Using AI tools to auto-fill PDF documents with an MCP solution

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Using AI tools to auto-fill PDF documents with an MCP solution

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Why this server?
This server provides comprehensive document processing, which includes the capability to read and manipulate PDFs, which is needed for auto-filling PDF documents.
Simple Document Processing MCP Server
cablate
A
security
A
license
A
quality
Provides comprehensive document processing, including reading, converting, and manipulating various document formats with advanced text and HTML processing capabilities.
Last updated -
16
46
11
TypeScript
MIT License
Why this server?
This server allows searching and reading PDF files in Box, which could be useful if your PDF documents are stored there.
Box MCP Server
hmk
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security
A
license
-
quality
The Box MCP Server facilitates searching and reading PDF and Word files in Box using Developer Token authentication.
Last updated -
6
2
JavaScript
BSD 3-Clause
Why this server?
This server enables interaction with Paperless-NGX, a document management system, which could help in organizing and accessing PDF documents for autofilling.
Paperless-NGX MCP Server
nloui
A
security
F
license
A
quality
Enables interaction with Paperless-NGX API servers, supporting document management, tagging, and metadata operations through a natural language interface.
Last updated -
17
6
19
JavaScript
Why this server?
While primarily for YouTube transcripts, this server demonstrates document processing capabilities which could be adapted for other document types, including PDFs.
mcp-youtube-transcript
sinco-lab
A
security
A
license
A
quality
A Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video transcripts and subtitles through a simple interface, making it ideal for content analysis and processing.
Last updated -
1
258
10
TypeScript
MIT License
Why this server?
This server allows fetching and transforming web content into various formats, which might be useful for extracting data to populate PDF forms if the data source is online.
MCP NPX Fetch
tokenizin-agency
A
security
A
license
A
quality
A powerful MCP server for fetching and transforming web content into various formats (HTML, JSON, Markdown, Plain Text) with ease.
Last updated -
4
146
12
TypeScript
MIT License
Why this server?
While it focuses on screenshots, it implies an ability to interact with visual information, a potential requirement if you're extracting info from scanned or image-based PDFs.
MCP Screenshot Server
sethbang
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security
F
license
-
quality
Enables capturing screenshots of web pages and local HTML files through a simple MCP tool interface using Puppeteer with configurable options for dimensions and output paths.
Last updated -
1
0
4
JavaScript
Why this server?
This server supports web content fetching, which can be a first step for getting information to fill into a PDF.
MCP Server Fetch TypeScript
tatn
A
security
A
license
A
quality
A Model Context Protocol server that provides web content fetching and conversion capabilities.
Last updated -
4
89
2
JavaScript
MIT License
Why this server?
While basic, this server provides some text analysis capabilities, which could be useful in parsing existing PDF content.
MCP Word Counter
qpd-v
A
security
A
license
A
quality
A Model Context Protocol server that provides tools for analyzing text documents, including counting words and characters. This server helps LLMs perform text analysis tasks by exposing simple document statistics functionality.
Last updated -
1
8
7
JavaScript
Apache 2.0
Why this server?
This server can convert webpage content, EPUB books and PDF documents to Markdown format, which is useful for processing text for AI.
Markdownify MCP Server
zcaceres
A
security
A
license
A
quality
Converts various file types and web content to Markdown format. It provides a set of tools to transform PDFs, images, audio files, web pages, and more into easily readable and shareable Markdown text.
Last updated -
10
2
1,611
TypeScript
MIT License
Why this server?
This server can extract and transform webpage content into clean, LLM-optimized Markdown. Can be used to extract data from online sources for auto-filling purposes.
Mozilla Readability Parser MCP Server
emzimmer
A
security
A
license
A
quality
Extracts and transforms webpage content into clean, LLM-optimized Markdown. Returns article title, main content, excerpt, byline and site name. Uses Mozilla's Readability algorithm to remove ads, navigation, footers and non-essential elements while preserving the core content structure.
Last updated -
1
4
11
MIT License