How to Use the SuiteDash MCP in AutoGen

Drive consensus decisions across SuiteDash modules using AutoGen agents.

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Connect SuiteDash MCP to AutoGen

Create your Vinkius account to connect SuiteDash 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 SuiteDash with AutoGen

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Perplexity

Resolve Scope Conflicts Between Deals and Projects

Set up a debate between two agents. Agent A calls `list_deals` to establish the initial scope. Agent B then checks that against current work by calling `get_project_details`. The agents argue until they reach a consensus on the necessary scope change request. This system doesn't just report data; it forces cross-functional agreement on what the actual work needs to be.

Verify Contact Legitimacy Against Company Records

Use two agents: a 'Verifier' and an 'Archivist.' The Verifier pulls contact information via `list_contacts`. The Archivist then challenges that data by calling `get_company_details` to confirm the company structure, forcing a debate on accuracy. This consensus mechanism means you only accept contacts validated against official corporate records.

Reconcile Billing Against Completed Tasks

You can simulate an audit. One agent lists all invoices using `list_invoices`. A second agent uses `list_tasks` and `get_project_details` to compile a list of completed work items. The agents debate if the billed amount matches the recorded effort. If there's a discrepancy, they flag it until both parties agree on the final reconciliation.

Setup guide

Set up SuiteDash 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 SuiteDash 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="SuiteDash_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent SuiteDash data")
    print(result.messages[-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by SuiteDash. 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 SuiteDash MCP in AutoGen

It simulates a debate between multiple specialized agents. For example, one agent might find an opportunity using `list_deals`, while another challenges the feasibility by checking project status via `get_project_details`.

Yes. You can set up a discussion where one agent lists contacts (`list_contacts`), and another agent challenges the data integrity by calling `get_company_details` to validate the company affiliation.

The system touches Deals, Projects, Tasks, Invoices, and Contacts. You can make agents cross-reference any two or three of these modules to achieve a consensus conclusion.

Absolutely. Agents can compare the initial potential deal captured by `list_deals` against the current, granular status found via `get_project_details`, forcing a documented reconciliation process.

The server handles sensitive business records including Contacts, Company details, Deals, Project metadata, and Invoices. Agents ensure cross-checking across these fields.

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