Azure Log Analytics Workspace MCP Server for Mastra AIGive Mastra AI instant access to 1 tools to Query Logs
GDPR Free for SubscribersMastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Azure Log Analytics Workspace 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 for Mastra AI
The Azure Log Analytics Workspace MCP Server for Mastra AI is a standout in the Industry Titans category — giving your AI agent 1 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { 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-log-analytics-workspace": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Azure Log Analytics Workspace Agent",
instructions:
"You help users interact with Azure Log Analytics Workspace " +
"using 1 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Azure Log Analytics Workspace?"
);
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 Log Analytics Workspace MCP Server
This server strips away dangerous global Azure permissions. It gives your AI agent one surgical superpower: the ability to run KQL queries on one specific Log Analytics table.
Mastra's agent abstraction provides a clean separation between LLM logic and Azure Log Analytics Workspace tool infrastructure. Connect 1 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.
By strictly scoping access, your AI can safely troubleshoot application errors, analyze traffic spikes, and monitor infrastructure without ever gaining access to sensitive audit trails globally.
The Superpowers
- Absolute Containment: The agent is strictly locked to query a single table. It cannot search across all workspace logs.
- Native KQL Power: Supports full Kusto Query Language syntax, allowing the AI to filter, parse JSON payloads, and extract insights.
- Plug & Play Troubleshooting: Instantly gives your agent the eyes and ears it needs to debug production issues autonomously.
The Azure Log Analytics Workspace MCP Server exposes 1 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 1 Azure Log Analytics Workspace tools available for Mastra AI
When Mastra AI connects to Azure Log Analytics Workspace through Vinkius, your AI agent gets direct access to every tool listed below — spanning kql, log-querying, cloud-monitoring, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Query logs on Azure Log Analytics Workspace
Do NOT include the table name in your query operations. The engine automatically prepends the authorized table name. Just provide the KQL operations (e.g., "| where TimeGenerated > ago(1h) | limit 10"). Execute a Kusto (KQL) query against the configured Log Analytics table
Connect Azure Log Analytics Workspace to Mastra AI via MCP
Follow these steps to wire Azure Log Analytics Workspace into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Azure Log Analytics Workspace MCP Server
Mastra AI provides unique advantages when paired with Azure Log Analytics Workspace through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Azure Log Analytics Workspace 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 Log Analytics Workspace 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 Log Analytics Workspace + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Azure Log Analytics Workspace MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Azure Log Analytics Workspace, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Azure Log Analytics Workspace 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 Log Analytics Workspace on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Azure Log Analytics Workspace tools alongside other MCP servers
Example Prompts for Azure Log Analytics Workspace in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Azure Log Analytics Workspace immediately.
"Fetch the last 10 error logs."
"Find logs where the user ID was 'admin' in the last 24 hours."
Troubleshooting Azure Log Analytics Workspace MCP Server with Mastra AI
Common issues when connecting Azure Log Analytics Workspace to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAzure Log Analytics Workspace + Mastra AI FAQ
Common questions about integrating Azure Log Analytics Workspace 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?
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