# Overview

Source: https://pdfparse.net/docs

Connect through MCP or use the REST API to upload documents, configure extraction, and query saved data.



## MCP server

Connect your AI assistant using OAuth to create tables, upload PDFs, query extracted rows, and set up routing and email workflows.

* [Connect to MCP](https://pdfparse.net/docs/mcp)
* [Usage examples](https://pdfparse.net/docs/mcp/examples)
* [Every MCP action](https://pdfparse.net/docs/mcp/actions)

## Zapier integration

Use the native integration in testing to send PDFs into a project and map saved extraction fields into downstream apps. The [Zapier tutorial](https://pdfparse.net/docs/zapier) walks through an invoice-to-Google-Sheets workflow, verification, and current limits. See [availability](https://pdfparse.net/zapier) before setting up native steps.

## Browser agents

Use [WebMCP browser tools](https://pdfparse.net/docs/webmcp) to search documentation, query the public sample database, and open a document workflow. Agents can start with [llms.txt](https://pdfparse.net/llms.txt) for a concise index or [llms-full.txt](https://pdfparse.net/llms-full.txt) for the complete guides.

## REST API base URL

Use the versioned API base URL:

```txt
https://api.pdfparse.net/v1
```

## Reference Coverage

The OpenAPI reference includes all currently mounted REST handlers under `/v1`, including:

* Projects
* Tables
* Rows
* Documents
* Jobs
* Extraction Attempts
* Webhooks
* Uploads

## Next Steps

* Follow [Get Started](https://pdfparse.net/docs/getting-started)
* Follow [How to Extract Data From a PDF](https://pdfparse.net/docs/how-to-extract-pdf-data)
* Read [Authentication](https://pdfparse.net/docs/authentication)
* Follow [Tutorial: Create a Project and Table](https://pdfparse.net/docs/tutorial-first-project)
* Follow [How-To: Run an Extraction Job](https://pdfparse.net/docs/how-to-run-extraction-job)
* Browse every supported operation in the [API Reference](https://pdfparse.net/docs/api-reference)