Adikteev 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 Adikteev through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
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: {
"adikteev": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Adikteev Agent",
instructions:
"You help users interact with Adikteev " +
"using 5 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Adikteev?"
);
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 Adikteev MCP Server
Connect your Adikteev account to your AI agent to unlock professional app retargeting and user retention insights. From managing custom audience segments to monitoring campaign performance and retrieving churn probability scores, your agent handles your mobile growth ecosystem through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Adikteev tool infrastructure. Connect 5 tools through 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
- Audience Orchestration — List, create, and manage audience segments for targeted app retargeting campaigns
- Performance Reporting — Retrieve detailed campaign performance data to monitor ROI and engagement metrics
- Churn Prediction — Access churn probability scores to identify at-risk app users before they leave your ecosystem
- Company Insights — List companies and retrieve technical metadata required for audience management
- Growth Monitoring — Quickly audit your retargeting efforts and identify high-value user segments directly from chat
The Adikteev 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 Adikteev to Mastra AI via MCP
Follow these steps to integrate the Adikteev 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 Adikteev via MCP
Why Use Mastra AI with the Adikteev MCP Server
Mastra AI provides unique advantages when paired with Adikteev through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Adikteev 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 Adikteev 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
Adikteev + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Adikteev MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Adikteev, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Adikteev as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Adikteev on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Adikteev tools alongside other MCP servers
Adikteev MCP Tools for Mastra AI (5)
These 5 tools become available when you connect Adikteev to Mastra AI via MCP:
create_segment
Create an audience segment
get_churn_scores
Retrieve user churn scores
get_reporting
Get campaign performance data
list_companies
Retrieve your company ID
list_segments
List audience segments
Example Prompts for Adikteev in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Adikteev immediately.
"List all audience segments for my company."
"Retrieve the churn scores for my app with bundle 'com.example.app'."
"Show me the performance of my retargeting campaigns."
Troubleshooting Adikteev MCP Server with Mastra AI
Common issues when connecting Adikteev to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAdikteev + Mastra AI FAQ
Common questions about integrating Adikteev 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 Adikteev 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 Adikteev to Mastra AI
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.