Can my AI agent trigger an immediate document processing job?

Yes! If you have a workflow configured to pull files from an S3 bucket and load them into a Pinecone index, you can ask your agent to `trigger workflow XYZ`. It will start the execution and return the new Job ID, which you can use to track the progress.

How can I verify if my RAG pipelines are failing or succeeding?

Ask your agent to list your workflow jobs. It will securely connect to Unstructured's engine and return historical and active executions, displaying statuses such as 'completed', 'failed', or 'in_progress'. This is extremely useful for MLOps engineers diagnosing ingestion alerts directly in their terminal.

Can I edit the destination database directly through the agent?

This server is focused on auditing and executing your existing pipelines. Currently, you can list all connections (sources and destinations) and obtain their details, but creating or destructively modifying vector database connectors must be done inside the Unstructured dashboard for security.

Unstructured MCP Server for Windsurf 6 tools — connect in under 2 minutes

Name: Unstructured
Availability: InStock
Author: Vinkius

docs.windsurf.com/windsurf/mcp

Built by Vinkius GDPR 6 Tools IDE

Windsurf brings agentic AI coding to a purpose-built IDE. Connect Unstructured through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.

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Vinkius supports streamable HTTP and SSE.

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The modern way to manage MCP Servers — no config files, no terminal commands. Install Unstructured and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

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

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

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DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Unstructured MCP Server

Connect your Unstructured.io account to any AI agent to automate data ingestion and document processing pipelines seamlessly. Transform complex files into clean, AI-ready data without leaving your workflow.

Windsurf's Cascade agent chains multiple Unstructured tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 6 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

What you can do

Data Sources — List all configured remote data connectors (e.g. S3, GCS, SharePoint) to see where documents can be pulled from.
Data Destinations — Browse target locations (like Vector DBs or SQL databases) where structured output is sent.
Processing Workflows — List end-to-end pipelines, retrieve specific workflow configurations, and explore source-destination mappings.
Job Execution — Manually trigger immediate document ingestion and partitioning jobs, and track their execution IDs.
Job Monitoring — List active and historical workflow execution jobs to monitor the progress of your document processing tasks.

The Unstructured MCP Server exposes 6 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Unstructured to Windsurf via MCP

Follow these steps to integrate the Unstructured MCP Server with Windsurf.

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"

Add the server

Paste the JSON configuration above into mcp_config.json

Save and reload

Windsurf will detect the new server automatically

Start using Unstructured

Open Cascade and ask: "Using Unstructured, help me..." — 6 tools available

Why Use Windsurf with the Unstructured MCP Server

Windsurf provides unique advantages when paired with Unstructured through the Model Context Protocol.

Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

Purpose-built for agentic workflows — Cascade understands context across your entire codebase and integrates MCP tools natively

JSON-based configuration means zero code changes: paste a URL, reload, and all 6 tools are immediately available

Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

Unstructured + Windsurf Use Cases

Practical scenarios where Windsurf combined with the Unstructured MCP Server delivers measurable value.

Automated code generation: ask Cascade to fetch data from Unstructured and generate models, types, or handlers based on real API responses

Live debugging: query Unstructured tools mid-session to inspect production data while debugging without leaving the editor

Documentation generation: pull schema information from Unstructured and have Cascade generate comprehensive API docs automatically

Rapid prototyping: combine Unstructured data with Cascade's code generation to scaffold entire features in minutes

Unstructured MCP Tools for Windsurf (6)

These 6 tools become available when you connect Unstructured to Windsurf via MCP:

get_workflow_details

Retrieves configuration details for a specific processing workflow

list_data_destinations

g. Vector DBs, SQL). Lists all configured target locations for processed data

list_data_sources

Lists all configured remote data connectors (e.g. S3, GCS)

list_processing_workflows

Lists all end-to-end document processing pipelines

list_workflow_jobs

Lists all active and historical workflow execution jobs

trigger_workflow_execution

Returns a job ID. Manually triggers an immediate execution of a processing workflow

Example Prompts for Unstructured in Windsurf

Ready-to-use prompts you can give your Windsurf agent to start working with Unstructured immediately.

"Show me all our active destination connectors."

"List the historical processing jobs from today."

"Trigger the engineering onboarding workflow."

Troubleshooting Unstructured MCP Server with Windsurf

Common issues when connecting Unstructured to Windsurf through the Vinkius, and how to resolve them.

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

Unstructured + Windsurf FAQ

Common questions about integrating Unstructured MCP Server with Windsurf.

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system — it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.