Azure Log Analytics Workspace MCP Server for Google ADKGive Google ADK instant access to 1 tools to Query Logs
GDPR Free for SubscribersGoogle Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Azure Log Analytics Workspace as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this MCP Server for Google ADK
The Azure Log Analytics Workspace MCP Server for Google ADK 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
Geminifrom google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="azure_log_analytics_workspace_agent",
instruction=(
"You help users interact with Azure Log Analytics Workspace "
"using 1 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports Azure Log Analytics Workspace as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK
When Google ADK 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 Google ADK via MCP
Follow these steps to wire Azure Log Analytics Workspace into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Azure Log Analytics Workspace MCP Server
Google ADK provides unique advantages when paired with Azure Log Analytics Workspace through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Azure Log Analytics Workspace
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Azure Log Analytics Workspace tools with BigQuery, Vertex AI, and Cloud Functions
Azure Log Analytics Workspace + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Azure Log Analytics Workspace MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Azure Log Analytics Workspace and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Azure Log Analytics Workspace tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Azure Log Analytics Workspace regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Azure Log Analytics Workspace
Example Prompts for Azure Log Analytics Workspace in Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting Azure Log Analytics Workspace to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkAzure Log Analytics Workspace + Google ADK FAQ
Common questions about integrating Azure Log Analytics Workspace MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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