How to Use the Certifier MCP in AutoGen

Debate and issue digital credentials using AutoGen multi-agent workflows.

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Connect Certifier MCP to AutoGen

Create your Vinkius account to connect Certifier 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 Certifier with AutoGen

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Perplexity

Negotiate credential issuance with AutoGen

One agent proposes `create_credential` while another reviews the recipient data for accuracy. They iterate until the data is clean and ready for issuance. This consensus-driven approach prevents errors before you call `issue_credential`. You define the rules, and the agents handle the verification process.

Use Certifier tools in AutoGen conversations

Agents discuss which `list_credential_templates` to use based on the event type. They compare options and agree on the best template before proceeding. This setup works well when you have complex requirements for different badge designs. The agents handle the back-and-forth communication required to choose the right assets.

Automate credential updates within AutoGen

If a draft has an error, an agent identifies it and calls `update_credential` to fix the details. It then asks a peer agent to confirm the change. You create a self-correcting loop that manages your draft credentials. The agents ensure every badge is correct before you send it to the recipient.

Setup guide

Set up Certifier 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 Certifier 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="Certifier_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Configure the server parameters and pass the tool list to your AssistantAgent. The adapter handles the schema conversion for you.

Yes, multiple agents can share access to the server tools. This allows them to debate and execute tasks as a team.

The server supports both stdio and Streamable HTTP. You pick the transport that fits your local or remote agent deployment.

They call the tools during their conversation to fetch data or perform actions. The output is provided back to the agents for their next turn.

The server only processes the specific email strings needed for issuance. We keep this data within the ephemeral sandbox to ensure that no agent leaks recipient information outside your project.

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