How to Use the Anvyl MCP in AutoGen

Q: How do I add Anvyl MCP Server tools to my AutoGen agents?

Use mcpservertools with the server URL to load the tools. Pass the resulting tool list to your AutoGen AssistantAgent to let it manage purchase orders.

Build AutoGen multi-agent debates to resolve Anvyl purchase order and milestone delays.

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Connect Anvyl MCP to AutoGen

Create your Vinkius account to connect Anvyl 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 Anvyl with AutoGen

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Resolve milestone delays through AutoGen agent debate

The `delay_milestone` tool is used by AutoGen agents when negotiating timeline changes over this MCP Server. One agent tracks logistics while another reviews supplier capacity to agree on a new date. Instead of a single agent making blind updates, AutoGen coordinates a debate between specialized agents. They use `list_milestones` to analyze the impact of a delay before executing the change.

Coordinate suppliers and parts in AutoGen conversations

The `list_parts` tool allows your AutoGen inventory agent to check part specifications during a multi-agent discussion. A sourcing agent then calls `list_suppliers` to find a match. This MCP Server enables back-and-forth negotiations between agents representing different departments. They collaborate to find the best supplier for a part without human intervention.

Verify purchase orders with multi-agent consensus

The `get_purchase_order` tool retrieves order details for verification by your AutoGen quality and logistics agents. The agents compare the order details against tracking data from `list_logistics`. The system only updates the order status once both agents agree that the milestones are met. The final confirmation is written back using `confirm_milestone` after consensus is reached.

Setup guide

Set up Anvyl 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 Anvyl 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="Anvyl_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Use mcp_server_tools with the server URL to load the tools. Pass the resulting tool list to your AutoGen AssistantAgent to let it manage purchase orders.

Yes, you can set up a logistics agent and a budget agent that debate whether to call delay_milestone based on shipping data.

Yes, the McpToolAdapter automatically translates the Anvyl tool schemas into the format required by AutoGen agents.

It supports both stdio and Streamable HTTP transports, allowing you to connect to your hosted Vinkius endpoint.

All tool execution happens inside secure, zero-trust Vinkius sandboxes. Your part specifications and logistics records are processed in-flight and never stored on disk.

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