AdButler 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 AdButler 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: {
"adbutler": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "AdButler Agent",
instructions:
"You help users interact with AdButler " +
"using 5 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with AdButler?"
);
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 AdButler MCP Server
Connect your AdButler account to your AI agent to unlock professional ad serving management and real-time reporting. From auditing publisher inventory to monitoring campaign delivery and analyzing click-through rates (CTR), your agent handles your ad operations through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and AdButler 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
- Inventory Management — List publishers and ad zones to maintain full control over where your advertisements are displayed
- Campaign Oversight — List and retrieve details for self-serve campaigns, including statuses and targeting rules
- Performance Reporting — Retrieve instant statistics on impressions, clicks, and revenue across your entire network
- Creative Auditing — List and manage ad creative assets to ensure your visual content is always up-to-date
- Revenue Optimization — Quickly identify top-performing zones or underdelivering campaigns directly from your chat interface
The AdButler 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 AdButler to Mastra AI via MCP
Follow these steps to integrate the AdButler 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 AdButler via MCP
Why Use Mastra AI with the AdButler MCP Server
Mastra AI provides unique advantages when paired with AdButler through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add AdButler 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 AdButler 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
AdButler + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the AdButler MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query AdButler, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed AdButler as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query AdButler on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using AdButler tools alongside other MCP servers
AdButler MCP Tools for Mastra AI (5)
These 5 tools become available when you connect AdButler to Mastra AI via MCP:
get_performance_report
Provide a specific metric type and optional dates. Retrieve aggregated ad performance metrics (impressions, clicks, CTR) across zones and campaigns in AdButler
list_campaigns
Retrieve a list of active and pending self-serve advertising campaigns in AdButler
list_creatives
Retrieve the library of ad assets (banners, videos) stored in your AdButler account
list_publishers
Retrieve the full list of publishers managing ad inventory in your AdButler network
list_zones
Requires Publisher ID. Retrieve the active ad zones (placements) linked to a specific AdButler publisher
Example Prompts for AdButler in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with AdButler immediately.
"List all publishers in my AdButler network."
"Show me the performance report for the last 7 days."
"List all active zones for publisher ID 12345."
Troubleshooting AdButler MCP Server with Mastra AI
Common issues when connecting AdButler to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAdButler + Mastra AI FAQ
Common questions about integrating AdButler 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 AdButler 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 AdButler to Mastra AI
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.