How to Use the Curator.io MCP in AutoGen

Let your AutoGen agents debate social strategy using Curator.io tools.

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Connect Curator.io MCP to AutoGen

Create your Vinkius account to connect Curator.io 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 Curator.io with AutoGen

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Perplexity

Debate social strategy with AutoGen

Assign one agent to review `list_moderation_rules` while another evaluates current performance. They negotiate based on the facts provided by the API. You build systems where agents challenge each other to find the best moderation settings. This leads to more thoughtful decisions for your brand.

Manage social connections via AutoGen

Use `list_social_connections` to keep your multi-agent system informed about active accounts. Agents can verify statuses before they attempt to post or audit content. This prevents errors by ensuring agents have the latest connection metadata. Your team of agents can coordinate tasks based on what is actually live.

Audit feed status using AutoGen

Trigger `list_active_feeds` to let your agents audit your current setup. An oversight agent can flag inactive feeds for correction by a management agent. This automated loop keeps your accounts tidy. You don't need to watch the dashboard because your agents handle the status checks.

Setup guide

Set up Curator.io 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 Curator.io 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="Curator.io_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

You pass the tool list into your AssistantAgent constructor. The MCP adapter handles the conversion so your agents can call functions directly.

Yes. Agents can pull data and argue over the best course of action based on the results they receive.

You only need to provide the endpoint token. The server handles the rest of the authentication internally.

The server supports both stdio and Streamable HTTP. This gives you flexibility in how you deploy your agent architecture.

We treat your account identifiers as sensitive secrets. The sandbox environment prevents unauthorized agents from accessing your billing or authentication boundaries.

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