CleverTap MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add CleverTap as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to CleverTap. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in CleverTap?"
)
print(response)
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.
LlamaIndex agents combine CleverTap tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the CleverTap MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from CleverTap
Why Use LlamaIndex with the CleverTap MCP Server
LlamaIndex provides unique advantages when paired with CleverTap through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine CleverTap tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain CleverTap tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query CleverTap, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what CleverTap tools were called, what data was returned, and how it influenced the final answer
CleverTap + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the CleverTap MCP Server delivers measurable value.
Hybrid search: combine CleverTap real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query CleverTap to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying CleverTap for fresh data
Analytical workflows: chain CleverTap queries with LlamaIndex's data connectors to build multi-source analytical reports
CleverTap MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect CleverTap to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting CleverTap to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCleverTap + LlamaIndex FAQ
Common questions about integrating CleverTap MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.