Amplitude MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Amplitude 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 Amplitude "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Amplitude?"
)
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 Amplitude MCP Server
Connect your Amplitude account to your AI agent and seamlessly query behavioral data and product analytics using natural language.
Pydantic AI validates every Amplitude 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
- User Activity & Search — Search for specific users and track their detailed event stream to diagnose individual journeys
- Funnels & Conversions — Request step-by-step conversion funnels to identify where users drop off
- Retention — Generate day-over-day retention curves to understand how well features keep users engaged
- Segmentation — Query event counts and uniques over time to see clear adoption trends
- Cohorts — List your behavioral cohorts, view sizes, and request exports for further targeted analysis
- Active Users & Revenue — Instantly pull DAU/WAU/MAU and daily revenue metrics right into your workflow
The Amplitude 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 Amplitude to Pydantic AI via MCP
Follow these steps to integrate the Amplitude 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 Amplitude with type-safe schemas
Why Use Pydantic AI with the Amplitude MCP Server
Pydantic AI provides unique advantages when paired with Amplitude 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 Amplitude integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Amplitude connection logic from agent behavior for testable, maintainable code
Amplitude + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Amplitude MCP Server delivers measurable value.
Type-safe data pipelines: query Amplitude with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Amplitude tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Amplitude and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Amplitude responses and write comprehensive agent tests
Amplitude MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Amplitude to Pydantic AI via MCP:
active_users
Start/End as YYYYMMDD. Get Amplitude daily/weekly/monthly active users (DAU/WAU/MAU)
event_segmentation
Pass event name, start/end as YYYYMMDD. Query Amplitude event segmentation
export_events
Amplitude is a product analytics platform. Pass start/end as YYYYMMDDTHH (e.g. 2026010100). Export raw Amplitude event data for a time range
get_cohort
Depending on the backend this may require polling until ready. Request an Amplitude cohort download
get_funnel
Pass comma-separated event names, start/end as YYYYMMDD. Query Amplitude funnel conversion
get_retention
Pass start_event (acquisition), return_event, start/end dates. Start/End should be YYYYMMDD. Query Amplitude retention
get_user_activity
Useful for diagnosing individual user journeys. Get Amplitude user activity stream
list_cohorts
Cohorts group users by behavior. List Amplitude behavioral cohorts
revenue_analysis
Start/End as YYYYMMDD. Get Amplitude revenue analysis by day
search_users
Useful to find specific users before checking their activity. Search Amplitude users by user ID, device ID, or email
Example Prompts for Amplitude in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Amplitude immediately.
"What's our funnel conversion from 'Landing_Page_View' to 'Sign_Up_Success' for the last 3 days?"
"Show the recent user activity for customer email@example.com"
"What is our Daily Active Users (DAU) count since start of the month?"
Troubleshooting Amplitude MCP Server with Pydantic AI
Common issues when connecting Amplitude to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAmplitude + Pydantic AI FAQ
Common questions about integrating Amplitude 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 Amplitude 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 Amplitude to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.