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Howuku MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Howuku through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Howuku Assistant",
            instructions=(
                "You help users interact with Howuku. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Howuku"
        )
        print(result.final_output)

asyncio.run(main())
Howuku
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* 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.

The OpenAI Agents SDK auto-discovers all 10 tools from Howuku through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Howuku, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

The Howuku MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Howuku MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 10 tools from Howuku

Why Use OpenAI Agents SDK with the Howuku MCP Server

OpenAI Agents SDK provides unique advantages when paired with Howuku through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Howuku + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Howuku MCP Server delivers measurable value.

01

Automated workflows: build agents that query Howuku, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Howuku, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Howuku tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Howuku to resolve tickets, look up records, and update statuses without human intervention

Howuku MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Howuku to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Howuku to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Howuku + OpenAI Agents SDK FAQ

Common questions about integrating Howuku MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Howuku to OpenAI Agents SDK

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