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Vinkius

Veraset Connector for AI agents.

10 live capabilities

Query massive geolocation and mobility datasets with SQL.

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AI Agent

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.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

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

  1. Real-world use case 01

    Retail Foot Traffic

    A retail lead asks for a summary of store visits in a city.

  2. Real-world use case 02

    Data Validation

    A scientist needs to know if a dataset has "lat" and "long" columns.

  3. 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.

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 10 available through Veraset.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

Capability set02 / 03

05—07

3 capabilities in this set.

Part of 10 available through Veraset.

  1. 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.

  2. 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.

  3. 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.

Capability set03 / 03

08—10

3 capabilities in this set.

Part of 10 available through Veraset.

  1. 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.

  2. 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.

  3. 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 preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_WyJVIYHTFBZLnrJEVxBMkosMzJgHAkxuEd8yrcsO/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Veraset, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Veraset for the conversation.

Where the request belongs

Work Veraset can move forward.

Built around the request

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.

01

Data Scientist

Validates dataset schemas and previews raw columns while building data pipelines in Cursor.

02

Geospatial Engineer

Tests SQL queries for location signals before baking them into Python production code.

03

Retail Strategy Lead

Fetches quick summaries of competitive POI foot-traffic anomalies without touching AWS.

Bring your own AI

Change the model, client or framework. Keep Veraset connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
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  • Windsurf
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  • Zed
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  • 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