Digify MCP Server for Cursor 10 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.
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{
"mcpServers": {
"digify": {
"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 Digify MCP Server
Integrate Digify, the leading document security and virtual data room (VDR) platform, directly into your AI workflow. Manage your secure files, monitor data room activity, and track detailed document analytics using natural language.
Cursor's Agent mode turns Digify into an in-editor superpower. Ask Cursor to generate code using live data from Digify and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Secure File Oversight — List and retrieve detailed information and security settings for all your protected files.
- VDR Management — Monitor your virtual data rooms, including member lists and collaborative activity.
- Engagement Analytics — Retrieve detailed statistics on who viewed your files, for how long, and from where.
- Access Control — List recipients and monitor their specific viewing rights and permissions for secure assets.
The Digify MCP Server exposes 10 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 Digify to Cursor via MCP
Follow these steps to integrate the Digify 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 Digify
Open Agent mode in chat and ask: "Using Digify, help me...". 10 tools available
Why Use Cursor with the Digify MCP Server
Cursor AI Code Editor provides unique advantages when paired with Digify 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
Digify + Cursor Use Cases
Practical scenarios where Cursor combined with the Digify 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
Digify MCP Tools for Cursor (10)
These 10 tools become available when you connect Digify to Cursor via MCP:
get_dataroom_details
Get detailed settings and member lists for a specific data room
get_file_access_statistics
Retrieve detailed analytics on who viewed your file and for how long
get_secure_file_details
Get detailed information and security settings for a specific file
get_security_account_metadata
Retrieve metadata and usage limits for your Digify account
list_expired_secure_files
Identify secure files that have reached their expiration date (mock logic)
list_file_recipients
List all people who have been granted access to a specific secure file
list_secure_files
List all secure files you have uploaded to Digify
list_virtual_datarooms
List all virtual data rooms (VDRs) in your account
quick_file_audit
Retrieve a high-level summary of file views and security rights
search_secure_files
Search for secure files by filename keyword
Example Prompts for Digify in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Digify immediately.
"List all secure files I've uploaded."
"Who has viewed the 'M&A Proposal' file and for how long?"
"Show me the details for our 'Investor Data Room'."
Troubleshooting Digify MCP Server with Cursor
Common issues when connecting Digify to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Digify + Cursor FAQ
Common questions about integrating Digify 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 Digify with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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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 Digify to Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
