How to Use the Worksuite MCP in AutoGen

Run consensus-driven decision making with AutoGen on Worksuite.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Worksuite MCP to AutoGen

Create your Vinkius account to connect Worksuite 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.

GDPR Free for Subscribers

Setup Worksuite with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debating Project Scope

You build systems where the answer isn't obvious. One agent can call `get_project` for the current scope, while another challenges that data by calling `list_jobs` to see related openings. They debate which project is best suited. The final decision emerges from the discussion between competing perspectives within your multi-agent system.

Contractor Vetting Negotiation

A security agent can verify a contractor by calling `list_invoices` and checking payment records. A performance agent simultaneously calls `get_talent` to check skills, and they negotiate whether the candidate passes risk checks. This is consensus-driven decision making—multiple viewpoints converging on one final conclusion.

Job Opening Strategy

Need a job opening strategy? One agent pulls data using `list_jobs`. A second agent then calls `get_project` to see if existing projects can be repurposed. They argue over the best resource allocation. The MCP Server supports this complex negotiation, letting you model real-world decision processes.

Setup guide

Set up Worksuite 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 Worksuite 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="Worksuite_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Connect Worksuite now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Worksuite MCP in AutoGen

You pass the MCP tools list to your AssistantAgent. The agents then discuss and debate how to best sequence those tool calls to reach a consensus decision.

It allows multiple agents to interact with the MCP Server simultaneously. They challenge each other's conclusions when analyzing data from `list_tasks` or `get_job`.

Yes, multiple agents can discuss payment strategies. You can include `list_payments` and `list_invoices` data to let them negotiate optimal billing structures.

The server handles invoices and payments. This includes the raw records from `list_invoices` and `list_payments`, which agents can debate implications over.

The framework handles schema conversion automatically. This means your multiple agents get consistent, usable data types when interacting with Worksuite's tools.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript