Heap MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
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.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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.
Automated workflows: build agents that query Heap, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Heap, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Heap tools and transform it with OpenAI models in a single async loop
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:
add_account_properties
Add or update properties for an account (group of users)
add_user_properties
Add or update custom properties for a user profile
bulk_add_user_properties
Update properties for multiple users in a single request
bulk_track_events
Track multiple events concurrently for high-throughput
delete_user_data
Permanently delete a user and all their associated data (GDPR)
get_api_usage
Check current API usage and project status
get_event_definitions
List all custom event definitions in Heap
get_my_profile
Get information about the authenticated API key
get_segments
List all segments defined in your Heap project
identify_user
Associate an anonymous session with a specific user identity
query_user_profiles
Query and filter user profiles based on criteria
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.
"Track event 'Checkout Started' for user 'user_992' with properties {'value': 49.99}."
"List all active segments in the project."
"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.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Heap + OpenAI Agents SDK FAQ
Common questions about integrating Heap MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Heap with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
