How to Use the Jaicob MCP in AutoGen

Build AutoGen multi-agent teams that debate and coordinate on Jaicob candidate placement.

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Connect Jaicob MCP to AutoGen

Create your Vinkius account to connect Jaicob 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 Jaicob with AutoGen

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Coordinate recruitment decisions with AutoGen

AutoGen lets you set up specialized agents that discuss hiring decisions. One agent can pull active jobs via `list_vacancies` while another checks applicant profiles with `list_candidates` to debate the best match. This collaborative approach prevents biased decisions. The agents negotiate back and forth using live data from the MCP Server before finalizing recommendations or creating new records.

Let agents debate candidate qualifications

You can build a multi-agent system where a screening agent evaluates applications from `list_applications` and a client-facing agent checks constraints from `list_clients`. They deliberate until they reach a consensus. Once they agree on a candidate, another agent can call `create_candidate` to log them in the system. This ensures no profile is created without passing your multi-agent review process.

Automate pipeline updates using this MCP Server

Multiple agents can divide and conquer complex CRM tasks. While one agent monitors incoming opportunities via `list_recruitment_leads`, another updates the status of current vacancies. The McpToolAdapter handles all schema conversions automatically under the hood. This lets your AutoGen agents call any of the six recruitment tools without manual payload formatting.

Setup guide

Set up Jaicob 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 Jaicob 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="Jaicob_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Use the autogen-ext package and pass the server URL to StreamableHttpServerParams. The McpToolAdapter automatically registers the tools for your AssistantAgent.

Yes, you can register the tools to a shared agent group, allowing different conversational agents to query `list_candidates` or `list_vacancies` during their debate.

The extension library includes adapters that convert the server schemas into the format required by AutoGen, making tools like `list_recruitment_leads` instantly executable.

Yes, the adapter supports both stdio and Streamable HTTP transports, allowing you to test candidate workflows locally before deploying.

Vinkius executes all tool calls inside isolated, secure V8 sandboxes. Your recruitment leads and job vacancies are processed entirely in memory and are never written to disk or used for training.

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