How to Use the Unstructured MCP in Claude

Q: Can I check the status of a past job using Unstructured with Claude Desktop?

Yep. Call listworkflowjobs. This tool gives you both active and historical records, letting your AI client pull up exactly what happened on any given run.

Connect Unstructured data sources directly into Claude Desktop for local file access.

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Connect Unstructured MCP to Claude Desktop

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

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Setup Unstructured with Claude Desktop

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Perplexity

Check available document pipelines with the MCP Server

The `list_processing_workflows` tool shows every end-to-end pipeline you've set up. This lets your AI client see exactly how complex documents get processed. You can also use `get_workflow_details` to pull specific config info for a workflow, so you know what parameters need tweaking before running it.

Map data sources and targets easily

Need to know where your data lives or where it's going? Use `list_data_sources` to see all remote connectors—think S3 or GCS. You can also run `list_data_destinations` to get a list of configured endpoints, like SQL databases or Vector DBs. This visibility helps your AI client set up the proper data path before triggering any job.

Execute and monitor workflows from Claude Desktop

When you're ready to run something, `trigger_workflow_execution` manually starts a processing workflow; it returns a job ID. Meanwhile, if you need an audit trail, `list_workflow_jobs` shows all historical runs, whether they succeeded or failed. It’s direct control: launch the process and then check its status without leaving your chat window.

Setup guide

Set up Unstructured MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Unstructured MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Unstructured MCP configuration

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

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under unstructured-mcp.

json

{
  "mcpServers": {
    "unstructured-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 Unstructured. 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.

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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 Unstructured MCP in Claude Desktop

You connect the MCP Server via your local stdio endpoint. Once connected, your AI client can call `list_data_sources` to identify available connectors and then execute a workflow directly against your machine's resources.

This server manages metadata about external connections, including details for remote storage systems like S3/GCS (data sources) and database endpoints (data destinations).

Yep. Call `list_workflow_jobs`. This tool gives you both active and historical records, letting your AI client pull up exactly what happened on any given run.

Yes, when using the Desktop App, tools run as subprocesses via stdio transport. This gives you local file access and lets your agent control data processing right on your machine.

Since this MCP Server is designed to be connected locally or remotely, it supports integration into existing development environments that require controlled access to external resources.

Use it with your favorite AI tools

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

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