How to Use the Flatwork ATS MCP in AutoGen

Use AutoGen to debate hiring decisions with Flatwork ATS tools and reach consensus on candidate fit.

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Connect Flatwork ATS MCP to AutoGen

Create your Vinkius account to connect Flatwork ATS 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 Flatwork ATS with AutoGen

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Debate candidates with AutoGen

Set up a recruiter agent and a screener agent that discuss candidates fetched via `list_applicants`. They argue about skills until they agree on a status update. This prevents hasty decisions. One agent checks the resume while the other verifies the `get_job` requirements to ensure a match.

Negotiate pipeline changes

Use `update_application_status` to move candidates through your funnel. Agents must justify the move to each other before the tool call executes. This provides a built-in check for your hiring process. You see the full transcript of why a candidate was rejected or moved to the next round.

Coordinate hiring tasks

Assign an agent to monitor `list_webhooks` for new applications. When one hits, it calls `get_applicant` and notifies your team agents to start the review. The agents coordinate the entire flow. They handle the back-and-forth so you only step in when a consensus is reached.

Setup guide

Set up Flatwork ATS 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 Flatwork ATS 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="Flatwork ATS_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

The MCP adapter converts the server tools into functions the agents can invoke. The agents then negotiate which tool to call based on their assigned tasks.

Absolutely. You can give each agent a different subset of tools, letting them specialize in tasks like sourcing, screening, or scheduling.

The adapter manages the HTTP transport automatically. You just pass the server parameters to the tool wrapper, and the agents handle the rest.

They might, but that's the point. You configure them with different priorities, so they debate the best course of action before changing any records.

Every tool call is atomic and authenticated. Since agents must agree before calling `update_application_status`, the risk of conflicting or accidental state changes is minimized.

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