How to Use the Froged MCP in AutoGen

Enable debate between your AutoGen agents using Froged tools to reach better support resolutions.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Froged MCP to AutoGen

Create your Vinkius account to connect Froged 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 Froged with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Negotiate support strategies with agents

Assign one agent to monitor `list_support_conversations` while another handles `send_chat_message`. They can debate the best way to resolve a ticket based on the history. This prevents rushed, incorrect replies. The agents challenge each other's proposed solutions before they ever hit the customer's screen.

Track events with multi-agent consensus

Use `track_custom_event` within a group chat to ensure data consistency. Agents can verify if a specific event should be logged before executing the write. It reduces data noise by requiring agreement. Only validated events get committed to your user profiles.

Manage contacts through agent negotiation

Let your research agent call `get_contact_details` and pass the data to a decision-making agent. If the contact profile is incomplete, they can trigger `upsert_contact` to fix it. They work together to keep your CRM clean. You get a self-maintaining database that improves as your agents interact.

Setup guide

Set up Froged 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 Froged 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="Froged_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Pass the tool list to your AssistantAgent constructors. AutoGen handles the schema conversion, allowing your agents to debate which tool to invoke.

Yes. Each agent in your group chat can be given access to the same tool set. They then negotiate who is best suited to perform each task.

Vinkius manages the secure transport layer. Your data is isolated in an ephemeral sandbox, and only authorized agents can trigger actions against your account.

It does. You can connect via stdio for local development or use the streamable HTTP transport for distributed agent deployments.

You can configure a supervisor agent to arbitrate the debate. It reviews the tool outputs and makes the final call on which action to execute.

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