Gingr 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 Gingr 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: {
"gingr": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Gingr Agent",
instructions:
"You help users interact with Gingr " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Gingr?"
);
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 Gingr MCP Server
Connect your Gingr pet care management account to any AI agent to automate your data extraction and customer support workflows through the Model Context Protocol (MCP). Gingr is the leading platform for kennel, daycare, and grooming businesses. This MCP server enables you to retrieve detailed pet owner profiles, track upcoming and past reservations, and monitor real-time facility check-ins directly through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Gingr 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.
Key Features
- Owner & Pet Insights — Retrieve complete profile metadata for pet owners using IDs, email addresses, or phone numbers.
- Reservation Tracking — List all boarding, daycare, and grooming reservations for any owner, filtered by status (future or currently checked-in).
- Digital Whiteboard Oversight — Access 'Back of House' data to see real-time facility activity and room assignments for any location.
- Custom Data Discovery — Search across custom metadata fields for both owners and animals to find specific regional or internal attributes.
- Facility Transparency — List all business locations and facilities configured in your Gingr app.
- Read-only Security — Safely query your pet care database with a secure, read-only integration designed for data visibility.
- Real-time Synchronization — Keep your facility operations data accessible to your AI assistant without leaving your primary workspace.
The Gingr 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 Gingr to Mastra AI via MCP
Follow these steps to integrate the Gingr 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 Gingr via MCP
Why Use Mastra AI with the Gingr MCP Server
Mastra AI provides unique advantages when paired with Gingr through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Gingr 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 Gingr 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
Gingr + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Gingr MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Gingr, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Gingr as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Gingr on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Gingr tools alongside other MCP servers
Gingr MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Gingr to Mastra AI via MCP:
find_owner_by_email
Search owner by email
find_owner_by_phone
Search owner by phone
get_digital_whiteboard
View active whiteboard
get_pet_owner_details
Get owner profile
list_active_checkins
List currently checked-in
list_business_locations
List pet care facilities
list_owner_reservations
) for a specific owner. List past/future bookings
search_owner_custom_fields
Search custom owner data
search_pet_custom_fields
Search custom pet data
verify_api_connection
Check connection
Example Prompts for Gingr in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Gingr immediately.
"Find pet owner details for 'john@email.com'."
"List all future reservations for owner ID '12345'."
"Show me the current digital whiteboard for location '1'."
Troubleshooting Gingr MCP Server with Mastra AI
Common issues when connecting Gingr to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpGingr + Mastra AI FAQ
Common questions about integrating Gingr 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 Gingr 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 Gingr to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.