Adobe Analytics MCP Server for Windsurf 5 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Adobe Analytics through the 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 Adobe Analytics and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"adobe-analytics": {
"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 Adobe Analytics MCP Server
Connect your Adobe Analytics account to your AI agent to unlock deep customer journey insights and real-time data orchestration. From retrieving complex reporting breakdowns to managing audience segments and auditing calculated metrics, your agent handles your enterprise analytics ecosystem through natural conversation.
Windsurf's Cascade agent chains multiple Adobe Analytics tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 5 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Enterprise Reporting — Retrieve synchronous reports with nested breakdowns and complex filters directly from chat
- Component Discovery — List and audit all available metrics and dimensions for your specific report suites
- Segment Management — List and retrieve details for audience segments to ensure your data is always relevant
- Report Suite Oversight — Manage and list your report suites (collections) to maintain organizational control
- Real-time Performance — Quickly identify traffic trends and engagement patterns without manual dashboard configuration
The Adobe Analytics MCP Server exposes 5 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 Adobe Analytics to Windsurf via MCP
Follow these steps to integrate the Adobe Analytics 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 Adobe Analytics
Open Cascade and ask: "Using Adobe Analytics, help me..." — 5 tools available
Why Use Windsurf with the Adobe Analytics MCP Server
Windsurf provides unique advantages when paired with Adobe Analytics 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 5 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Adobe Analytics + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Adobe Analytics MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Adobe Analytics and generate models, types, or handlers based on real API responses
Live debugging: query Adobe Analytics tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Adobe Analytics and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Adobe Analytics data with Cascade's code generation to scaffold entire features in minutes
Adobe Analytics MCP Tools for Windsurf (5)
These 5 tools become available when you connect Adobe Analytics to Windsurf via MCP:
get_dimensions
g. Page, Device Type) for a specific report suite ID. List dimensions for a report suite
get_metrics
List metrics for a report suite
get_report
0 JSON report request body. Retrieve an analytics report
list_report_suites
List available report suites
list_segments
List audience segments
Example Prompts for Adobe Analytics in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Adobe Analytics immediately.
"List all metrics available for report suite 'mycompany-prod'."
"Show me the top 5 pages by visits for yesterday."
"List all active segments in my Adobe Analytics account."
Troubleshooting Adobe Analytics MCP Server with Windsurf
Common issues when connecting Adobe Analytics to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Adobe Analytics + Windsurf FAQ
Common questions about integrating Adobe Analytics 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 Adobe Analytics 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 Adobe Analytics to Windsurf
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.