How to Use the MyTime MCP in AutoGen

Q: How do I configure the MyTime MCP Server for AutoGen?

Install autogen-extmcp. Use mcpservertools with a StreamableHttpServerParams configuration, and pass the returned list to your AssistantAgent.

Build multi-agent systems in AutoGen that debate scheduling conflicts and manage MyTime operations through consensus.

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Create your Vinkius account to connect MyTime 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 MyTime with AutoGen

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Multi-Agent Scheduling Conflict Resolution

`get_availability` and `list_appointments` give your AutoGen agents the hard data they need to negotiate schedule changes. You spin up a customer-facing agent that wants to book a slot, and an operations agent that protects staff breaks. They debate the best time based on the API responses. The agents do not just execute the first available option. They pull the schedule, identify a double-booking risk, and discuss alternatives. The system reaches a consensus before confirming the final slot, preventing the cascading errors common in single-agent setups.

Assign Staff via the MyTime MCP Server

`list_staff` and `get_appointment` feed directly into your resource allocation debate. A performance agent analyzes the appointment load, while a routing agent checks who is on shift. They pass the JSON outputs back and forth in the conversation thread. You watch the agents argue about which staff member is best suited for a specific service. The routing agent queries the API, reads the staff profiles, and proposes a match. The performance agent approves it, and the system finalizes the decision automatically.

Audit Reviews and Business Operations

`list_reviews` and `get_business_info` let your compliance agents verify operational quality. A sentiment agent reads the latest customer feedback while a policy agent checks the business hours. They flag discrepancies between advertised services and actual customer experiences. AutoGen's architecture means these audits happen autonomously. The agents query the tools, compile their findings, and generate a joint report. You get a fully vetted operational summary produced by competing AI perspectives.

Setup guide

Set up MyTime 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 MyTime 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="MyTime_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent MyTime 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="MyTime_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent MyTime 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 MyTime. 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 MyTime MCP in AutoGen

Install `autogen-ext[mcp]`. Use `mcp_server_tools` with a StreamableHttpServerParams configuration, and pass the returned list to your AssistantAgent.

Yes. You assign the tools to specific agents based on their role. The scheduling agent gets `list_appointments`, while the audit agent gets `list_reviews`.

If an endpoint times out, the executing agent reports the failure in the conversation chat. The other agents read the error and debate alternative approaches, like querying a different date range.

The McpToolAdapter handles all schema translations in the background. Your agents see native Python function signatures.

The agents process raw review text and reviewer names entirely within the isolated conversation thread. The MCP protocol ensures this data remains in memory and disappears when the session terminates.

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