How to Use the MasterGo MCP in AutoGen

Debate your design specs with AutoGen. Let agents negotiate MasterGo data and converge on the right path.

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Connect MasterGo MCP to AutoGen

Create your Vinkius account to connect MasterGo 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 MasterGo with AutoGen

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Perplexity

Negotiate design tasks with AutoGen agents

Assign one agent to audit file nodes using `list_nodes` and another to review comments via `get_comments`. They compare findings to identify discrepancies. This setup forces a deliberation between the technical audit and the human feedback. You get a consensus before the system takes action.

Manage team project access in AutoGen

Use `list_teams` and `get_org_members` to scope your agent's visibility. You can restrict the conversation to specific team projects. This keeps your agents focused on relevant files. It prevents cross-talk between unrelated design teams during the debate process.

Automate file review with AutoGen

Run a multi-agent loop that checks project files with `get_project_files`. One agent proposes a cleanup, and the other verifies it against design styles. They reach a decision based on the data provided by the server. It makes your review process consistent and repeatable.

Setup guide

Set up MasterGo 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 MasterGo 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="MasterGo_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

They use a built-in negotiation loop. One agent presents the data, the other challenges it, and they converge on the best interpretation.

Yes. You can pause the agent conversation at any step. You review the output from `list_projects` before letting the agents proceed.

You can provide all 10 tools to your agents. The system automatically maps these to the agent's available actions.

They share the chat history. Every tool output from one agent is visible to the others, building a shared understanding of the file.

The server uses a single endpoint token. Your credentials remain outside the agent's memory, and the tools only access the specific design data you authorize.

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