SafeGraph 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 SafeGraph through the 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: {
"safegraph": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "SafeGraph Agent",
instructions:
"You help users interact with SafeGraph " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with SafeGraph?"
);
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 SafeGraph MCP Server
Empower your AI with direct connectivity to SafeGraph, the foundational geospatial and mobility dataset trusted by top analytics and enterprise organizations globally. This robust integration converts your AI into an expert geographical analyst capable of retrieving precise intelligence surrounding global structures, Points of Interest (POIs), and detailed patterns—all without touching complex database pipelines.
Mastra's agent abstraction provides a clean separation between LLM logic and SafeGraph tool infrastructure. Connect 10 tools through the 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
- Rich Context on POIs — Fetch exhaustive lists of businesses or brands within targeted radii (
search_distance_radius,search_brand_places). You can also slice the results according to their designated NAICS industry codes region-to-region (search_industry_naics). - Deep Geospatial Footprints — Look up exact WKT polygons for targeted individual buildings (
lookup_building_geometry) or identify everything bounded inside designated custom city borders (search_wkt_polygon). Understand structural hierarchies immediately by querying parent containers like malls or industrial complexes (lookup_parent_polygon). - Pedestrian and Mobility Insights — Audit recent visit metrics, dwell times, and absolute foot traffic measurements attached to individual structures leveraging historical aggregation points (
lookup_place_patterns). - Native GraphQL Exploration — Pass perfectly structured GraphQL queries straight to the root mapping infrastructure for fully-unlocked edge cases (
graphql_raw_query). Request and resolve bulk Placekeys efficiently on demand (batch_lookup_placekeys).
The SafeGraph 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 SafeGraph to Mastra AI via MCP
Follow these steps to integrate the SafeGraph 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 SafeGraph via MCP
Why Use Mastra AI with the SafeGraph MCP Server
Mastra AI provides unique advantages when paired with SafeGraph through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add SafeGraph 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 SafeGraph 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
SafeGraph + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the SafeGraph MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query SafeGraph, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed SafeGraph as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query SafeGraph on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using SafeGraph tools alongside other MCP servers
SafeGraph MCP Tools for Mastra AI (10)
These 10 tools become available when you connect SafeGraph to Mastra AI via MCP:
batch_lookup_placekeys
Provide them as a JSON array. Performs multiple Placekey lookups in a single request
graphql_raw_query
Provide the query string and optional variables. Executes a raw GraphQL query against the SafeGraph API
lookup_building_geometry
Retrieves the building footprint (polygon) for a specific Placekey
lookup_parent_polygon
Identifies the parent Placekey for a location (e.g., mall or airport)
lookup_place_patterns
Retrieves historical foot traffic patterns for a specific Placekey
lookup_placekey
Retrieves detailed attributes for a specific location by its Placekey
search_brand_places
g., "Starbucks") in a specific city. Searches for locations of a specific brand in a city
search_distance_radius
Specify lat, lon, and radius in meters. Searches for places within a specific radius from a point
search_industry_naics
Searches for places by NAICS industry code and region
search_wkt_polygon
Finds all places within a specific geometric polygon (WKT)
Example Prompts for SafeGraph in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with SafeGraph immediately.
"Search for all the Starbucks branches strictly inside the city of Seattle, WA."
"Check what the detailed building geometry polygon is for Placekey '22m-xyz-1234'."
"Can you gather the historical pedestrian traffic patterns evaluating typical visit frequencies around Placekey '123-abc-987'?"
Troubleshooting SafeGraph MCP Server with Mastra AI
Common issues when connecting SafeGraph to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSafeGraph + Mastra AI FAQ
Common questions about integrating SafeGraph 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 SafeGraph 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 SafeGraph to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.