How to Use the Unstructured MCP in VS Code Copilot

Q: Can I audit past processing runs with Unstructured using VS Code Copilot?

Absolutely. Use listworkflowjobs to pull a full log of all historical job executions, giving the team complete visibility into data processing history.

Standardize Unstructured data management across your team using VS Code Copilot's MCP Server.

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Connect Unstructured MCP to VS Code Copilot

Create your Vinkius account to connect Unstructured to VS Code Copilot 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 VS Code Copilot

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Centralize workflow definitions for the team

The `list_processing_workflows` tool lets everyone see all defined end-to-end pipelines, keeping documentation consistent across the repo. Furthermore, using `get_workflow_details` means developers know exactly what inputs a specific pipeline expects. This standardization is critical for large teams managing complex data flows.

Manage connections via MCP Server config

The team commits the server configuration to `.vscode/mcp.json`. This setup allows Copilot Chat to access tools like `list_data_sources` and `list_data_destinations`, showing everyone where data originates or terminates. It ensures every developer uses the same, approved connection methods.

Monitor job execution across all team members

Need to check if a deployment run finished? `list_workflow_jobs` retrieves both active and historical execution records. You can then use `trigger_workflow_execution` to manually start a test run, capturing the resulting job ID for tracking. The shared configuration makes monitoring transparent.

Setup guide

Set up Unstructured MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Unstructured MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Unstructured tools listed. Try asking: "List my recent Unstructured transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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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.

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Common questions about Unstructured MCP in VS Code Copilot

The MCP Server allows you to manage the entire process, from listing remote data sources (`list_data_sources`) to triggering full workflow executions, all within a shared team configuration.

It manages connection metadata for external services. Specifically, it handles details for data sources (like S3) and data destinations (like Vector DBs or SQL).

Absolutely. Use `list_workflow_jobs` to pull a full log of all historical job executions, giving the team complete visibility into data processing history.

Yes, because the configuration is committed via Git and managed through `.vscode/mcp.json`, it provides a standardized, auditable setup suitable for SOC 2 compliance environments.

The tool returns a list of all configured remote connectors (S3, GCS). This gives the team immediate, shared visibility into where raw material data is stored.

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