Veraset MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Veraset through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"veraset": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Veraset Agent",
instructions:
"You help users interact with Veraset " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Veraset?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Veraset tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Veraset MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Veraset via MCP
Why Use Mastra AI with the Veraset MCP Server
Mastra AI provides unique advantages when paired with Veraset through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Veraset without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Veraset tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Veraset + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Veraset MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Veraset, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Veraset as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Veraset on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Veraset tools alongside other MCP servers
Veraset MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Veraset to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Veraset to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpVeraset + Mastra AI FAQ
Common questions about integrating Veraset MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.