy RC4 scheme.
- Every engine is WASM or plain JavaScript, so
npxworks on Node 20 and later across Windows, macOS, and Linux with no node-gyp, canvas binding, or prebuilt binary. - Errors carry stable codes, stack traces stay internal, off-page placements are rejected instead of silently clipped, and large responses are truncated without breaking JSON.
