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

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Heap through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "heap": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Heap, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Heap
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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.

LangChain's ecosystem of 500+ components combines seamlessly with Heap through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 12 tools from Heap via MCP

Why Use LangChain with the Heap MCP Server

LangChain provides unique advantages when paired with Heap through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Heap MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Heap queries for multi-turn workflows

Heap + LangChain Use Cases

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

01

RAG with live data: combine Heap tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Heap, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Heap tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Heap tool call, measure latency, and optimize your agent's performance

Heap MCP Tools for LangChain (12)

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

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

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Heap + LangChain FAQ

Common questions about integrating Heap MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Heap to LangChain

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