AlgoDocs Connector for AI agents.
10 live capabilities
Turn your scanned PDFs and images into structured JSON data.
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Why people use AlgoDocs
AlgoDocs OCR for Automated Invoice Data Extraction
With this Connector, you just point your agent at a URL or a folder. It handles the OCR, parses the complex tables, and hands you the JSON you need. You get clean data without the manual labor.
What Vinkius changes
You turn your AI agent into a high-speed document processing engine.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Automated Invoice Processing
A finance clerk gives the agent a folder of 500 invoice URLs.
- Real-world use case 02
Resume Parsing at Scale
An HR specialist asks the agent to parse a batch of resumes.
- Real-world use case 03
Receipt Auditing
An operations manager asks the agent to check the status of recent receipts.
Complete set · 10capabilities
The complete AlgoDocs capability set.
These are the exact actions your AI can choose when you ask it to work with AlgoDocs.
01—04
4 capabilities in this set.
Part of 10 available through AlgoDocs.
- 01 Capability
Get my account
Check your current account status and details. This helps you stay on top of your subscription.
- 02 Capability
Get document data
Pull the final structured JSON results for a specific document. This is how you get the actual data out.
- 03 Capability
List extractor data
Get a bulk list of results for all documents processed by an extractor. This is perfect for checking large batches.
- 04 Capability
Get document status
Find out if a document is still being processed or is ready for use. Use this to track your active jobs.
05—07
3 capabilities in this set.
Part of 10 available through AlgoDocs.
- 05 Capability
Get api usage
Check your current usage statistics and account limits. This keeps your costs and limits visible at all times.
- 06 Capability
Get folder details
View metadata and details for a specific storage folder. This helps you see the specifics of a project folder.
- 07 Capability
List recent documents
See a list of the most recently parsed documents in your account. This gives you a quick look at your latest work.
08—10
3 capabilities in this set.
Part of 10 available through AlgoDocs.
- 08 Capability
List extractors
See a list of all your active AI extractors and their rules. Use this to choose the right model for a job.
- 09 Capability
List folders
View the hierarchy of your document storage folders. This keeps your projects organized and easy to find.
- 10 Capability
Upload document from url
Send a URL to your agent to start parsing a document into JSON. It handles the extraction automatically.
Set up in minutes
One URL. Then ask AlgoDocs to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use AlgoDocs from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_0QGDA1pBXpGO1Q5IE0Ud8GMVJIzU6NBeEo6fN1bS/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it AlgoDocs, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable AlgoDocs for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_0QGDA1pBXpGO1Q5IE0Ud8GMVJIzU6NBeEo6fN1bS/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the AlgoDocs URL.
- Step 03
Save and start
Save the connection and enable AlgoDocs in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"algodocs": {
"url": "https://edge.vinkius.com/vk_preview_0QGDA1pBXpGO1Q5IE0Ud8GMVJIzU6NBeEo6fN1bS/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using AlgoDocs
Open Agent mode in chat and ask: "Using AlgoDocs, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"algodocs": {
"url": "https://edge.vinkius.com/vk_preview_0QGDA1pBXpGO1Q5IE0Ud8GMVJIzU6NBeEo6fN1bS/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using AlgoDocs
Ask Copilot: "Using AlgoDocs, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"algodocs": {
"url": "https://edge.vinkius.com/vk_preview_0QGDA1pBXpGO1Q5IE0Ud8GMVJIzU6NBeEo6fN1bS/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using AlgoDocs
Open Cascade and ask: "Using AlgoDocs, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"algodocs": {
"url": "https://edge.vinkius.com/vk_preview_0QGDA1pBXpGO1Q5IE0Ud8GMVJIzU6NBeEo6fN1bS/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using AlgoDocs
Ask Cline: "Using AlgoDocs, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add algodocs --transport http "https://edge.vinkius.com/vk_preview_0QGDA1pBXpGO1Q5IE0Ud8GMVJIzU6NBeEo6fN1bS/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using AlgoDocs
Ask Claude: "Using AlgoDocs, show me...". 10 tools are ready
Where the request belongs
Work AlgoDocs can move forward.
This is for the person who spends hours manually typing data from PDFs into a CRM or for the developer who needs a reliable way to handle OCR at scale.
Finance Clerk
Automates invoice and receipt data entry into accounting software.
Data Entry Specialist
Converts thousands of scanned images into structured databases without manual typing.
Operations Manager
Audits the accuracy of extraction models and monitors processing volumes.
Backend Developer
Integrates intelligent OCR into a custom app using simple agent commands.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsSensible
Extract structured data from PDFs, images, and documents using Sensible's powerful document parsing engine.
Cradl AI
Equip your AI agent to extract structured data from any document using Cradl AI's deep learning models.
Docparser
Equip your AI agent to extract data from documents, manage parsers, and track extraction results via the Docparser API.
Parsio
Extract structured data from emails and PDFs automatically with AI-powered parsing templates that learn from your documents.
Alphamoon
Extract data from documents using AI-powered OCR and intelligent document processing for contracts, invoices, and forms.
Extracta
Automate data extraction via Extracta. process documents into structured JSON, handle AI classification, and audit extraction history directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep AlgoDocs connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about AlgoDocs.
The practical details behind the request, access and result.
Can AlgoDocs MCP handle scanned images?
Yes, it handles scanned images and PDFs to turn them into structured JSON data.
How does AlgoDocs MCP handle complex tables?
It's designed to parse complex tables within documents so you don't have to manually transcribe them.
Can I use AlgoDocs MCP for my invoices?
It's a popular choice for automating invoice and receipt data extraction into your existing systems.
Does AlgoDocs MCP support folder organization?
Yes, you can list and audit your folder hierarchy to keep your different projects organized.
Can I check my API limits with AlgoDocs MCP?
You can ask your agent to check your usage stats and account details directly through the chat.
Does AlgoDocs MCP work with Word docs?
Yes, it can parse Word documents just like it handles PDFs and images.
How do I find my AlgoDocs API Key?
Log in to AlgoDocs, go to your Account Settings, and you will find your API key there. You will need this along with your registered email for authentication.
What is an 'Extractor' in AlgoDocs?
An Extractor is a set of rules and AI models configured to pull specific fields from a certain type of document (e.g., an Invoice Extractor). You must specify an extractor_id when uploading documents.
Can I retrieve data from a previously processed document?
Yes! Use the get_document_data capability and provide the unique document_id. Your agent will retrieve the extracted structured data from AlgoDocs storage.
One connection away
Give your agent a direct line to AlgoDocs.
Connect AlgoDocs once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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