How to Use the Alphamoon MCP in AutoGen

Enable multi-agent debate in AutoGen using the Alphamoon MCP Server to reach consensus on complex document processing tasks.

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Connect Alphamoon MCP to AutoGen

Create your Vinkius account to connect Alphamoon 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 Alphamoon with AutoGen

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Perplexity

Debate document data in AutoGen

Create agents that argue over document findings. One agent calls `get_extraction_results`, and another reviews the output for accuracy before signing off. This prevents errors by requiring consensus. The agents challenge each other until they agree on the extracted data points.

Automate document tasks via AutoGen

Assign document management to specialized agents. One agent handles `upload_document` while another monitors `get_process` to confirm completion. They coordinate the workload automatically. You define the goal, and the agents negotiate the steps required to process your files.

Integrate Alphamoon with AutoGen agents

Use the tool adapter to expose functions to your agent group. The system automatically handles the schema for `list_templates` and other operations. Agents call these tools as part of their conversation. They treat the document server as a shared resource for their deliberation.

Setup guide

Set up Alphamoon 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 Alphamoon 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="Alphamoon_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

They call the tools during their conversation. If an agent needs document data, it requests the information from the server.

Yes, agents can use the tools to verify data and challenge each other. This leads to more reliable outcomes on document tasks.

You provide the server URL to the adapter. It maps the tools to your assistant agents automatically.

The agents share the tool interface. Each agent in your group can access the server to perform its assigned duties.

Access is restricted to the agents you configure. Every interaction with your documents is logged within the agent conversation history.

Use it with your favorite AI tools

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

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