How to Use the Gingr MCP in AutoGen

Q: How do AutoGen agents negotiate Gingr check-in schedules?

One agent calls listactivecheckins to check current capacity, while another retrieves the owner's booking via listownerreservations. They debate the run assignments in the AutoGen conversation history until they agree on a slot.

Q: Can I use AutoGen to find a Gingr owner's contact info?

Yes, your primary AutoGen agent can invoke findownerbyphone or findownerbyemail to locate the account. It then shares the resulting owner ID with the other agents in the conversation to fetch full profile details.

Q: How does the AutoGen agent verify the Gingr connection using this MCP Server?

The AutoGen security agent runs verifyapiconnection at the start of the conversation. If the connection fails, the agent flags the error to the group and halts the discussion to prevent execution attempts on broken endpoints.

Q: How do AutoGen agents handle custom pet alerts from Gingr during a debate?

The AutoGen logistics agent calls searchpetcustomfields to find medical or behavioral alerts. It then presents these constraints to the scheduling agent to ensure the pet is placed in an appropriate run.

Resolve complex Gingr booking conflicts through AutoGen debates powered by this MCP Server.

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Setup Gingr with AutoGen

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Coordinate multi-agent check-ins with AutoGen.

`list_active_checkins` provides the real-time operational feed that your AutoGen agents need to coordinate daily kennel tasks. A receptionist agent and a kennel manager agent in AutoGen can discuss the list to assign playgroups without human intervention. These AutoGen agents debate the current capacity limits based on the active check-in count retrieved from Gingr. By discussing the physical limits of your facility, the AutoGen group arrives at optimal scheduling decisions for each dog.

Resolve booking conflicts using this AutoGen MCP Server.

`list_owner_reservations` allows your AutoGen agents to analyze booking histories and identify scheduling overlaps. When a customer requests a last-minute change, an AutoGen booking agent and a logistics agent negotiate the best available slot. They compare the request against the digital whiteboard retrieved by `get_digital_whiteboard` within the AutoGen conversation. This consensus-driven approach ensures that your AutoGen agents never double-book a luxury suite or place incompatible dogs in adjacent runs.

Cross-reference custom owner profiles via AutoGen.

`search_owner_custom_fields` lets your AutoGen security and billing agents review custom client notes before approving a booking. One AutoGen agent checks outstanding balances while another reviews special pet handling requests. They debate within AutoGen whether to accept a reservation based on these custom parameters from Gingr. Once they reach a consensus, the primary AutoGen assistant agent reports the final recommendation to your front-desk team.

Setup guide

Set up Gingr MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Gingr tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Gingr_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Gingr data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Gingr_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Gingr data")
    print(result.messages[-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Gingr. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Gingr MCP in AutoGen

One agent calls `list_active_checkins` to check current capacity, while another retrieves the owner's booking via `list_owner_reservations`. They debate the run assignments in the AutoGen conversation history until they agree on a slot.

Yes, your primary AutoGen agent can invoke `find_owner_by_phone` or `find_owner_by_email` to locate the account. It then shares the resulting owner ID with the other agents in the conversation to fetch full profile details.

The AutoGen security agent runs `verify_api_connection` at the start of the conversation. If the connection fails, the agent flags the error to the group and halts the discussion to prevent execution attempts on broken endpoints.

The AutoGen logistics agent calls `search_pet_custom_fields` to find medical or behavioral alerts. It then presents these constraints to the scheduling agent to ensure the pet is placed in an appropriate run.

The MCP Server uses secure, local-only transport channels to pass data between Gingr and your AutoGen agents. Your custom pet notes and owner contact info are never cached or stored by Vinkius, maintaining strict compliance with your facility's privacy standards.

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