2,500+ MCP servers ready to use
Vinkius

Howuku MCP Server for AutoGen 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Howuku as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="howuku_agent",
            tools=tools,
            system_message=(
                "You help users with Howuku. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Howuku
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Howuku MCP Server

Empower your AI agents to analyze user behavior on your websites. This MCP server connects to Howuku (now part of VWO) to list projects, retrieve session recordings, view heatmaps, and monitor user feedback and surveys. Perfect for UX researchers and product managers.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Howuku tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

The Howuku MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Howuku to AutoGen via MCP

Follow these steps to integrate the Howuku MCP Server with AutoGen.

01

Install AutoGen

Run pip install "autogen-ext[mcp]"

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

04

Explore tools

The workbench discovers 10 tools from Howuku automatically

Why Use AutoGen with the Howuku MCP Server

AutoGen provides unique advantages when paired with Howuku through the Model Context Protocol.

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Howuku tools to solve complex tasks

02

Role-based architecture lets you assign Howuku tool access to specific agents. a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive Howuku tool calls

04

Code execution sandbox: AutoGen agents can write and run code that processes Howuku tool responses in an isolated environment

Howuku + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Howuku MCP Server delivers measurable value.

01

Collaborative analysis: one agent queries Howuku while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from Howuku, a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using Howuku data to make informed decisions about resource distribution

04

Code generation with live data: an AutoGen coder agent writes scripts that process Howuku responses in a sandboxed execution environment

Howuku MCP Tools for AutoGen (10)

These 10 tools become available when you connect Howuku to AutoGen via MCP:

01

get_me

Gets current authenticated user info

02

get_project

Retrieves details for a specific project

03

list_events

Lists custom tracking events for a project

04

list_feedback

Lists visual feedback items for a project

05

list_funnels

Lists conversion funnels for a project

06

list_heatmaps

Lists heatmaps for a project

07

list_organizations

Lists organizations associated with your account

08

list_projects

Lists Howuku projects (sites)

09

list_recordings

Lists session recordings for a project

10

list_surveys

Lists surveys for a project

Example Prompts for Howuku in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Howuku immediately.

01

"List all my Howuku projects."

02

"Show me recent session recordings for project ID 123."

03

"Check for any new user feedback on my site."

Troubleshooting Howuku MCP Server with AutoGen

Common issues when connecting Howuku to AutoGen through the Vinkius, and how to resolve them.

01

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Howuku + AutoGen FAQ

Common questions about integrating Howuku MCP Server with AutoGen.

01

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Howuku tools during their conversation turns.
02

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

Connect Howuku to AutoGen

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.