Veraset Connector for AI agents.
10 live capabilities
Query massive geolocation and mobility datasets with SQL.
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Why people use Veraset
Veraset for Geospatial SQL and Mobility Data Analysis
This Connector lets you do it all in one chat. Just tell your agent to find the right dataset, check the columns, and run the query. You get the results back in your workspace immediately.
What Vinkius changes
You get to query billions of geolocation records using plain English instead of manual dashboard navigation.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Retail Foot Traffic
A retail lead asks for a summary of store visits in a city.
- Real-world use case 02
Data Validation
A scientist needs to know if a dataset has "lat" and "long" columns.
- Real-world use case 03
Bulk Exporting
An engineer needs to move data to a local machine.
Complete set · 10capabilities
The complete Veraset capability set.
These are the exact actions your AI can choose when you ask it to work with Veraset.
01—04
4 capabilities in this set.
Part of 10 available through Veraset.
- 01 Capability
Get dataset metadata
Pulls technical metadata for a specific mobility dataset to see what's available. It provides the high-level details you need before you start writing queries.
- 02 Capability
Get query results
Fetches the rows from a finished SQL query with support for pagination. This allows you to pull large datasets in manageable chunks.
- 03 Capability
Get query status
Shows the current progress and scanned bytes of a running SQL job. You can use this to monitor heavy queries without guessing if they're still working.
- 04 Capability
Get dataset sample
Grabs a few rows from a dataset so you can see the actual data format. It's the fastest way to verify that the columns contain the information you expect.
05—07
3 capabilities in this set.
Part of 10 available through Veraset.
- 05 Capability
Get dataset schema
Returns the column definitions and data types for any given dataset. Use this to get the exact field names before you construct your SQL.
- 06 Capability
List mobility datasets
Shows all the mobility datasets you have permission to access in Veraset. It gives you a clear overview of every data source available to your organization.
- 07 Capability
Cancel running query
Stops a currently executing SQL task immediately if it's no longer needed. This helps you clear your queue when you realize a query is going in the wrong direction.
08—10
3 capabilities in this set.
Part of 10 available through Veraset.
- 08 Capability
Execute sql query
Starts a new SQL query task against a specific Veraset dataset using ANSI SQL. It returns a unique query ID so you can track the progress of your request.
- 09 Capability
Generate download link
Creates a temporary pre-signed URL for downloading files from your S3 bucket. You can use this to grab data for local analysis without dealing with complex AWS permissions.
- 10 Capability
List s3 delivery folders
Lists the S3 prefixes where your scheduled data drops are actually delivered. This helps you find the right path for your bulk downloads.
Set up in minutes
One URL. Then ask Veraset to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Veraset from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_WyJVIYHTFBZLnrJEVxBMkosMzJgHAkxuEd8yrcsO/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Veraset, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Veraset for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_WyJVIYHTFBZLnrJEVxBMkosMzJgHAkxuEd8yrcsO/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Veraset URL.
- Step 03
Save and start
Save the connection and enable Veraset in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"veraset": {
"url": "https://edge.vinkius.com/vk_preview_WyJVIYHTFBZLnrJEVxBMkosMzJgHAkxuEd8yrcsO/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Veraset
Open Agent mode in chat and ask: "Using Veraset, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"veraset": {
"url": "https://edge.vinkius.com/vk_preview_WyJVIYHTFBZLnrJEVxBMkosMzJgHAkxuEd8yrcsO/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Veraset
Ask Copilot: "Using Veraset, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"veraset": {
"url": "https://edge.vinkius.com/vk_preview_WyJVIYHTFBZLnrJEVxBMkosMzJgHAkxuEd8yrcsO/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Veraset
Open Cascade and ask: "Using Veraset, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"veraset": {
"url": "https://edge.vinkius.com/vk_preview_WyJVIYHTFBZLnrJEVxBMkosMzJgHAkxuEd8yrcsO/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Veraset
Ask Cline: "Using Veraset, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add veraset --transport http "https://edge.vinkius.com/vk_preview_WyJVIYHTFBZLnrJEVxBMkosMzJgHAkxuEd8yrcsO/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Veraset
Ask Claude: "Using Veraset, show me...". 10 tools are ready
Where the request belongs
Work Veraset can move forward.
For analysts and engineers who are tired of the friction between raw mobility data and actionable insights. It's for the person who needs to see foot traffic patterns without building a custom UI for every request.
Data Scientist
Validates dataset schemas and previews raw columns while building data pipelines in Cursor.
Geospatial Engineer
Tests SQL queries for location signals before baking them into Python production code.
Retail Strategy Lead
Fetches quick summaries of competitive POI foot-traffic anomalies without touching AWS.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsSafeGraph
Integrate SafeGraph's premier geospatial dataset into your AI. Discover detailed POIs, analyze foot traffic patterns, and process precise building geometries seamlessly from conversational prompts.
ArcGIS
Automate mapping and spatial analysis via ArcGIS. perform geocoding, route solving, vehicle routing, and calculate origin-destination matrices from any AI agent.
Geoapify
Access powerful location intelligence. geocoding, routing, place search, and IP tracking directly from your AI agent.
Precisely
Equip your AI with precise location intelligence. geocode addresses, resolve property risks, calculate local taxes, and analyze demographics globally.
HyperTrack
Manage location tracking, trips, and geofences via HyperTrack API.
Kippy
Track GPS locations of pets and loved ones in real time with wearable devices that send alerts when they leave safe zones.
Bring your own AI
Change the model, client or framework. Keep Veraset connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Veraset.
The practical details behind the request, access and result.
What can I do with the Veraset MCP?
You can use the Veraset MCP to query massive geolocation and mobility datasets using SQL. It allows your AI client to pull data samples, check dataset schemas, and manage S3 download links directly.
How do I query mobility data with the Veraset MCP?
Simply ask your AI agent to run a specific SQL query on a dataset. The Connector handles the connection, executes the query, and brings the results back into your chat for analysis.
Can the Veraset MCP help me find S3 folders?
Yes, it can list all the S3 prefixes where your scheduled data drops are delivered. You can then ask the agent to generate a temporary download link for any file in those folders.
Is the Veraset MCP good for retail foot traffic analysis?
It's ideal for retail strategy. You can quickly pull summaries of foot traffic by store ID or location without needing to navigate complex AWS architectures or manual dashboards.
Can I use the Veraset MCP to see dataset schemas?
Yes, you can ask the agent to show you the column definitions and data types for any specific mobility dataset. This helps you write accurate SQL queries without any guesswork.
How does the Veraset MCP handle long-running SQL queries?
The Connector can track the progress of long-running jobs. You can ask your agent for a status update at any time to see how many bytes have been scanned and how far along the query is.
Can the AI really create and download a pre-signed link from Veraset's S3 directly?
Yes. Upon using the generateDownloadLinkTool, the agent will interface via Veraset's protocol using your API token, instantly retrieving an authenticated, time-sensitive download link to let you extract the immense dataset files securely.
What happens if a SQL statement to Veraset starts taking too long?
You don't need to panic or swap capabilities. Instruct your agent: cancel the running query id 'query-xx9', and the cancelQueryTool fires an immediate abort network call. The computation ends, saving extensive costs without abandoning the conversational flow.
How can I preview geolocation signals before compiling expensive queries?
Ask for the getSchemaTool followed by getSampleTool. The AI perfectly delivers the dataset definitions and outputs five physical preview rows right inside your message history, confirming expected structure formatting.
One connection away
Give your agent a direct line to Veraset.
Connect Veraset once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available