Gingr MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Gingr through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Gingr Assistant",
instructions=(
"You help users interact with Gingr. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Gingr"
)
print(result.final_output)
asyncio.run(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.
The OpenAI Agents SDK auto-discovers all 10 tools from Gingr through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Gingr, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Gingr MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Gingr
Why Use OpenAI Agents SDK with the Gingr MCP Server
OpenAI Agents SDK provides unique advantages when paired with Gingr through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Gingr + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Gingr MCP Server delivers measurable value.
Automated workflows: build agents that query Gingr, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Gingr, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Gingr tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Gingr to resolve tickets, look up records, and update statuses without human intervention
Gingr MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Gingr to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Gingr to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Gingr + OpenAI Agents SDK FAQ
Common questions about integrating Gingr MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.