Umami Cloud MCP Server for Pydantic AI 4 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Umami Cloud 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 Umami Cloud "
"(4 tools)."
),
)
result = await agent.run(
"What tools are available in Umami Cloud?"
)
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 Umami Cloud MCP Server
The Umami Cloud MCP Server connects AI agents to the Umami Analytics API. It allows agents to retrieve real-time and historical website statistics, fetch pageviews, analyze active users, and export events dynamically while preserving end-user privacy.
Pydantic AI validates every Umami Cloud tool response against typed schemas, catching data inconsistencies at build time. Connect 4 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.
The Umami Cloud MCP Server exposes 4 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 Umami Cloud to Pydantic AI via MCP
Follow these steps to integrate the Umami Cloud 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 4 tools from Umami Cloud with type-safe schemas
Why Use Pydantic AI with the Umami Cloud MCP Server
Pydantic AI provides unique advantages when paired with Umami Cloud 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 Umami Cloud integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Umami Cloud connection logic from agent behavior for testable, maintainable code
Umami Cloud + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Umami Cloud MCP Server delivers measurable value.
Type-safe data pipelines: query Umami Cloud with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Umami Cloud tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Umami Cloud and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Umami Cloud responses and write comprehensive agent tests
Umami Cloud MCP Tools for Pydantic AI (4)
These 4 tools become available when you connect Umami Cloud to Pydantic AI via MCP:
users
Get the number of active users on a website
websites.list
List websites configured in Umami
websites.metrics
Get specific metrics (urls, browsers, os, devices) for a website
websites.stats
Get summary statistics for a website in a time range
Example Prompts for Umami Cloud in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Umami Cloud immediately.
"Show me the top 5 pages by pageviews on my main website for the last 7 days."
"Analyze the bounce rate and absolute session duration from mobile users on the pricing page today."
"List the top 4 referral traffic sources matching 'social' for this month."
Troubleshooting Umami Cloud MCP Server with Pydantic AI
Common issues when connecting Umami Cloud to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiUmami Cloud + Pydantic AI FAQ
Common questions about integrating Umami Cloud 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 Umami Cloud 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 Umami Cloud to Pydantic AI
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.