How to Use the MyHR MCP in AutoGen

Q: How do AutoGen agents collaborate on MyHR compliance?

You set up a group chat where one agent pulls data via listtimesheets using the MCP Server interface and another acts as an AU/NZ compliance auditor. They analyze the hours together, debate potential legal violations, and output a clean, verified list of approved shifts.

Q: Can I run MyHR write tools using AutoGen agents?

Yes, agents can execute writes like createabsencerequest once they reach a consensus. The framework ensures that write operations only trigger after both your security and operational agents approve the request payload.

Q: How do agents handle missing office or department data?

The agents query listoffices and listdepartments to locate the missing parameters. They share this metadata in their conversation thread, ensuring the correct IDs are used when executing employee setup tasks.

Deploy collaborative AutoGen agents to debate compliance and resolve timesheet conflicts automatically.

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Connect MyHR MCP to AutoGen

Create your Vinkius account to connect MyHR 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 MyHR with AutoGen

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Resolve timesheet disputes through AutoGen debate

The `list_timesheets` tool feeds raw labor logs into a multi-agent discussion loop. One agent checks the hours for compliance with regional laws, while another reviews operational budgets. They debate discrepancies and settle on a corrected record before committing any payroll data. This collaborative approach ensures that no single agent makes a unilateral decision about employee hours. By pulling data through this MCP Server, the agents have the exact same context. They resolve scheduling anomalies quickly without requiring human intervention for every minor fix.

Validate new hires using multi-agent consensus

The `create_employee` tool executes only after your onboarding and compliance agents agree on the profile details. The onboarding agent gathers the raw hire data, while the compliance agent verifies it against valid options from `list_gender_options` and `list_marital_statuses`. They negotiate the final payload before writing to the database. This setup guarantees that every new record matches your strict organizational standards. By checking options against `list_offices` and `list_departments` first, the agents prevent database corruption. You get clean, fully compliant employee files without manual oversight.

Manage leave requests with AutoGen workflows

The `create_absence_request` tool allows your agents to log time-off requests once they verify staffing coverage. A scheduling agent checks active absences using `list_absences` through the MCP Server, while a manager agent reviews team performance. They deliberate on whether the business can support the request before approving it. If the agents find a conflict, they work together to propose alternative dates. Once they reach a consensus, the model triggers the write operation to update the database. This keeps your teams fully staffed while respecting employee leave entitlements.

Setup guide

Set up MyHR 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 MyHR 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="MyHR_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

You set up a group chat where one agent pulls data via `list_timesheets` using the MCP Server interface and another acts as an AU/NZ compliance auditor. They analyze the hours together, debate potential legal violations, and output a clean, verified list of approved shifts.

Yes, agents can execute writes like `create_absence_request` once they reach a consensus. The framework ensures that write operations only trigger after both your security and operational agents approve the request payload.

Single agents often overlook complex regional labor laws when scheduling. AutoGen lets you assign one agent to watch budget limits while another monitors Fair Work Act rules, ensuring your HR decisions are thoroughly debated and legally sound.

The agents query `list_offices` and `list_departments` to locate the missing parameters. They share this metadata in their conversation thread, ensuring the correct IDs are used when executing employee setup tasks.

Every API call touching employee records and timesheets is isolated within a secure V8 sandbox. Vinkius manages the authentication tokens directly, so your sensitive payroll data is never logged or exposed during agent debates.

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