How to Use the Ninehire MCP in AutoGen

Let your AutoGen agents debate hiring decisions by providing them direct access to Ninehire recruitment data.

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Connect Ninehire MCP to AutoGen

Create your Vinkius account to connect Ninehire 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 Ninehire with AutoGen

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Perplexity

Debate applicants with multi-agent teams

Give your agents access to `list_job_applicants` so they can argue about which candidates move to the next round. One agent can prioritize technical skills while another focuses on experience. This MCP Server provides the raw facts agents need to reach a consensus. The debate happens in real-time, based on the data you provide.

Negotiate hiring workflows between agents

Use `list_hiring_teams` and `list_organization_departments` to let your agents decide who is responsible for an interview. They can negotiate the process without you intervening. Your agents resolve bottlenecks by checking who is available. It turns a manual task into a conversation between your internal systems.

Verify hiring status with automated agents

Set a security agent to call `list_configured_webhooks` to ensure your data syncs are active. If something breaks, the agent alerts your team immediately. This keeps your recruitment infrastructure running without constant oversight. The MCP Server provides the monitoring tools your agents need to stay informed.

Setup guide

Set up Ninehire 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 Ninehire 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="Ninehire_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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="Ninehire_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Ninehire 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 Ninehire. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Common questions about Ninehire MCP in AutoGen

Use the MCP tool adapter to inject the Ninehire functions into your assistant agents. They will then be able to call these tools during their discussions.

Yes. If your agents reach a consensus that a candidate is a fit, they can call the registration tool directly. It closes the loop on your hiring process.

Agents can debate the correct parameters for each tool call. You can set up a supervisor agent to mediate if they disagree on how to process an applicant.

It integrates directly into the assistant agent constructor. You don't need custom logic to map the tools; the adapter handles the schema conversion for you.

The data is transmitted securely from your agent to the Ninehire API. We never log or store your candidate's personal information, ensuring your privacy remains intact.

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