Radar 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 Radar 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: {
"radar": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Radar Agent",
instructions:
"You help users interact with Radar " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Radar?"
);
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 Radar MCP Server
Integrate Radar with an AI agent to bring enterprise-level location intelligence directly to your workflow. This server allows the AI to perform complex spatial lookups and geographical computations on your behalf.
Mastra's agent abstraction provides a clean separation between LLM logic and Radar 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
- Geocoding & Reverse Geocoding — Convert readable addresses into exact coordinates (latitude/longitude), or vice versa.
- Route Calculation — Determine distance and driving times between multiple locations, predicting transit metrics efficiently.
- Geofencing & Context — Check whether specific coordinates fall within defined geographical boundaries (e.g., regions, stores, administrative borders).
- IP Geolocation — Locate a user or device strictly based on an IP address.
The Radar 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 Radar to Mastra AI via MCP
Follow these steps to integrate the Radar 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 Radar via MCP
Why Use Mastra AI with the Radar MCP Server
Mastra AI provides unique advantages when paired with Radar through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Radar 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 Radar 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
Radar + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Radar MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Radar, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Radar as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Radar on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Radar tools alongside other MCP servers
Radar MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Radar to Mastra AI via MCP:
autocomplete
Provides address or place suggestions as a user types
calculate_route_distance
Calculates travel distance and duration between two points
calculate_routing_matrix
Calculates travel times and distances between multiple origins and destinations
forward_geocode
Converts a human-readable address into geographic coordinates (latitude and longitude)
get_location_context
Retrieves contextual information for a location, such as geofences and weather
ip_geocode
Retrieves geographic location information based on an IP address
reverse_geocode
Converts geographic coordinates into a human-readable address
search_geofences
Searches for active geofences near a specific location
search_places
Searches for nearby places (POIs) based on coordinates
validate_address
Validates and cleans up a structured address
Example Prompts for Radar in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Radar immediately.
"Geocode '1600 Amphitheatre Parkway, Mountain View, CA'."
"Find the driving distance between my office in San Francisco (lat, lng) and the San Jose airport."
"Locate the country based on the IP address 8.8.8.8."
Troubleshooting Radar MCP Server with Mastra AI
Common issues when connecting Radar to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpRadar + Mastra AI FAQ
Common questions about integrating Radar 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 Radar 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 Radar to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.