How to Use the Factorial MCP in AutoGen

Enable multi-agent debate in AutoGen by connecting Factorial tools for collaborative HR decision making.

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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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Debate-driven HR in AutoGen

Set up a specialized agent to challenge `clock_in` and `clock_out` logs. Another agent verifies the data against `list_shifts` to ensure accuracy. The system reaches consensus before finalizing any HR task. This prevents errors caused by relying on a single, unverified source.

Automated consensus with Factorial

Agents negotiate access to `list_leaves` and `list_payslips`. They check data integrity before presenting a final summary to you. This deliberation process catches anomalies automatically. It ensures your HR reporting is accurate and vetted by multiple perspectives.

Streamlined AutoGen agent setup

The adapter handles the conversion of all 12 tools automatically. You pass the tools to your agents, and they start communicating immediately. It removes the need for manual schema mapping. You focus on defining the agents' roles while the server handles the API connectivity.

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 →

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

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place for every integration

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

Common questions about Factorial MCP in AutoGen

Yes. You define agents with different goals that verify tool outputs before acting.

You register the tool list with the AssistantAgent, allowing all participants to invoke them.

It does. The tools act as a shared data source that agents query during their conversation.

You get a system where data is cross-referenced by different agents to minimize errors.

The server enforces token-based access. You limit the agent's capability by passing only the tools necessary for its specific role.

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

Mastra AI sdk-typescript

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