How to Use the Factorial MCP in AutoGen

Q: Can I use the Factorial MCP Server in an AutoGen agent group?

Install the autogen-extmcp package to integrate the MCP tools directly. Use mcpservertools with the server URL and pass the resulting tool list directly to your AssistantAgent constructor.

Q: Does the AutoGen integration support streamable HTTP for Factorial tools?

Yes, you use the StreamableHttpServerParams to connect to your Vinkius endpoint. This handles schema conversion and tool execution over HTTP.

Deploy AutoGen agents to debate, audit, and coordinate Factorial HR tasks like time-off approvals and shift tracking.

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Connect Factorial MCP to AutoGen

Create your Vinkius account to connect Factorial 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 Factorial with AutoGen

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Resolve scheduling conflicts with AutoGen

The `list_attendance_shifts` tool provides real-time shift data to your AutoGen multi-agent debate loops using the MCP standard. A scheduling agent pulls the shift logs while a compliance agent analyzes them, allowing them to discuss discrepancies and reach a consensus. This collaborative setup ensures that shift errors are flagged and debated before any payroll reports are finalized. The conversation history acts as a clear audit log of how the decision was reached.

Audit employee contracts using this MCP Server

The `list_employee_contracts` tool feeds active employment contracts into your AutoGen agent conversations. One agent checks the contract terms while another flags compliance issues, negotiating the final status in a structured chat. The `McpToolAdapter` handles the schema conversion automatically, so your agents can call these tools without custom parsing code. This lets you focus on designing the debate logic rather than data formatting.

Coordinate team resource planning through agent dialogue

The `list_company_teams` tool allows your AutoGen agents to map out the company hierarchy during resource planning discussions. The agents query the team structures and discuss personnel allocation based on current project demands. You pass these tools directly into the `AssistantAgent` constructor using the streamable HTTP transport parameter. This gives your conversational agents direct access to organizational data during their planning sessions.

Setup guide

Set up Factorial 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 Factorial 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="Factorial_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Get your connection token →

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Common questions about Factorial MCP in AutoGen

Install the `autogen-ext[mcp]` package to integrate the MCP tools directly. Use `mcp_server_tools` with the server URL and pass the resulting tool list directly to your `AssistantAgent` constructor.

Yes, you can set up one agent to retrieve leave requests and another to check team capacity. They will chat to determine if the leave request conflicts with team goals.

Yes, you use the `StreamableHttpServerParams` to connect to your Vinkius endpoint. This handles schema conversion and tool execution over HTTP.

The agents continue their conversation, exchanging arguments based on the tool outputs until they meet your configured consensus criteria or max round limit.

Your shift logs and attendance records pass directly through the Vinkius secure V8 sandbox to your local environment. No HR data is stored or processed externally, keeping your attendance records private.

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