How to Use the MakePlans MCP in AutoGen

Q: How do I register MakePlans tools with an AutoGen agent?

Use mcpservertools with your Vinkius HTTP MCP URL to fetch the tools. Pass the resulting tool list to your AssistantAgent constructor, and the framework handles schema conversion automatically.

Q: Can multiple AutoGen agents access MakePlans simultaneously?

Yes, multiple agents can call tools like listbookings or listavailableslots in parallel. AutoGen coordinates the execution, allowing your agents to negotiate schedules and resolve conflicts in real time.

Q: How do AutoGen agents handle failed MakePlans bookings?

If createbooking fails due to a conflict, the error is passed back to the agent conversation. The agents analyze the error, run listavailableslots to find a new time, and try the booking again.

Let AutoGen agents debate schedule conflicts and coordinate MakePlans bookings without human intervention.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect MakePlans MCP to AutoGen

Create your Vinkius account to connect MakePlans to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup MakePlans with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Resolve scheduling conflicts using AutoGen

Booking systems often fail when schedules collide. In AutoGen, a booking agent attempts to run `create_booking`, while a coordinator agent checks for overlaps using `list_bookings`. If a conflict arises, the agents negotiate a solution. They query `list_available_slots` together, find an alternative time, and update the calendar without bothering your staff.

Coordinate staff and resources across multiple agents

Managing complex bookings requires checking both staff and rooms. One AutoGen agent manages staff schedules via `list_people`, while another tracks physical assets using `list_resources`. They communicate to find a slot where both are free. Once they agree, the booking agent calls `get_resource` to lock the room and finalize the appointment details.

Automated cancellation and rescheduling workflows

When a client requests a change, this MCP Server handles the raw scheduling tasks. The customer-facing AutoGen agent gets the request, while the backend agent checks the original booking with `get_booking`. The agents coordinate to run `delete_booking` on the old slot and immediately execute `create_booking` for the new time, verifying the change with `get_service`.

Setup guide

Set up MakePlans 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 MakePlans 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="MakePlans_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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="MakePlans_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MakePlans. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect MakePlans now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about MakePlans MCP in AutoGen

Use mcp_server_tools with your Vinkius HTTP MCP URL to fetch the tools. Pass the resulting tool list to your AssistantAgent constructor, and the framework handles schema conversion automatically.

Yes, multiple agents can call tools like list_bookings or list_available_slots in parallel. AutoGen coordinates the execution, allowing your agents to negotiate schedules and resolve conflicts in real time.

If create_booking fails due to a conflict, the error is passed back to the agent conversation. The agents analyze the error, run list_available_slots to find a new time, and try the booking again.

Yes, you can filter the tools passed to the agent. By only providing list_services and list_resources, you ensure the agent can browse your catalog without making or deleting bookings.

We route all requests through secure, single-use V8 isolates that destroy themselves after running. No customer names, phone numbers, or appointment histories are logged or stored on our infrastructure. Your connection to MakePlans is fully encrypted.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript