How to Use the Docparser MCP in Windsurf

Q: How does the Docparser MCP Server run inside Windsurf?

You add the server to your /.codeium/windsurf/mcpconfig.json file under the mcpServers key. Windsurf automatically registers the ten tools, allowing Cascade to call them during autonomous tasks.

Q: Can I search my processed files using this integration?

Yes. The agent in Windsurf uses searchparseddocuments to find specific filenames. It matches your query against processed documents to locate the precise extraction results you need.

Let Windsurf autonomously extract structured data from your PDFs and audit your parsers without leaving Cascade.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Docparser MCP to Windsurf

Create your Vinkius account to connect Docparser to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Docparser with Windsurf

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Autonomously audit parser health in Windsurf

The `quick_parser_health_audit` tool lets Cascade immediately check which document templates are failing and pivot to fix them. This MCP Server tracks your active layouts and alerts you the second a vendor template starts throwing errors. You don't have to prompt Cascade for every single step. Cascade chains `list_document_parsers` with the health audit tool to find the exact layout causing the bottleneck. Once it identifies the broken parser, it pulls the configuration details using `get_parser_details` so you can patch the issue.

Chain extraction reviews directly in your IDE

You can call `list_parsed_documents` to grab the latest files and verify if Docparser processed your invoices correctly. Cascade handles the verification loop by grabbing the latest files, then instantly pulls the raw JSON payloads. The agent uses `get_document_extraction_results` to inspect the exact key-value pairs from the extraction. If a value looks off, Cascade flags it in your workspace, allowing you to fix downstream database schemas before running imports.

Resolve stuck queues without manual monitoring

The `list_documents_awaiting_parsing` tool lets Windsurf step in to find where document processing has stalled. Your agent uses this MCP integration to check how many files are backlogged in your queue. If things are stuck, Cascade runs `list_failed_document_extractions` to find the exact files that choked the parser. It then searches for specific filenames using `search_parsed_documents` to verify if a corrected version was already processed.

Setup guide

Set up Docparser MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Docparser MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Docparser payment history." If connected, Cascade will call the Docparser tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "docparser-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Docparser. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Docparser now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Docparser MCP in Windsurf

You add the server to your ~/.codeium/windsurf/mcp_config.json file under the mcpServers key. Windsurf automatically registers the ten tools, allowing Cascade to call them during autonomous tasks.

Yes, Cascade excels at chaining these tools inside Windsurf. It can list your active layouts using `list_document_parsers` and then pull results from `get_document_extraction_results` in a single run.

Ask Cascade to investigate the failure. The agent will call `list_failed_document_extractions` and `get_parser_details` to pinpoint which layout rule broke and show you the exact error.

Yes. The agent in Windsurf uses `search_parsed_documents` to find specific filenames. It matches your query against processed documents to locate the precise extraction results you need.

Your document payloads and API metadata never pass through third-party servers. The MCP server runs locally within Windsurf's secure sandbox environment, communicating directly with the Docparser API using your secure token.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript