- JSON
- STATUS
- HUMAN
- LOGS
Short answer
How can I pull structured data from a URL with my AI?
You provide a public URL and a ruleset, and your AI handles the rest. It fetches the file and converts the content into a clean JSON object. You'll get organized data ready for use.
The results.
Where your data lands.
The extraction process turns messy files into structured information.
JSON
Structured data
The AI converts document text into a clean JSON format. You get exactly the fields you defined in your ruleset.
STATUS
Processing updates
Your AI monitors the extraction progress. You'll know when the file is ready or if something went wrong.
HUMAN
Manual review
If an extraction fails or the data looks off, the AI flags it. You step in to fix the ruleset or check the source.
LOGS
Extraction history
Every successful pull is recorded. You can track what was extracted and which rulesets were applied.
The workflow
What your AI does when a URL is provided.
The AI manages the entire lifecycle from the initial link to the final JSON output.
Find rulesets
The AI looks through your available extraction configurations to find the right one for the document type.
list_extractorsFetch the file
The AI sends the public URL to the connector to begin the ingestion process.
upload_document_from_urlTrack progress
Since large files take time, the AI checks the status to see when the extraction is complete.
get_document_statusDeliver JSON
Once finished, the AI pulls the final structured data to present to you.
get_document_data
Try it
Copy these to start.
Use these prompts to kick off an extraction task.
Starting points
Swap out the bracketed text with your actual URL and the name of your specific ruleset.
AlgoDocs Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_0QGDA1pBXpGO1Q5IE0Ud8GMVJIzU6NBeEo6fN1bS/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — AlgoDocs capabilities are ready to use.
{
"mcpServers": {
"algodocs-mcp": {
"url": "https://edge.vinkius.com/vk_preview_0QGDA1pBXpGO1Q5IE0Ud8GMVJIzU6NBeEo6fN1bS/mcp"
}
}
}Use AlgoDocs to extract data from this URL using the 'Invoice_Ruleset': https://example.com/file.pdf
Find all available extractors in AlgoDocs so I can choose the right one.
Check the status of the document extraction I just started.
Get the JSON data from the last document processed using the 'Contract_Parser' ruleset.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect AlgoDocs once, then ask.
Click the link to connect. Your credentials stay encrypted, and you can immediately start asking your AI to pull data from URLs.
Connect AlgoDocs to your AIFAQ
How this task behaves.
- 01
Can the AI extract data from private URLs?
No. The AI can only access files hosted at public URLs.
- 02
Does the AI automatically update my local database?
No. The AI provides the structured JSON data, but you are responsible for moving that data into your own database or spreadsheet.
- 03
Can I change the extraction rules while a file is processing?
No. Once a document is sent for extraction, it follows the ruleset assigned at the start of the task.
- 04
What happens if the document format changes?
If the document doesn't match your ruleset, the extraction will fail. You'll need to update your ruleset and try again.
- 05
Can the AI delete files from the source URL?
No. The AI only reads the data from the URL; it has no permission to modify or delete the original file.
More questions about AlgoDocs? The Connector page answers them. See everything the AlgoDocs Connector can do
Connect AlgoDocs to Claude, Cursor, ChatGPT & more
