How to Use the Advice Slip MCP in AutoGen

Let your AutoGen agents debate and decide using wisdom retrieved from Advice Slip.

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Connect Advice Slip MCP to AutoGen

Create your Vinkius account to connect Advice Slip 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 Advice Slip with AutoGen

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Debating Advice Slip in AutoGen

Assign `get_random_advice` to an agent that needs a second opinion. When the agents debate, one can offer advice as a counterpoint to another's logic. You'll see the agents challenge each other's conclusions using the raw string output. It prevents the group from locking into a single, potentially flawed perspective.

Search-driven AutoGen agents

Configure an agent to call `search_advice` when it hits a conflict. It fetches relevant data to support its argument during the multi-agent discussion. This forces the team to base their decisions on external input. The debate becomes evidence-based rather than just a loop of assumptions.

Specific advice for AutoGen tasks

Trigger `get_advice_by_id` when an agent specifically requests a known reference. This is perfect for when you need the system to cite a specific source during deliberation. It brings a level of precision to the conversation. Agents can verify their arguments against the specific records you've provided.

Setup guide

Set up Advice Slip 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 Advice Slip 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="Advice Slip_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

You pass the tools list to the AssistantAgent. All agents in the group conversation gain access to these functions.

The agents are designed to converge. As long as you define the termination conditions, they will use the advice to reach a decision.

You can assign specific tools to specific agents. This lets you create a 'researcher' agent that handles all Advice Slip calls.

The server uses a hardened endpoint. Your agents interact with it via a secure transport layer.

The conversation log stays within your local environment. The advice text is only visible to the agents you authorize.

Use it with your favorite AI tools

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

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