How to Use the Claid AI MCP in AutoGen

Let your AutoGen agents debate and execute image edits with this Claid AI MCP server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Claid AI MCP to AutoGen

Create your Vinkius account to connect Claid AI 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 Claid AI with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Consensus-based editing with AutoGen

Configure multiple agents to evaluate an image before calling `enhance_image`. One agent can check for quality while another verifies the background removal requirements. This is how you build systems where agents negotiate the best edit settings. It prevents low-quality outputs by forcing a debate before the tool is even called.

Debate image operations in AutoGen

Use `list_available_ai_operations` to give your agents a full list of capabilities. They can then discuss which specific tool best fits the user's request. It removes guesswork from your automation. Agents determine the correct operation path through dialogue, ensuring every edit aligns with your predefined performance standards.

Secure multi-agent workflows with Claid AI

Assign a security agent to check your quota using `get_claid_account_info` before the main processing agent starts. They can negotiate based on available credits. It makes your system resilient to failures. By having agents check the account status before acting, you avoid mid-process errors in your multi-agent conversation.

Setup guide

Set up Claid AI 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 Claid AI 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="Claid AI_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

The agents share the output in the conversation history. Because the tool execution returns structured data, every agent in the group can read and react to the result.

Yes, the server handles multiple calls. If your agents are debating, they can independently request status checks or information without blocking each other.

You use the standard tool adapter for this server. It automatically converts the API schema into something your AssistantAgent understands.

All requests are authenticated via a single endpoint token. Your agents operate within a sandbox where only authorized tools are accessible for image manipulation.

They can. If a task fails or produces an unexpected result, your agents can discuss the error and decide to retry the operation or try a different approach.

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

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript