
Connect Veraset to ChatGPT, Claude and Gemini
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Query billions of geolocation points through your AI agent.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 10 capabilities
We ship only the actions that matter.
01-04
4 capabilities in this set.
Part of 10 available through Veraset.
- 01
Get query status
Checks the current progress of a running SQL query.
- 02
Get dataset sample
Retrieves a small sample of the first few rows from a dataset for quick inspection.
- 03
Cancel running query
Immediately stops a SQL task that is currently executing.
- 04
List s3 delivery folders
Lists the S3 prefixes where your scheduled data drops are stored.
05-07
3 capabilities in this set.
Part of 10 available through Veraset.
- 05
Execute SQL query
Starts a new ANSI SQL query task against a specific Veraset dataset ID.
- 06
Generate download link
Creates a temporary pre-signed URL to download a file from S3.
- 07
Get dataset metadata
Fetches technical metadata for a specific mobility dataset.
08-10
3 capabilities in this set.
Part of 10 available through Veraset.
- 08
Get dataset schema
Returns the column definitions and data types for a given dataset.
- 09
Get query results
Retrieves the rows from a completed SQL query with support for pagination.
- 10
List mobility datasets
Identifies all the mobility datasets available to your account.
Real work
What teams actually run
Foot Traffic Analysis
Ask your agent to aggregate visit counts for specific store IDs to identify traffic trends.
Schema Validation
Quickly check column types and names in a new mobility dataset before writing production code.
Bulk Data Retrieval
Generate secure links to download large parquet files from your S3 delivery buckets.
Query Debugging
Monitor the progress of a massive SQL job and cancel it if the results look incorrect.
Automate a task
Put Veraset to work on one thing.
Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.
One connector, every AI
Veraset works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Veraset to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
935ms average. Fast in production.
Veraset is checked daily against the live service.
- Fastest day
- 662ms
- Slowest day
- 1073ms
- 14-day trend
- Stable0%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Veraset, so you can see the experience inside your AI.
It does not authenticate your account with Veraset. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Veraset Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_WyJVIYHTFBZLnrJEVxBMkosMzJgHAkxuEd8yrcsO/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Veraset capabilities are ready to use.
{
"mcpServers": {
"veraset-mcp": {
"url": "https://edge.vinkius.com/vk_preview_WyJVIYHTFBZLnrJEVxBMkosMzJgHAkxuEd8yrcsO/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? Set up Veraset in Claude and other AIs
Who it's for
Built for the work Veraset owners hand off.
This MCP is built for professionals working with large-scale human movement and point-of-interest data.
- 01
Data Scientists
They use the agent to validate schemas and preview raw columns while building data pipelines in Cursor.
- 02
Geospatial Engineers
They test SQL queries on movement and visit datasets before deploying them in Python.
- 03
Retail Strategy Leads
They ask for quick foot traffic summaries and POI anomalies without touching AWS infrastructure.
FAQ
Questions Veraset owners ask.
- 01
How do I connect my Veraset account?
You subscribe to the MCP through Vinkius and then provide your private Veraset API Key to authorize the connection.
- 02
Which AI clients can I use with this MCP?
You can use any MCP-compatible client, including Claude, Cursor, and Windsurf.
- 03
Can I run custom SQL queries?
Yes, the execute_sql_query capability allows your agent to run ANSI SQL against Veraset datasets.
- 04
How do I download large datasets from S3?
You can use the list_s3_delivery_folders capability to find your data and the generate_download_link capability to get a temporary pre-signed URL.
- 05
What happens if a query is taking too long?
You can use the cancel_running_query capability to immediately abort any active SQL task.
- 06
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.
- 07
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.
- 08
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.
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Connect Veraset to Claude, Cursor, ChatGPT & more
