How to Use the Geekflare MCP in AutoGen

Q: How do AutoGen agents share Geekflare tool outputs?

Agents pass the results of tools like getdnsrecords to each other via text messages in their conversation history. This allows a security agent to analyze DNS records and hand them off to a network agent for further review.

Let AutoGen agents debate site performance and security by giving them direct access to Geekflare diagnostic tools.

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Connect Geekflare MCP to AutoGen

Create your Vinkius account to connect Geekflare 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 Geekflare with AutoGen

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Multi-agent performance debates via this MCP Server

You can set up an AutoGen conversation where a performance agent and a developer agent debate site speed using `run_lighthouse_audit` and `measure_load_time` data. The agents negotiate fixes based on hard numbers, ensuring your site stays fast before any code gets pushed to production. This multi-perspective setup prevents developers from ignoring slow loads. No manual QA bottlenecks remain when your agents can run their own diagnostic checks.

Automated security debates in AutoGen

Let your security agent run `scan_ssl_tls_cert` and `get_whois_data` to audit your domains, then debate with your operations agent on when to schedule the renewal. Since this MCP integration handles schema conversion automatically, your agents can easily exchange these diagnostic payloads to reach a consensus. This eliminates manual checking of domain registries and certificate chains. Your agents run these checks automatically on every deployment schedule.

Visual layout negotiations with AutoGen

Your AutoGen QA agents can use `check_broken_links` to identify broken links on a page and trigger `take_website_screenshot` to confirm if the page is completely broken or just missing a minor asset. The agents then debate the severity of the issue, deciding whether to block a deployment or simply log a ticket. This setup helps you catch broken dynamic pages that standard test runners miss. No more guessing if a 404 actually broke your landing page layout.

Setup guide

Set up Geekflare 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 Geekflare 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="Geekflare_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Agents pass the results of tools like `get_dns_records` to each other via text messages in their conversation history. This allows a security agent to analyze DNS records and hand them off to a network agent for further review.

Yes, you can assign tools to specific agents in your team. For example, you can give your performance agent access to `measure_load_time` while restricting your security agent to `scan_ssl_tls_cert`.

The adapter in the AutoGen extension handles all schema conversions automatically. Your agents can call `run_lighthouse_audit` without you having to manually map JSON inputs or outputs.

This MCP Server gives your agents immediate access to 7 production-ready diagnostic tools without writing custom API wrappers. You don't need to maintain code for taking screenshots or parsing WHOIS data.

Every SSL certificate payload, lighthouse audit report, and page response time check runs in a zero-trust, isolated environment. Vinkius destroys the execution container instantly after your agents finish their debate, leaving no trace of your infrastructure data.

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