Docparser Connector for AI agents.
10 live capabilities
Extract structured data from PDFs and scanned documents automatically.
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Why people use Docparser
Docparser : Automate PDF Data Extraction for Business Workflows
With this Connector, your agent does the heavy lifting. You can just ask it to grab the total amount from a batch of invoices or find a specific order number. It talks directly to Docparser to pull that data into your chat, so you get the numbers you need without ever opening a file.
What Vinkius changes
That your AI agent gains the ability to treat your document library like a searchable database.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Extracting totals from a batch of invoices
An operations manager asks the agent to find all invoices from a specific supplier and sum the totals.
- Real-world use case 02
Finding a specific report by name
A data analyst needs to find a specific report from last month.
- Real-world use case 03
Diagnosing a drop in data flow
An automation lead notices a drop in data flow.
Complete set · 10capabilities
The complete Docparser capability set.
These are the exact actions your AI can choose when you ask it to work with Docparser.
01—04
4 capabilities in this set.
Part of 10 available through Docparser.
- 01 Capability
Get docparser account metadata
Get your account's current usage limits and general metadata. This helps you keep track of your remaining quota and account status.
- 02 Capability
List recent extractions
Get a chronological feed of the latest results from all your parsers. This is perfect for seeing the most recent data pulled into your system.
- 03 Capability
Quick parser health audit
See a high-level summary of how your parsers are performing right now. It's a fast way to check overall system health.
- 04 Capability
Get document extraction results
Fetch the actual data extracted from a specific document you've processed. This lets your agent pull specific fields like totals or dates directly into your chat.
05—07
3 capabilities in this set.
Part of 10 available through Docparser.
- 05 Capability
List parsed documents
See a list of every document a specific parser has finished handling. This is useful for verifying that a batch job is complete.
- 06 Capability
List failed document extractions
Identify which documents didn't make it through the parsing process. Use this to quickly find files that need to be re-uploaded or corrected.
- 07 Capability
List document parsers
See every parser you've configured in your Docparser account. This gives you a bird's-eye view of all your active extraction rules.
08—10
3 capabilities in this set.
Part of 10 available through Docparser.
- 08 Capability
List documents awaiting parsing
Check which files are currently sitting in the parsing queue. It helps you monitor the flow of documents waiting to be processed.
- 09 Capability
Search parsed documents
Find a specific document by its filename within a particular parser. This makes it easy to locate individual files without scrolling through lists.
- 10 Capability
Get parser details
Pull the specific settings and current status for one of your parsers. You can use this to check if a parser is active or what rules it's following.
Set up in minutes
One URL. Then ask Docparser to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Docparser 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_miP3tpayMODTxLaEmawpsldPcHjNW5qK9YgNrZ8w/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 Docparser, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Docparser for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_miP3tpayMODTxLaEmawpsldPcHjNW5qK9YgNrZ8w/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 Docparser URL.
- Step 03
Save and start
Save the connection and enable Docparser in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"docparser": {
"url": "https://edge.vinkius.com/vk_preview_miP3tpayMODTxLaEmawpsldPcHjNW5qK9YgNrZ8w/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 Docparser
Open Agent mode in chat and ask: "Using Docparser, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"docparser": {
"url": "https://edge.vinkius.com/vk_preview_miP3tpayMODTxLaEmawpsldPcHjNW5qK9YgNrZ8w/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 Docparser
Ask Copilot: "Using Docparser, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"docparser": {
"url": "https://edge.vinkius.com/vk_preview_miP3tpayMODTxLaEmawpsldPcHjNW5qK9YgNrZ8w/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 Docparser
Open Cascade and ask: "Using Docparser, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"docparser": {
"url": "https://edge.vinkius.com/vk_preview_miP3tpayMODTxLaEmawpsldPcHjNW5qK9YgNrZ8w/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 Docparser
Ask Cline: "Using Docparser, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add docparser --transport http "https://edge.vinkius.com/vk_preview_miP3tpayMODTxLaEmawpsldPcHjNW5qK9YgNrZ8w/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 Docparser
Ask Claude: "Using Docparser, show me...". 10 tools are ready
Where the request belongs
Work Docparser can move forward.
This is for the operations person drowning in paperwork or the data analyst who spends half their day cleaning up OCR errors. It's for anyone who needs to turn files into data at scale.
Operations Manager
Pulls invoice totals or order numbers from PDFs to update internal records without manual data entry.
Data Analyst
Grabs structured table data from scanned reports to build weekly summaries via chat.
Automation Lead
Monitors parser success rates to ensure the document pipeline stays healthy and error-free.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Bring your own AI
Change the model, client or framework. Keep Docparser 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 -
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Warp -
Amazon Q -
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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 Docparser.
The practical details behind the request, access and result.
Can the Docparser MCP extract data from scanned images?
Yes, it can. Since Docparser supports OCR, your AI agent can pull structured data from photos, scanned PDFs, and even low-quality images.
How does Docparser MCP help with invoice processing?
It automates the data entry part. Your agent can fetch invoice numbers, dates, and totals from your Docparser account and present them in a chat or a table.
Can I use Docparser MCP to see which documents failed?
Yes, the Connector includes a capability to list failed extractions. This helps you quickly identify which files need to be re-uploaded or fixed.
Does Docparser MCP work with my existing Docparser account?
Absolutely. You just need your Docparser API key to connect the Connector to your existing parsers and document history.
Can I search for specific files using the Docparser MCP?
Yes, you can ask your agent to find a document by its filename within a specific parser, making it much faster than browsing folders.
What happens to my data when I use Docparser MCP?
The Connector acts as a bridge. It retrieves the data you've already processed in Docparser and brings it into your AI client for you to use.
How do I get a Docparser API Key?
Log in to your Docparser account, navigate to the API section in your settings, and you can retrieve your unique API Key from there.
What types of data can be extracted?
Docparser can extract text, numbers, dates, and even complex table data from your documents based on the rules you configure in your parsers.
Can the agent show real-time processing status?
Yes, you can use the list_parsed_documents or list_documents_awaiting_parsing capabilities to see where your documents are in the extraction pipeline.
One connection away
Give your agent a direct line to Docparser.
Connect Docparser once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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