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Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": true
}
logging
{}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
extensions
{
  "io.modelcontextprotocol/ui": {}
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
parse_pdfA

Parse a PDF and return structured text plus bounding boxes for every text item on every page.

Bounding-box coordinates are in PDF points (1 pt = 1/72 inch), with the origin at the top-left corner of each page.

Returns JSON: { "pages": [ { "page_num", "width_pts", "height_pts", "text", "text_items": [ { "text", "x", "y", "width", "height", "font_name", "font_size", "confidence" } ] } ] }

batch_parse_pdfsA

Parse all PDFs in a folder. For each PDF, writes to //: pages.json – text + bounding boxes per page summary.txt – plain text of the whole document page_N.png – raw page screenshot page_N_cited.png – screenshot with bounding-box highlights

Returns a JSON summary of successes and any errors.

screenshot_pdfA

Render PDF pages as PNG images (base64-encoded).

Returns JSON list of: { "page_num", "width_px", "height_px", "image_base64" }

cited_screenshotA

Render a single PDF page as a PNG with bounding-box highlights drawn over every extracted text item (or only items matching search_phrase).

Returns JSON: { "page_num", "width_px", "height_px", "items_highlighted", "image_base64" }

search_pdfA

Search for a phrase in a PDF and return every matching text item with its page number and bounding-box coordinates.

Returns JSON: { "phrase", "match_count", "matches": [ { "page_num", "text", "x", "y", "width", "height", "font_size" } ] }

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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