How to Use the Sapling (Kallidus) MCP in AutoGen

Enable multi-agent debate in AutoGen using Sapling (Kallidus) tools for consensus-driven HR decisions.

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MCP Servers — Included with Plan

Connect Sapling (Kallidus) MCP to AutoGen

Create your Vinkius account to connect Sapling (Kallidus) to AutoGen — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Sapling (Kallidus) with AutoGen

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Debate HR status with AutoGen

Let your agents negotiate based on real data. One agent can request `get_employee` details while another validates them against `list_departments` to ensure the request is valid. This prevents errors by forcing agents to cross-check information. They resolve discrepancies before they ever reach your screen.

Verify Sapling (Kallidus) account health

Use `get_account` as a heartbeat check for your agents. If the connection drops or settings change, the agents detect the issue and pause their discussion. This ensures your multi-agent system stays reliable. They won't make decisions based on stale or disconnected data.

Coordinate tasks with agents

Assign agents to monitor `list_onboarding_tasks`. When a task is marked complete, the agents can trigger secondary actions, like notifying the IT team or updating internal docs. Your system handles the logic automatically. The agents divide the work, ensuring every step of the Sapling (Kallidus) workflow gets the attention it needs.

Setup guide

Set up Sapling (Kallidus) 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 Sapling (Kallidus) 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="Sapling (Kallidus)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Sapling (Kallidus) 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 Sapling. 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 Sapling (Kallidus) MCP in AutoGen

Pass the server tools into your agent constructor. The adapter will map them automatically, letting your agents call the tools as part of their debate.

Yes. The server supports concurrent calls from different agents. Each agent can request what it needs to contribute to the final decision.

They operate with the credentials provided by your Vinkius endpoint. Ensure your token has the correct access levels for the tools you intend to use.

They debate based on the tool output. If one agent finds a mismatch in employee data, it prompts the other to re-check the API, leading to a verified conclusion.

Your onboarding and offboarding task details remain within the isolated Vinkius session. No data is shared outside your defined agent group.

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