How to Use the Moka HR MCP in AutoGen

Q: How do I register Moka HR tools with AutoGen agents?

You install the autogen-extmcp package and use the mcpservertools helper to fetch the tools. You then pass this tool list directly to your AssistantAgent during initialization.

Q: Where is my candidate recruitment data stored during agent debates?

Your candidate files and application history retrieved via getcandidate remain entirely within your execution environment. Vinkius runs the MCP server in an ephemeral sandbox, ensuring your recruitment data is never logged or exposed.

Let your AutoGen agents debate and collaborate on Moka HR candidate shortlists and interview planning.

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Connect Moka HR MCP to AutoGen

Create your Vinkius account to connect Moka HR 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 Moka HR with AutoGen

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Let Agents Debate Candidate Quality

The `get_application` tool allows you to feed candidate submission details directly into an AutoGen multi-agent conversation. One agent can analyze the candidate's technical skills while another reviews their cultural alignment, debating the fit before making a decision. This collaborative approach reduces individual bias and ensures a more thorough review. The agents discuss the candidate's pros and cons, eventually converging on a recommendation that they write back to your system.

Coordinate Interviews via Multi-Agent Debates

You can use `list_interviews` to let your scheduler agent coordinate with a preparation agent on upcoming candidate meetings. The scheduler agent pulls the list of upcoming interviews, while the prep agent uses `get_interview` to gather the specific details. Together, they draft personalized briefing documents for your hiring managers. By splitting the tasks between specialized agents, you get highly detailed prep materials without overloading a single LLM context.

Manage Job Postings with an MCP Server Agent

The `list_jobs` tool gives your AutoGen agents the ability to monitor active roles and suggest adjustments based on applicant volume. An analyst agent can check active jobs, compare them to candidate counts from `list_candidates`, and flag roles that need attention. If a job has too few applicants, the agents can discuss whether to update the job description or open new sourcing channels. They handle the analysis and present you with a clear action plan.

Setup guide

Set up Moka HR 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 Moka HR 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="Moka HR_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

You install the `autogen-ext[mcp]` package and use the `mcp_server_tools` helper to fetch the tools. You then pass this tool list directly to your `AssistantAgent` during initialization.

Yes, your agents can share access to the same tool pool. For example, one agent can call `list_candidates` to find profiles while another uses `get_hiring_summary` to analyze the data.

Your agents use conversational consensus to resolve conflicts before executing an MCP tool. They debate the candidate's qualifications in the chat history and only call the tool once they agree.

Yes, you can connect your AutoGen agents using either stdio or the Streamable HTTP transport. This gives you the flexibility to run your agents locally or deploy them in a cloud environment.

Your candidate files and application history retrieved via `get_candidate` remain entirely within your execution environment. Vinkius runs the MCP server in an ephemeral sandbox, ensuring your recruitment data is never logged or exposed.

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