Azure AI Search MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Azure AI Search through the 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: {
"azure-ai-search": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Azure AI Search Agent",
instructions:
"You help users interact with Azure AI Search " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Azure AI Search?"
);
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 Azure AI Search MCP Server
Connect your Azure AI Search endpoints to any AI agent and bring the power of enterprise RAG (Retrieval-Augmented Generation) directly into your conversational workflows.
Mastra's agent abstraction provides a clean separation between LLM logic and Azure AI Search tool infrastructure. Connect 6 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
- Vector & Full-Text Search — Execute precise K-Nearest Neighbors (KNN) retrieval or perform deep lexical BM25 BM25 queries against millions of documents
- Indexes & Schemas — List your search indexes and inspect structural schema definitions including analyzers, vector profiles, and semantic configurations
- Data Sources — Extract REST maps detailing where your Azure indexers securely source unstructured data (CosmosDB, Blob Containers, Azure SQL)
- Indexers — Audit and monitor your scheduled synchronization agents pulling continuous state transitions synchronously
The Azure AI Search MCP Server exposes 6 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 Azure AI Search to Mastra AI via MCP
Follow these steps to integrate the Azure AI Search 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 6 tools from Azure AI Search via MCP
Why Use Mastra AI with the Azure AI Search MCP Server
Mastra AI provides unique advantages when paired with Azure AI Search through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Azure AI Search 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 Azure AI Search 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
Azure AI Search + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Azure AI Search MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Azure AI Search, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Azure AI Search as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Azure AI Search on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Azure AI Search tools alongside other MCP servers
Azure AI Search MCP Tools for Mastra AI (6)
These 6 tools become available when you connect Azure AI Search to Mastra AI via MCP:
get_index
Get explicit details of a single Azure search index configuration
list_datasources
List Azure AI Search data sources explicitly mapped
list_indexers
List explicit scheduled Azure indexer tasks
list_indexes
List all Azure AI Search indexes
search_documents
Execute lexical Full-Text search queries against Azure Indexes
vector_search
Highly targeted relevance extraction spanning dimensional maps. Perform Azure vector similarity searches via explicit embedding spaces
Example Prompts for Azure AI Search in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Azure AI Search immediately.
"Show me the configuration schema for our 'corporate-docs-v2' index."
"List the Azure Search indexers and tell me if any are failing."
"Run a full-text lexical search for 'Q3 Financial Audits' in the reports index."
Troubleshooting Azure AI Search MCP Server with Mastra AI
Common issues when connecting Azure AI Search to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAzure AI Search + Mastra AI FAQ
Common questions about integrating Azure AI Search 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 Azure AI Search 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 Azure AI Search to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.