How do I find my Heap App ID and API Key?

Log in to Heap, go to **Account > Projects**, and select your project. Your **App ID** will be visible there. For the **API Key**, navigate to the API section in your project settings to generate a server-side key.

Can I track events server-side through this integration?

Yes! Use the `track_event` tool. You provide the user identity, event name, and optional properties. This is perfect for capturing actions that happen outside the client browser.

How do I update user properties in bulk?

Use the `bulk_add_user_properties` tool. You must provide a JSON array containing objects with `identity` and `properties` for each user you wish to update.

Is the data deletion tool permanent?

Yes. The `delete_user_data` tool triggers a permanent deletion of the user identity and all historical data from Heap, helping you comply with GDPR and CCPA requests.

Heap MCP Server for CrewAI 12 tools — connect in under 2 minutes

Name: Heap
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Heap through Vinkius, pass the Edge URL in the `mcps` parameter and every Heap tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Heap Specialist",
    goal="Help users interact with Heap effectively",
    backstory=(
        "You are an expert at leveraging Heap tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Heap "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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 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.

When paired with CrewAI, Heap becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Heap tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Heap MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from Heap

Why Use CrewAI with the Heap MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Heap through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Heap + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Heap MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Heap for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Heap, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Heap tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Heap against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Heap MCP Tools for CrewAI (12)

These 12 tools become available when you connect Heap to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Heap to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Heap + CrewAI FAQ

Common questions about integrating Heap MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.