Click on "Install 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., "@pdf-mcp extract text from sample.pdf"
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.
Full-stack PDF intelligence MCP server — extract, manipulate, annotate, convert, validate, and RAG-search PDFs through a unified tool surface and React workbench.
v0.2.1 · Ports 11130 (frontend) / 11131 (backend)
FastMCP 3.4.4 · PyMuPDF + pypdf + pdfplumber · LanceDB RAG · Prefab UI · dual transport (stdio + HTTP)
pdf_extract — text, images, tables, metadata, fonts, links, outline
pdf_manipulate — merge, split, rotate, reorder, delete pages, compress, encrypt/decrypt, optimize
pdf_annotate — watermark, stamp, highlight, underline, header/footer, page numbers, auto summary box
pdf_forms — list / fill / flatten / export + LLM-guided auto-fill
pdf_convert — PDF ↔ Markdown / images / HTML
pdf_validate — PDF/A, structure, accessibility, integrity, compare
pdf_rag — chunk (table-aware), index (LanceDB), semantic search, query-by-example, cross-document synthesis
pdf_analyze / pdf_redact / pdf_classify / pdf_dedupe / pdf_export — intelligence tools
pdf_do — autonomous agent that chains the tools from natural language
pdf_help / pdf_status / pdf_shutdown — meta tools
Related MCP server: pdf-mcp
git clone https://github.com/sandraschi/pdf-mcp
cd pdf-mcp
uv sync
Copy-Item .env.example .env
.\start.ps1Dashboard: http://127.0.0.1:11130 · MCP/API: http://127.0.0.1:11131
Backend: Python 3.12, FastMCP 3.4.4, Starlette (HTTP), PyMuPDF, pypdf, pdfplumber, LanceDB, Prefab UI
Frontend: React 18, Vite 5, Tailwind CSS, Lucide, Framer Motion, Zustand, PDF.js, Playwright
Tooling: uv, bun, just, ruff, pyright, Biome, pre-commit
Tool | Operations |
| text, images, tables, metadata, fonts, links, outline |
| merge, split, rotate, reorder, delete_pages, compress, encrypt, decrypt, optimize |
| watermark, stamp, highlight, underline, header_footer, page_numbers, summary_box |
| list_fields, fill, flatten, export_data, auto_fill |
| to_markdown, to_images, to_html, from_html, from_markdown, from_images |
| pdfa, structure, accessibility, integrity, compare |
| chunk, index, search, similar, synthesize, list_documents, delete_index |
| intelligence |
| agentic chaining |
| meta |
{
"mcpServers": {
"pdf-mcp": {
"command": "uv",
"args": ["--directory", "D:\\Dev\\repos\\pdf-mcp", "run", "python", "run_server.py"]
}
}
}For HTTP mode instead: uv run python run_server.py --mode http --port 11131 and connect over http://127.0.0.1:11131/mcp.
See docs/CONFIGURATION.md. Key vars: MCP_MODE (stdio/http), MCP_PORT (11131), FRONTEND_PORT (11130), RAG_STORE_PATH, UPLOAD_DIR.
Route | Page |
| Dashboard (KPIs, LLM availability, usage stats) |
| PDF.js viewer + OCR badge + compare mode + tool palette |
| Single operations + multi-step recipes + share links |
| LLM chat with PDF search + source citations |
| Discovery & logs |
MIT
This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
MCP server for the PDFGate API. Generate PDFs, manage documents and handle e-signatures.
OCR, transcription, file extraction, and image generation for AI agents via MCP.
Generate PDFs from templates via AI chat. Works with Claude, ChatGPT, Cursor, and any MCP client.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/sandraschi/pdf-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server