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CleverTap MCP Server for LangChain 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect CleverTap 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({
        "clevertap": {
            "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 CleverTap, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
CleverTap
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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 CleverTap MCP Server

Connect your CleverTap account to any AI agent and take full control of your customer engagement and retention strategies through natural conversation. Streamline how you monitor campaigns and analyze user behavior natively.

LangChain's ecosystem of 500+ components combines seamlessly with CleverTap through native MCP adapters. Connect 8 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

  • Campaign Oversight — List and retrieve details for all scheduled and running campaigns natively
  • Analytics Intelligence — Access detailed performance reports including clicks, conversions, and delivery flawlessly
  • Segment Logistics — Monitor all defined user segments to understand your audience distribution securely
  • Event Tracking — List custom event schemas and user properties to audit data ingestion flawlessly
  • Real-time Visibility — Access real-time usage statistics and active user counts flawlessly
  • User Deep-Dives — Retrieve detailed profile information for specific user identities directly within your workspace

The CleverTap MCP Server exposes 8 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 CleverTap to LangChain via MCP

Follow these steps to integrate the CleverTap 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 8 tools from CleverTap via MCP

Why Use LangChain with the CleverTap MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine CleverTap 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 CleverTap queries for multi-turn workflows

CleverTap + LangChain Use Cases

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

01

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

02

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

03

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

04

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

CleverTap MCP Tools for LangChain (8)

These 8 tools become available when you connect CleverTap to LangChain via MCP:

01

get_campaign_performance_report

Retrieve detailed performance metrics for a specific campaign

02

get_real_time_usage_stats

Retrieve real-time user counts and event statistics

03

get_user_profile_details

Get detailed information for a specific user identity

04

list_clevertap_apps

List all applications registered in the account

05

list_clevertap_campaigns

List all campaigns scheduled within a date range

06

list_clevertap_segments

List all defined user segments

07

list_event_schemas

List all custom events and their schemas

08

list_user_profile_properties

List all user profile properties and attributes

Example Prompts for CleverTap in LangChain

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

01

"List all my CleverTap campaigns from last month."

02

"What is the performance report for campaign ID 1457432732?"

03

"Show me the custom event schemas in my account."

Troubleshooting CleverTap MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

CleverTap + LangChain FAQ

Common questions about integrating CleverTap 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 CleverTap to LangChain

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.