Unstructured MCP Server for Cursor 6 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
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.




{
"mcpServers": {
"unstructured": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Cursor's Agent mode turns Unstructured into an in-editor superpower. Ask Cursor to generate code using live data from Unstructured and it fetches, processes, and writes. all in a single agentic loop. 6 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the Unstructured MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Unstructured
Open Agent mode in chat and ask: "Using Unstructured, help me...". 6 tools available
Why Use Cursor with the Unstructured MCP Server
Cursor AI Code Editor provides unique advantages when paired with Unstructured through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Unstructured + Cursor Use Cases
Practical scenarios where Cursor combined with the Unstructured MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Unstructured MCP Tools for Cursor (6)
These 6 tools become available when you connect Unstructured to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting Unstructured to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Unstructured + Cursor FAQ
Common questions about integrating Unstructured MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect Unstructured with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Unstructured to Cursor
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
