How to Use the Critical Thinking Prover MCP in AutoGen

Q: How do I configure an AssistantAgent in AutoGen to use these tools?

You use the mcpservertools function from the autogen-extmcp package to get the tool definitions. Then you just pass that list of tools into the AssistantAgent constructor when you create it.

Give your AutoGen agents a referee. Structure their debates with concrete rules for logic and proof, and get to consensus faster.

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Connect Critical Thinking Prover MCP to AutoGen

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Setup Critical Thinking Prover with AutoGen

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Referee Your Agent Debates

Insert `validate_critical_thinking` into your multi-agent conversations. When one agent makes a proposal, another agent can act as a critic, running the proposal through this tool. It's no longer about opinion; it's about whether the argument holds up to scrutiny. This tool provides a shared, objective standard for what 'good reasoning' means. It stops agents from talking past each other or getting stuck in circular debates. If an argument fails the validation, it's sent back with specific flaws to address—forcing a more productive conversation.

Create Clear Agent Handoffs

Use `validate_task_completion` to structure the workflow between specialized agents. A `Coder` agent does its work, then calls the tool to generate a clear, structured report of what it did and how it was tested. That report then goes to a `Tester` or `Reviewer` agent. The handoff isn't a vague 'I'm done'; it's a verifiable artifact. This creates a clear and auditable assembly line, where each agent's contribution is explicitly checked before the next one begins.

From Conversation to Validated Action

This MCP Server gives your AutoGen system a mechanism for converting debate into verified outcomes. The agents don't just chat; they use these tools to challenge, prove, and confirm their way to a final answer. You're building an agent society with rules. It's a system where consensus is built on evidence, not just agreement. This MCP Server is the key to moving AutoGen from interesting conversations to reliable, multi-agent problem-solving systems.

Setup guide

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

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

    result = await agent.run("List recent Critical Thinking Prover data")
    print(result.messages[-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Critical Thinking 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 Critical Thinking Prover MCP in AutoGen

It gives them a neutral tool to check each other's logic. An agent can use `validate_critical_thinking` on another's proposal. If it fails, the debate is no longer subjective; there's a concrete reason to reject the idea, which forces progress.

Yes, that's a primary use case. You can set up a 'Critic' agent whose job is to run the proposals of other agents through the `validate_critical_thinking` tool, enforcing a high standard of reasoning for the entire group.

Perfectly. The tools from this MCP Server can be registered with an `AssistantAgent`, allowing it to call them within a group chat conversation just like any other function. It integrates directly into the agent dialogue flow.

You use the `mcp_server_tools` function from the `autogen-ext[mcp]` package to get the tool definitions. Then you just pass that list of tools into the `AssistantAgent` constructor when you create it.

The server receives the specific text an agent submits for validation, like a proposed plan or a task completion summary. Vinkius security ensures this data is processed in a secure, sandboxed V8 Isolate and is never stored or logged.

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