Skip to main content
Glama
pdfdotco

PDF.co MCP Server

Official
by pdfdotco

pdf_to_text

Converts PDF and scanned images into editable text while preserving layout. Supports OCR, page selection, and password-protected files.

Instructions

Convert PDF and scanned images to text with layout preserved.
Ref: https://developer.pdf.co/api/pdf-to-text/basic.md

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to the source file. Supports publicly accessible links including Google Drive, Dropbox, PDF.co Built-In Files Storage. Use 'upload_file' tool to upload local files.
langNoLanguage for OCR for scanned documents. Default is 'eng'. See PDF.co docs for supported languages. (Optional, Default: 'eng')eng
nameNoFile name for the generated output. (Optional)
rectNoDefines coordinates for extraction (e.g., '51.8,114.8,235.5,204.0'). (Optional)
pagesNoComma-separated page indices (e.g., '0, 1, 2-' or '1, 3-7'). Use '!' for inverted page numbers (e.g., '!0' for last page). Processes all pages if None. (Optional)
unwrapNoUnwrap lines into a single line within table cells when lineGrouping is enabled. Must be true or false. (Optional)
api_keyNoPDF.co API key. If not provided, will use X_API_KEY environment variable. (Optional)
passwordNoPassword of the PDF file. (Optional)
httppasswordNoHTTP auth password if required to access source url. (Optional)
httpusernameNoHTTP auth user name if required to access source url. (Optional)
line_groupingNoEnables line grouping within table cells when set to '1'. (Optional)0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions layout preservation but omits key runtime behaviors such as asynchronous processing, API key requirements, output retrieval flow, or limitations for scanned documents.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences: one clear purpose statement and a reference link. It is front-loaded and contains no filler or redundant information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 11 parameters, no output schema, and no annotations, but the description does not explain the overall workflow, return value, or how to retrieve the converted text. Given the complexity, the description is too thin to fully guide an agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all 11 parameters already have explanatory descriptions. The tool description adds no additional parameter context, but the schema alone provides sufficient semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool converts PDFs and scanned images to text, with a specific verb ('Convert') and output resource ('text'). It distinguishes from sibling conversion tools (pdf_to_json, pdf_to_csv, etc.) by naming the target format.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not explicitly state when to use this tool versus alternatives like pdf_to_json or pdf_to_html. There is no mention of exclusions, prerequisites, or scenarios where another converter would be preferred.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/pdfdotco/pdfco-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server