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

Built by Vinkius GDPR 8 Tools SDK

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.

Vinkius supports streamable HTTP and SSE.

python
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())
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* 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.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

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.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your CleverTap integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

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.

01

Type-safe data pipelines: query CleverTap with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple CleverTap tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query CleverTap and output structured, schema-compliant notifications

04

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:

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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

CleverTap + Pydantic AI FAQ

Common questions about integrating CleverTap MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your CleverTap MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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.