How to Use the MakePlans MCP in AutoGen

Enable multi-agent debate and consensus on booking tasks with the MakePlans MCP Server and AutoGen.

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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.

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Setup MakePlans with AutoGen

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Perplexity

Debate booking decisions with AutoGen agents

Configure multiple agents to negotiate appointment details using `create_new_appointment`. One agent might challenge the timing, while another verifies the `service_id` availability. This consensus-driven approach prevents booking errors. By having agents audit each other's tool calls, you ensure that every appointment adheres to your operational rules.

Automate customer onboarding with agent groups

Use a specialized agent to manage `create_new_customer` calls. Other agents in the group can then verify the new ID against the `list_customers` output before proceeding. Your agents handle the entire handshake process. They communicate to resolve any discrepancies in customer data before finalizing the profile creation.

Challenge booking logic with deliberation

Assign agents to monitor `list_appointments` for potential conflicts. They debate whether a new booking fits into the existing schedule based on the returned resource data. The agents converge on a decision that balances customer needs with staff availability. This adds a layer of human-like oversight to your automated scheduling pipeline.

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.

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Common questions about MakePlans MCP in AutoGen

Pass the tool list to the AssistantAgent constructor after connecting via the MCP adapter. Your agents can then discuss and execute bookings using the available tools.

Yes. You can define agents with different roles, such as a validator and a scheduler, to ensure all API calls are checked for accuracy before execution.

The debate continues until the agents reach a consensus or hit a limit you define. This ensures that risky bookings are flagged for human review if needed.

Security is enforced at the server level through the Vinkius gateway. Each agent interaction is isolated, and all API calls require your authenticated endpoint token.

Only grant the specific agents responsible for customer creation access to the `create_new_customer` tool. This limits the exposure of personal contact data within your agent group.

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