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Heap MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Heap 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="Heap Assistant",
            instructions=(
                "You help users interact with Heap. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
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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 Heap MCP Server

Connect your Heap.io analytics account to any AI agent and take full control of your product data and user identity management through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from Heap through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Heap, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Event Tracking — Send custom server-side events to Heap to capture granular user interactions.
  • User Identification — Associate anonymous sessions with specific identities and set custom profile properties.
  • Segment Management — List all segments defined in your project to understand your user cohorts.
  • Event Definitions — Access your custom event definitions to stay aligned with your analytics schema.
  • Bulk Operations — Track multiple events or update several user profiles in a single high-throughput request.
  • GDPR Compliance — Permanently delete user data directly from the chat interface when requested.
  • Query Profiles — Filter and retrieve user profiles based on specific behavior or attributes.

The Heap MCP Server exposes 12 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 Heap to OpenAI Agents SDK via MCP

Follow these steps to integrate the Heap 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 12 tools from Heap

Why Use OpenAI Agents SDK with the Heap MCP Server

OpenAI Agents SDK provides unique advantages when paired with Heap 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

Heap + OpenAI Agents SDK Use Cases

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

01

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

02

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

03

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

04

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

Heap MCP Tools for OpenAI Agents SDK (12)

These 12 tools become available when you connect Heap to OpenAI Agents SDK via MCP:

01

add_account_properties

Add or update properties for an account (group of users)

02

add_user_properties

Add or update custom properties for a user profile

03

bulk_add_user_properties

Update properties for multiple users in a single request

04

bulk_track_events

Track multiple events concurrently for high-throughput

05

delete_user_data

Permanently delete a user and all their associated data (GDPR)

06

get_api_usage

Check current API usage and project status

07

get_event_definitions

List all custom event definitions in Heap

08

get_my_profile

Get information about the authenticated API key

09

get_segments

List all segments defined in your Heap project

10

identify_user

Associate an anonymous session with a specific user identity

11

query_user_profiles

Query and filter user profiles based on criteria

12

track_event

Properties should be a JSON string. Track a server-side event for a user in Heap

Example Prompts for Heap in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Heap immediately.

01

"Track event 'Checkout Started' for user 'user_992' with properties {'value': 49.99}."

02

"List all active segments in the project."

03

"Identify user 'anon_552' as 'john.doe@example.com'."

Troubleshooting Heap MCP Server with OpenAI Agents SDK

Common issues when connecting Heap 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.

Heap + OpenAI Agents SDK FAQ

Common questions about integrating Heap 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 Heap to OpenAI Agents SDK

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.