How to Use the Apidog MCP in AutoGen

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Connect Apidog MCP to AutoGen

Create your Vinkius account to connect Apidog 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 Apidog with AutoGen

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Perplexity

Debate API design with AutoGen

Assign one agent to audit your endpoints using `get_endpoint` while another challenges the design. They discuss the implementation details based on the real specs. This consensus-driven approach catches errors early. The agents negotiate based on the actual JSON output provided by the server.

Automate Apidog workflows in AutoGen

One agent fetches the full OpenAPI spec via `export_openapi` to generate test cases. Another validates those tests against the project schema. They work as a team to ensure your documentation remains accurate. The McpToolAdapter handles all the heavy lifting of schema conversion for you.

Deploy multi-agent Apidog systems

Use the Streamable HTTP transport to connect your agents to the server. You can run these agents in local environments or remote containers. The system scales as you add more agents to the conversation. Each participant gets access to the tools needed to query your organization's projects.

Setup guide

Set up Apidog 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 Apidog 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="Apidog_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Install the MCP extension and initialize the server tools. You then pass this list directly to your AssistantAgent constructor to begin the debate.

Yes, multiple agents in a group chat can invoke these tools to fetch project data. They converge on a solution by sharing the information they retrieve.

The adapter converts the tool schemas automatically, so your agents see clear function definitions. They know exactly what parameters to send to the server.

The connection is encrypted and requires a specific token. Only your authorized agents can request data from your Apidog workspace.

The agents debate the conflict until they reach a consensus. They use the tool outputs to justify their positions during the negotiation process.

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