Can I trigger an API campaign for a specific user?

Yes! Use the `trigger_campaign` tool with the Campaign ID and a JSON array of recipient objects (e.g., `[{"external_user_id":"123"}]`).

How do I update a user's custom attribute?

Simply ask the agent to `track_user` and provide the External ID along with the new attributes in JSON format (e.g., `{"favorite_color":"blue"}`).

Does the integration allow permanently deleting a user for GDPR compliance?

Yes. Use the `delete_user` mutation with the user's External ID. This will permanently remove their profile and data from your Braze dashboard.

Braze MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Braze
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

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

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

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({
        "braze": {
            "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 Braze, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

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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 Braze MCP Server

Connect your Braze customer engagement platform to any AI agent and orchestrate your marketing automation and user tracking workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Braze through native MCP adapters. Connect 10 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

User Orchestration — Track new user attributes and events, identify anonymous users, or permanently delete user profiles for compliance.
Campaign Management — List all your marketing campaigns, retrieve detailed metadata, and instantly trigger API-based campaign sends to specific users.
Canvas (Journey) Control — List and inspect multi-step Canvases, and trigger users to enter specific Canvas workflows.
Data Export — Programmatically export user profile data by their external IDs.

The Braze MCP Server exposes 10 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 Braze to LangChain via MCP

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

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Braze via MCP

Why Use LangChain with the Braze MCP Server

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

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

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

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

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

Braze + LangChain Use Cases

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

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

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

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

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

Braze MCP Tools for LangChain (10)

These 10 tools become available when you connect Braze to LangChain via MCP:

delete_user

Delete a user by external ID

export_user_ids

Export profile data for specific users

get_campaign_details

Get details of a specific campaign

get_canvas_details

Get details of a specific Canvas

identify_user

Identify a user (merge alias to external ID)

list_campaigns

List all campaigns

list_canvases

List all Canvases

track_user

Track user attributes or events

trigger_campaign

Trigger an API-triggered campaign

trigger_canvas

Trigger a Canvas journey

Example Prompts for Braze in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Braze immediately.

"List all active campaigns in Braze."

"Track user 'usr_992' with attribute {'loyalty_tier':'Gold'}."

"List all Canvases configured in the workspace."

Troubleshooting Braze MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Braze + LangChain FAQ

Common questions about integrating Braze MCP Server with LangChain.

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.

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.