Gingr MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Gingr as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="gingr_agent",
tools=tools,
system_message=(
"You help users with Gingr. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Gingr tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Gingr MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Gingr automatically
Why Use AutoGen with the Gingr MCP Server
AutoGen provides unique advantages when paired with Gingr through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Gingr tools to solve complex tasks
Role-based architecture lets you assign Gingr tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Gingr tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Gingr tool responses in an isolated environment
Gingr + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Gingr MCP Server delivers measurable value.
Collaborative analysis: one agent queries Gingr while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Gingr, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Gingr data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Gingr responses in a sandboxed execution environment
Gingr MCP Tools for AutoGen (10)
These 10 tools become available when you connect Gingr to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Gingr to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Gingr + AutoGen FAQ
Common questions about integrating Gingr MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Gingr with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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Anthropic's agentic CLI for terminal-first development.
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Google's framework for building production AI agents.
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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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.