How do I find my TalkingData App ID and API Key?

Log in to the [TalkingData portal](https://www.talkingdata.com/), select your application from the management console, and you will find your AppID and API Key (Access Token) in the application settings or 'App Info' section.

Can I query data for a specific date range?

Yes. Tools like `get_active_users` and `get_new_users` accept optional `start_date` and `end_date` parameters (in YYYY-MM-DD format) to retrieve statistics for specific periods.

Is it possible to list all custom events?

Yes! Use the `list_events` tool to retrieve a complete list of all custom behavioral events currently being tracked in your application, along with their unique identifiers.

TalkingData MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: TalkingData
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect TalkingData through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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 TalkingData "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in TalkingData?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 TalkingData MCP Server

Empower your AI agent to orchestrate your product intelligence and user behavioral data with TalkingData, the premier big data platform in China. By connecting TalkingData to your agent, you transform complex event tracking auditing, user growth analysis, and multi-channel attribution into a natural conversation. Your agent can instantly retrieve high-level application summaries, monitor active user trends, audit custom event data, and even provide detailed hardware device statistics without you ever needing to navigate the comprehensive TalkingData portal. Whether you are conducting a product health audit or monitoring real-time campaign performance across different channels, your agent acts as a real-time data analyst assistant, keeping your metrics accurate and your growth moving.

Pydantic AI validates every TalkingData tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

Metrics Orchestration — Retrieve real-time active user, new registration, and retention statistics for your application.
Event Auditing — Browse tracked custom events and retrieve detailed analytical data for specific behavioral triggers.
Channel Monitoring — Analyze user acquisition and performance across different marketing and distribution channels.
Hardware Insights — Access detailed breakdowns of user devices, including model, OS, and hardware specifications.
Session Analysis — Retrieve average session duration and usage frequency to monitor product engagement levels.

The TalkingData MCP Server exposes 10 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 TalkingData to Pydantic AI via MCP

Follow these steps to integrate the TalkingData 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 10 tools from TalkingData with type-safe schemas

Why Use Pydantic AI with the TalkingData MCP Server

Pydantic AI provides unique advantages when paired with TalkingData 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 TalkingData integration code

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

Dependency injection system cleanly separates your TalkingData connection logic from agent behavior for testable, maintainable code

TalkingData + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the TalkingData MCP Server delivers measurable value.

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

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

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

Testing and QA: use Pydantic AI's dependency injection to mock TalkingData responses and write comprehensive agent tests

TalkingData MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect TalkingData to Pydantic AI via MCP:

get_active_users

Get active user statistics

get_app_info

Get application configuration info

get_app_summary

Get application performance summary

get_channel_data

Get acquisition channel data

get_device_stats

Get device hardware statistics

get_event_data

Get custom event analytics

get_new_users

Get new user registrations

get_session_stats

Get session usage statistics

get_user_retention

Get user retention data

list_events

List tracked events

Example Prompts for TalkingData in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with TalkingData immediately.

"Show me the application performance summary."

"What is the active user count for today?"

"List all tracked events in the app."

Troubleshooting TalkingData MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

TalkingData + Pydantic AI FAQ

Common questions about integrating TalkingData MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

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