How to Use the CTO Architect Prover MCP in AutoGen

Force your AutoGen agents to debate and validate infrastructure designs using this cynical, production-grade MCP Server.

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Connect CTO Architect Prover MCP to AutoGen

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Setup CTO Architect Prover with AutoGen

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MCP Server debates for multi-agent systems

The `validate_cto_architect` tool acts as the ultimate referee in your AutoGen multi-agent conversations. When a developer agent proposes a new system design, your security and performance agents can use this tool to systematically tear it apart. This debate forces the agents to defend their choices regarding stack fitness and failure tolerance. Instead of a single agent rubber-stamping a weak design, the group must reach a consensus that actually satisfies the five CTO-level axes.

Automated security and compliance audits

Using the `validate_cto_architect` tool allows your dedicated security agent to run deep checks on proposed auth and encryption schemes. The tool rejects vague promises of hardened security and demands specific rate limits, token rotation schedules, and CORS whitelists. Your AutoGen agents can iterate on the security posture in real-time, negotiating thresholds until the validation tool returns a passing score. This ensures no system design leaves the conversation with critical security theater flaws.

Failure-driven system design

By shifting your agents' focus, the `validate_cto_architect` tool forces them to look at how things behave when they break rather than how they work when healthy. When you require explicit redundancy paths and circuit breakers, the conversation is forced to address 3 AM paging scenarios. Your agents must define concrete recovery procedures and RTO/RPO targets rather than relying on basic health checks. The resulting system designs are hardened against real-world network partitions and database crashes.

Setup guide

Set up CTO Architect 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 CTO Architect 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="CTO Architect Prover_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent CTO Architect 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 CTO Architect 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 CTO Architect Prover MCP in AutoGen

It serves as an objective validator that any agent can call. A cynical CTO Agent can pass proposals to the tool, using the detailed failure reports to challenge other agents on their over-engineered infrastructure choices.

Yes, you can register the tool exclusively with an AssistantAgent acting as an infrastructure auditor. This agent will then monitor the conversation and intervene whenever someone proposes a risky database migration pattern.

The McpToolAdapter automatically translates the tool schema to match AutoGen expectations. Your agents can call the validation functions without you having to write custom wrapper code or manual JSON parsers.

The conversation will highlight the unresolved architectural gap, such as a missing database rollback plan. You can set a maximum round limit or have a human moderator step in to resolve the specific technical constraint flagged by the tool.

All infrastructure topologies sent to this MCP Server are processed inside ephemeral, isolated runtimes. Vinkius secures the MCP Server endpoint with single-token authentication, ensuring your proprietary network layouts and system maps are never exposed.

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