Veraset 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": {
"veraset": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
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About Veraset MCP Server
Bind the massive scale of Veraset geolocation data directly to your preferred AI conversational agent. Eradicate context switching when analyzing billions of Points of Interest (POI) and mobile signal attributes.
Cursor's Agent mode turns Veraset into an in-editor superpower. Ask Cursor to generate code using live data from Veraset 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
- Live SQL Querying — Prompt your LLM agent to construct, dispatch, and execute ANSI SQL directly aimed at Veraset databases to compute geolocation aggregates.
- Rapid Execution Management — Check on long-running geolocation jobs, pull back the output tables seamlessly, or ruthlessly cancel intensive queries straight from your text box.
- Dataset Profiling — Scan all your available Veraset packages, request quick dataset schemas, or instantly preview data samples to ensure accuracy before executing queries.
- Delivery Bucket Access — Query the secure S3 delivery prefixes attached to your organization for bulk downloads and dynamically generate pre-signed file keys in seconds.
The Veraset 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 Veraset to Cursor via MCP
Follow these steps to integrate the Veraset 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 Veraset
Open Agent mode in chat and ask: "Using Veraset, help me...". 10 tools available
Why Use Cursor with the Veraset MCP Server
Cursor AI Code Editor provides unique advantages when paired with Veraset 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
Veraset + Cursor Use Cases
Practical scenarios where Cursor combined with the Veraset 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
Veraset MCP Tools for Cursor (10)
These 10 tools become available when you connect Veraset to Cursor via MCP:
cancel_running_query
Immediately aborts a currently executing SQL task
execute_sql_query
Provide a dataset ID and ANSI SQL. Returns a query ID. Starts a new SQL query task against a Veraset dataset
generate_download_link
Generates a temporary pre-signed URL for an S3 file download
get_dataset_metadata
Retrieves technical metadata for a specific mobility dataset
get_dataset_sample
Retrieves a quick sample of the first few rows of a dataset
get_dataset_schema
Retrieves the column definitions and data types for a dataset
get_query_results
Supports pagination. Retrieves the result rows from a completed SQL query
get_query_status
Checks the progress of a running SQL query
list_mobility_datasets
Identify accessible mobility datasets in Veraset
list_s3_delivery_folders
Lists S3 prefixes where scheduled data drops are delivered
Example Prompts for Veraset in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Veraset immediately.
"List all our provisioned delivery folder buckets for S3 mobility packets."
"Get a basic preview 10-row sample from the dataset 'movement_global'."
"Execute an aggregation query on 'dataset-v5' grouping total foot traffic by 'store_id' and get the current execution status."
Troubleshooting Veraset MCP Server with Cursor
Common issues when connecting Veraset to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Veraset + Cursor FAQ
Common questions about integrating Veraset 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 Veraset 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 Veraset to Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.