Adobe Analytics MCP Server for Mastra AI 5 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Adobe Analytics through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"adobe-analytics": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Adobe Analytics Agent",
instructions:
"You help users interact with Adobe Analytics " +
"using 5 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Adobe Analytics?"
);
console.log(result.text);
}
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 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Adobe Analytics tool infrastructure. Connect 5 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra 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 Adobe Analytics to Mastra AI via MCP
Follow these steps to integrate the Adobe Analytics MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 5 tools from Adobe Analytics via MCP
Why Use Mastra AI with the Adobe Analytics MCP Server
Mastra AI provides unique advantages when paired with Adobe Analytics through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Adobe Analytics without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Adobe Analytics tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Adobe Analytics + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Adobe Analytics MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Adobe Analytics, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Adobe Analytics as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Adobe Analytics on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Adobe Analytics tools alongside other MCP servers
Adobe Analytics MCP Tools for Mastra AI (5)
These 5 tools become available when you connect Adobe Analytics to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Adobe Analytics to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAdobe Analytics + Mastra AI FAQ
Common questions about integrating Adobe Analytics MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Adobe Analytics with your favorite client
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Adobe Analytics to Mastra AI
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.
