CleverTap MCP Server for LangChain 8 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
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 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.
The largest ecosystem of integrations, chains, and agents. combine CleverTap 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 CleverTap queries for multi-turn workflows
CleverTap + LangChain Use Cases
Practical scenarios where LangChain combined with the CleverTap MCP Server delivers measurable value.
RAG with live data: combine CleverTap tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query CleverTap, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain CleverTap tools with web scrapers, databases, and calculators in a single agent run
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:
get_campaign_performance_report
Retrieve detailed performance metrics for a specific campaign
get_real_time_usage_stats
Retrieve real-time user counts and event statistics
get_user_profile_details
Get detailed information for a specific user identity
list_clevertap_apps
List all applications registered in the account
list_clevertap_campaigns
List all campaigns scheduled within a date range
list_clevertap_segments
List all defined user segments
list_event_schemas
List all custom events and their schemas
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.
"List all my CleverTap campaigns from last month."
"What is the performance report for campaign ID 1457432732?"
"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.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCleverTap + LangChain FAQ
Common questions about integrating CleverTap MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect CleverTap 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 CleverTap to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
