How to Use the API Design Prover MCP in AutoGen

Q: How do I register API Design Prover with AutoGen?

Install autogen-extmcp and use mcpservertools with Streamable HTTP parameters to fetch the tools from the MCP Server. You then pass this tool list directly to your AssistantAgent constructor.

Run multi-agent debates in AutoGen to hammer out compliant, versioned API designs before writing a single line of code.

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Connect API Design Prover MCP to AutoGen

Create your Vinkius account to connect API Design Prover 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 API Design Prover with AutoGen

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Resolve API design debates with AutoGen agents

The API Design Prover MCP Server lets your agent run `validate_api_design` to settle arguments over response envelopes and pagination rules. This tool acts as an automated architect that instantly rejects invalid designs during multi-agent conversations. When your developer agent proposes a sloppy endpoint, your quality assurance agent runs this validation tool to flag the error. The agents then debate the fix until they produce a design that complies with REST guidelines.

Enforce RFC 7807 error contracts via MCP Server

Running `validate_api_design` forces your AutoGen agents to define structured error fields before generating backend code. The tool rejects any design that relies on generic text errors instead of structured problem details. This automated validation ensures your agents agree on a unified error contract. You get clean, predictable error handling without manually reviewing every proposed schema.

Keep versioning and deprecation policies aligned

This tool requires your agents to explicitly define a versioning strategy and a deprecation policy during their collaborative planning phase. Running `validate_api_design` guarantees that your agents don't push unversioned, breaking changes. The tool checks that every endpoint maps correctly to its HTTP verb with semantic correctness. This consensus-driven approach keeps your entire API surface clean and maintainable.

Setup guide

Set up API Design Prover 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 API Design Prover 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="API Design Prover_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent API Design Prover 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="API Design Prover_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent API Design Prover 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 API Design Prover. 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 API Design Prover MCP in AutoGen

Install `autogen-ext[mcp]` and use `mcp_server_tools` with Streamable HTTP parameters to fetch the tools from the MCP Server. You then pass this tool list directly to your `AssistantAgent` constructor.

One agent can propose an API schema, while a reviewer agent runs `validate_api_design` to verify it. If the tool rejects the design, the reviewer agent feeds the structured errors back to the proposer.

Yes, the MCP Server adapter handles both stdio and Streamable HTTP transports automatically. This gives you flexibility in how you connect your multi-agent system to the validation engine.

The validation tool will immediately fail and report a semantic error. Your agents must then negotiate a standard REST mapping to pass the check.

Your endpoint definitions, payload shapes, and versioning strategies are processed inside ephemeral, isolated V8 containers. Vinkius manages the secure token exchange, ensuring your design data is never stored or leaked.

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