How to Use the Beeceptor MCP in AutoGen

Q: How do AutoGen agents connect to the Beeceptor endpoint?

Use the autogen-extmcp extension. Initialize mcpservertools with your Vinkius URL and pass the resulting list directly to your AssistantAgent constructor.

Q: How do we prevent agents from deleting all mock rules during a debate?

You control the tool list at initialization. Simply omit deleteallrules from the array provided to the agent if you want to prevent destructive actions.

Q: Are our mTLS certificates exposed to the broader network?

Keys managed via addcertificate remain strictly isolated. The V8 sandbox ensures that cryptographic material cannot leak across different tenant boundaries or persist after termination.

Let AutoGen agents debate and configure API mocks dynamically via this MCP Server to simulate complex failures.

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Setup Beeceptor with AutoGen

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Perplexity

Adversarial testing with AutoGen

Dynamic API mocks give your agent team a safe sandbox to simulate network failures. A chaos agent proposes breaking the payment gateway while a QA agent argues for testing latency first. They negotiate the parameters before touching the Beeceptor MCP Server. Once consensus is reached, the execution agent calls `create_rule` to implement the agreed-upon fault. The team then monitors the fallout using `list_requests` to see how the application handles the chaos.

Multi-agent state negotiation

Backend state management often sparks debate between agents representing different microservices. The database agent might want fifty user records, but the frontend agent only needs three. They discuss the optimal payload size. After agreeing on the fixture data, they execute `upsert_state` to populate the mock backend. Should something go wrong during the run, a cleanup agent steps in with `delete_state_item` to fix the corrupted records.

Debating security configurations

Test environment mTLS certificates expire constantly and break automated pipelines. A security-focused persona reviews the current setup using `list_certificates` and flags expired keys. Another agent responsible for uptime challenges the deletion of a working cert. They review the logs together before finally authorizing `delete_certificate` and installing a new one.

Setup guide

Set up Beeceptor 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 Beeceptor 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="Beeceptor_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Use the `autogen-ext[mcp]` extension. Initialize `mcp_server_tools` with your Vinkius URL and pass the resulting list directly to your `AssistantAgent` constructor.

Yes, the tool adapter handles schema conversions for the entire group chat. Any agent with the appropriate permissions can propose or execute MCP tool changes.

The HTTP transport returns exact status codes back to the conversation. If a payload is malformed, the executing agent reads the error and asks the group to fix the JSON.

You control the tool list at initialization. Simply omit `delete_all_rules` from the array provided to the agent if you want to prevent destructive actions.

Keys managed via `add_certificate` remain strictly isolated. The V8 sandbox ensures that cryptographic material cannot leak across different tenant boundaries or persist after termination.

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