CleverTap MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect CleverTap through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to CleverTap "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in CleverTap?"
)
print(result.data)
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.
Pydantic AI validates every CleverTap tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the CleverTap MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 with type-safe schemas
Why Use Pydantic AI with the CleverTap MCP Server
Pydantic AI provides unique advantages when paired with CleverTap through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your CleverTap integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your CleverTap connection logic from agent behavior for testable, maintainable code
CleverTap + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the CleverTap MCP Server delivers measurable value.
Type-safe data pipelines: query CleverTap with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple CleverTap tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query CleverTap and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock CleverTap responses and write comprehensive agent tests
CleverTap MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect CleverTap to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting CleverTap to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCleverTap + Pydantic AI FAQ
Common questions about integrating CleverTap MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
