PDFluent

pdfluent-mcp

An MCP server for PDFluent. It lets Claude Desktop, Claude Code, Cursor, VS Code and any other MCP client read a local PDF as markdown, plain text, tables or positioned blocks, look up its metadata, search it, and fill its form fields into a new file.

It runs over stdio, one process per client, on the pdfluent Python package. Your documents stay on your machine. The server reads and writes only inside the directories you allow. The balanced quality tier needs model files; pdfluent models install downloads them once. Your documents are never uploaded.

Tools

Tool	Returns
extract_markdown(path, pages?, quality?)	The document as markdown in reading order: headings, list items and tables. Running heads and page numbers are left out. quality is fast (default) or balanced.
extract_text(path, pages?)	The plain text layer, page by page, each page behind <!-- page N -->.
extract_tables(path, pages?)	tables: one entry per table with page, rows (lists of cell strings) and header_rows.
extract_blocks(path, pages?, include_furniture?)	blocks: each with kind, text, page, bbox and confidence, plus level, ordinal or table-cell position where they apply. pages_needing_vision: the pages whose text layer is missing.
get_metadata(path)	Page count, title, author, dates, PDF version, encryption, whether the document has form fields, how many signatures and bookmarks it has, and which pages have no text layer.
search(path, query)	The pages that mention query, with up to three snippets per page.
list_form_fields(path)	Every form field with name, type, value and page.
fill_form(path, values, out_path, overwrite?)	Fills the named fields and writes a new file at out_path. The input is never changed; an existing out_path is refused unless overwrite is true, and a symbolic link there is always refused.
vision_advice(path)	advice: one entry per page with needs_vision and its reasons.

Page numbers are 0-based in every argument and result. confidence is the probability of the learned model that decided a block's kind; it is null where no model decided it, and null means unknown, not low.

Install

Needs Python 3.10 or later and uv. uvx downloads the server and pdfluent on first use and caches them.

uvx pdfluent-mcp --root ~/Documents

Or into an environment of your own:

pip install pdfluent-mcp
pdfluent-mcp --root ~/Documents

Allowed roots

The server touches nothing outside its roots. Give them with --root (repeat for more than one), with PDFLUENT_MCP_ROOTS (:-separated, ; on Windows), or let the client offer them: Claude Code sends its working directory and --add-dir directories as MCP roots. A server with no root from any of these answers every call with a message saying so. Symlinks are resolved before the check, so a link inside a root cannot point outside it.

A root is as wide as the directory it names. A client that offers /, ~ or a drive as an MCP root widens the server to everything the user can read; if that is not what you want, start the server with --root on the folder your PDFs live in and keep the client's roots narrow.

Three more limits: --max-pages (default 200) is how many pages one call returns, so a long document is read in windows through pages (the engine still parses the whole document for every window; the cap bounds the output, not the work); --max-bytes (default 100 MiB) is the largest document the server opens; --max-output-chars (default 200000) is the longest result one call returns, after which it is cut and says so. All three also read from PDFLUENT_MCP_MAX_PAGES, PDFLUENT_MCP_MAX_BYTES and PDFLUENT_MCP_MAX_OUTPUT_CHARS.

Replace /path/to/documents below with the directory your PDFs live in.

Claude Desktop

Add to claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json, Windows: %APPDATA%\Claude\claude_desktop_config.json) and restart Claude Desktop:

{
  "mcpServers": {
    "pdfluent": {
      "command": "uvx",
      "args": ["pdfluent-mcp", "--root", "/path/to/documents"]
    }
  }
}

If Claude Desktop does not find uvx, write its full path (which uvx) in command.

Claude Code

claude mcp add pdfluent -- uvx pdfluent-mcp --root /path/to/documents

Claude Code also offers its working directory as an MCP root, so inside a project claude mcp add pdfluent -- uvx pdfluent-mcp is enough. For a team, put this in the project's .mcp.json:

{
  "mcpServers": {
    "pdfluent": {
      "type": "stdio",
      "command": "uvx",
      "args": ["pdfluent-mcp"]
    }
  }
}

To tell Claude when to reach for these tools, copy skill/pdfluent from this repository to ~/.claude/skills/pdfluent (every project) or to .claude/skills/pdfluent in one project.

Cursor

Add to Cursor (then change /path/to/documents), or add to ~/.cursor/mcp.json or the project's .cursor/mcp.json:

{
  "mcpServers": {
    "pdfluent": {
      "type": "stdio",
      "command": "uvx",
      "args": ["pdfluent-mcp", "--root", "/path/to/documents"]
    }
  }
}

VS Code

Install in VS Code, or from a terminal:

code --add-mcp '{"name":"pdfluent","type":"stdio","command":"uvx","args":["pdfluent-mcp","--root","/path/to/documents"]}'

Or add to .vscode/mcp.json in the workspace (note the key is servers):

{
  "servers": {
    "pdfluent": {
      "type": "stdio",
      "command": "uvx",
      "args": ["pdfluent-mcp", "--root", "/path/to/documents"]
    }
  }
}

Codex

Add to ~/.codex/config.toml:

[mcp_servers.pdfluent]
command = "uvx"
args = ["pdfluent-mcp", "--root", "/path/to/documents"]

Development

pip install -e ".[test]"
pytest

The tests start the server over stdio with a real MCP client, call every tool on the PDFs in tests/fixtures, and try to step outside the allowed roots.

Licence

The same as the pdfluent package it runs on: AGPL-3.0-only, or the PDFluent Commercial Licence. See LICENSE and LICENSE-COMMERCIAL. It depends on mcp (MIT).