How to Use the Manatal MCP in AutoGen

Enable multi-agent debate for recruitment tasks using the Manatal MCP server in AutoGen.

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Connect Manatal MCP to AutoGen

Create your Vinkius account to connect Manatal 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 Manatal with AutoGen

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Debate recruitment tasks with AutoGen

Assign one agent to `list_jobs` and another to `list_candidates`. They negotiate the best matches for your open roles based on the data returned by these tools. This consensus approach helps filter out poor fits before you even open the dashboard. The agents challenge each other's conclusions until they agree on a shortlist.

Automated verification for Manatal agents

Have a security-focused agent check `get_candidate` details to ensure compliance. If the data looks incomplete, the agent flags it for a human to review. This separates the task of data gathering from the task of validation. You get a cleaner pipeline because the agents verify the records they pull.

Negotiate hiring decisions in AutoGen

Use `get_application` to feed an agent feedback from hiring managers. The agents debate whether to move a candidate forward based on this application data. This prevents biased or rushed hiring decisions. Your agents force a logical process that relies on the actual status of each application.

Setup guide

Set up Manatal 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 Manatal 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="Manatal_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

They pass the tool outputs through the conversation context. One agent calls the Manatal tool, and the result is available for the other agent to evaluate.

Absolutely. That is the point of the framework. Agents will debate the quality of a candidate found via `list_candidates` until they reach a consensus.

The server runs within a secure Vinkius sandbox. Each agent request is verified, ensuring that only authorized operations touch your recruitment data.

You pass the tool list to your AssistantAgent constructor. All agents in your group chat will then have access to the same tools to perform their duties.

The server uses ephemeral sessions and zero-trust authentication. We only pull the specific candidate records requested, ensuring your data remains private and strictly controlled.

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