Azure Cognitive Search MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Azure Cognitive Search 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: {
"azure-cognitive-search": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Azure Cognitive Search Agent",
instructions:
"You help users interact with Azure Cognitive Search " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Azure Cognitive 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 Cognitive Search MCP Server
Connect your Azure Cognitive Search endpoints to any AI agent and bring the power of enterprise information retrieval directly into your conversational workflows.
Mastra's agent abstraction provides a clean separation between LLM logic and Azure Cognitive Search tool infrastructure. Connect 7 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
- Deep Search & Point-Reads — Execute full-text lexical queries across indexes or extract an exact, specific document mapping using its explicit UUID key
- Vector Retrieval — Inject structural arrays into predefined embedding domains for accurate, multidimensional K-Nearest Neighbor mapping
- Indexers & Skillsets — Discover active background tasks routing Azure blobs or databases, and inspect active Cognitive Services orchestrating OCR and text enrichment
- Schema Definitions — Trace exact token analyzers and dimensional shapes securing your cloud's query behaviors natively
The Azure Cognitive Search MCP Server exposes 7 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 Cognitive Search to Mastra AI via MCP
Follow these steps to integrate the Azure Cognitive 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 7 tools from Azure Cognitive Search via MCP
Why Use Mastra AI with the Azure Cognitive Search MCP Server
Mastra AI provides unique advantages when paired with Azure Cognitive Search through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Azure Cognitive 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 Cognitive 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 Cognitive Search + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Azure Cognitive Search MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Azure Cognitive Search, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Azure Cognitive 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 Cognitive Search on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Azure Cognitive Search tools alongside other MCP servers
Azure Cognitive Search MCP Tools for Mastra AI (7)
These 7 tools become available when you connect Azure Cognitive Search to Mastra AI via MCP:
get_document
Retrieve an exact single document mapped explicitly by its UUID key
get_index
Get Azure Cognitive Search index details
list_indexers
List explicitly scheduled Azure Search indexers
list_indexes
List Azure Search indexes
list_skillsets
List Cognitive Services skillsets orchestrating text enrichments
search_documents
Execute lexical full-text queries against Azure cognitive indexes
vector_search
Perform structural KNN vector searches against Azure embedding profiles
Example Prompts for Azure Cognitive Search in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Azure Cognitive Search immediately.
"Use the Get Document tool to show me the full raw JSON of record 'abc-1234'."
"List active Indexers and tell me if the blob-syncher is functioning."
"List all active skillsets enhancing our search environment currently."
Troubleshooting Azure Cognitive Search MCP Server with Mastra AI
Common issues when connecting Azure Cognitive Search to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAzure Cognitive Search + Mastra AI FAQ
Common questions about integrating Azure Cognitive 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 Cognitive Search with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Cognitive Search to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
