Umami Cloud MCP Server for Windsurf 4 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Umami Cloud through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Umami Cloud and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"umami-cloud": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Windsurf's Cascade agent chains multiple Umami Cloud tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 4 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
The Umami Cloud MCP Server exposes 4 tools through the Vinkius. Connect it to Windsurf 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 Windsurf via MCP
Follow these steps to integrate the Umami Cloud MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Umami Cloud
Open Cascade and ask: "Using Umami Cloud, help me...". 4 tools available
Why Use Windsurf with the Umami Cloud MCP Server
Windsurf provides unique advantages when paired with Umami Cloud through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 4 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Umami Cloud + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Umami Cloud MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Umami Cloud and generate models, types, or handlers based on real API responses
Live debugging: query Umami Cloud tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Umami Cloud and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Umami Cloud data with Cascade's code generation to scaffold entire features in minutes
Umami Cloud MCP Tools for Windsurf (4)
These 4 tools become available when you connect Umami Cloud to Windsurf 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 Windsurf
Ready-to-use prompts you can give your Windsurf 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 Windsurf
Common issues when connecting Umami Cloud to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Umami Cloud + Windsurf FAQ
Common questions about integrating Umami Cloud MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.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 Windsurf
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.