4,000+ servers built on MCP Fusion
Vinkius
Vercel AI SDKSDK
Why use Veraset MCP Server with Vercel AI SDK?

Bring Geolocation
to Vercel AI SDK

Create your Vinkius account to connect Veraset to Vercel AI SDK and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Cancel Running QueryExecute Sql QueryGenerate Download LinkGet Dataset MetadataGet Dataset SampleGet Dataset SchemaGet Query ResultsGet Query StatusList Mobility DatasetsList S3 Delivery Folders
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Veraset

What is the 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.

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.

How it works

  1. Install and subscribe to this connector
  2. Authorize it using your private Veraset API Key
  3. Start fetching and aggregating geolocation data speaking naturally with Claude, Cursor, or compatible clients.

Who is this for?

  • Data Scientists & Analysts — validate the schema and preview raw columns of massive geographic drops directly while coding data-pipelines inside Cursor.
  • Geospatial Engineers — test SQL queries logically pulling subsets of location signals (Movement/Visits datasets) prior to baking them into Python deployments.
  • Retail Strategy Leads — ask your assistant to fetch quick summaries of competitive POI foot-traffic anomalies without digging into AWS architectures.

Built-in capabilities (10)

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

Why Vercel AI SDK?

The Vercel AI SDK gives every Veraset tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

  • TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

  • Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Veraset integration everywhere

  • Built-in streaming UI primitives let you display Veraset tool results progressively in React, Svelte, or Vue components

  • Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

See it in action

Veraset in Vercel AI SDK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run Veraset with Vinkius?

The Veraset connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

View full Veraset details →
Veraset
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Veraset using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Veraset and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Veraset to Vercel AI SDK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Veraset for Vercel AI SDK

Every request between Vercel AI SDK and Veraset is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

What happens if a SQL statement to Veraset starts taking too long?

You don't need to panic or swap tools. 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.

03

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.

04

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.

05

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

06

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

07

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

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