How to Use the Uniqode MCP in AutoGen

Achieve consensus decisions with AutoGen: Multi-agent debate using Uniqode's tracking tools.

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Connect Uniqode MCP to AutoGen

Create your Vinkius account to connect Uniqode 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 Uniqode with AutoGen

Ask AI about this MCP

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Claude

Perplexity

Debating Code Viability

Imagine a scenario where an 'Auditor Agent' checks the account status by calling `get_account_info`. Simultaneously, a 'Marketing Agent' tries to create a new code using `create_qrcode`. The agents debate whether the current account tier supports the requested QR type and campaign scope. The resulting consensus is a validated go/no-go decision based on resource constraints.

Optimizing Resource Updates

One agent calls `list_qrcodes` to pull a list of old, unused codes. A second 'Optimization Agent' then analyzes the data using `get_qrcode` and decides if an update is necessary, calling `update_qrcode` only when changes are required. This negotiation prevents unnecessary API calls and ensures that any change gets reviewed by both performance metrics and best practices.

Structured Deployment Planning

Before launch, multiple agents must agree on the structure. They collaborate: one agent runs `list_organizations`, another runs `list_folders`. The final decision requires verifying that all necessary components are present before calling `create_qrcode`. This multi-agent flow forces deliberation, guaranteeing you don't miss any prerequisites for your deployment.

Setup guide

Set up Uniqode 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 Uniqode 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="Uniqode_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

AutoGen simulates debate. You can set up agents where one agent calls `get_analytics_location` and another challenges that data's relevance by calling `list_campaigns`. The final answer is a negotiated conclusion, not just the output of a single tool call.

Processes like bulk code updates or new campaign launches. For instance, an agent might debate whether to `delete_qrcode` based on conflicting inputs from `list_tags` and `get_account_info`. The consensus determines the final action.

The MCP Server manages everything from structured account metadata (`get_account_info`) to dynamic scan analytics (location/time) and campaign listings. The agents negotiate based on these various data inputs.

The server handles scan analytics data, including location and time stamps. Because multiple agents review this data type, it ensures that any proposed action based on usage metrics is thoroughly vetted.

You can create a debate between an 'Archivist Agent' calling `list_qrcodes` and a 'Review Agent' calling `get_qrcode`. They negotiate the best way to document changes or potential deletions.

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