How does the AI handle asynchronous search jobs properly since large logs take time natively?

The integration specifically manages this asynchronously. The AI invokes `create_search_job` effectively obtaining a unique job tracking ID. It autonomously utilizes `get_search_status` routinely actively safely until the task reports resolution, seamlessly proceeding afterwards intelligently triggering `get_search_results` natively securely.

Can this integration edit user parameters, manage collectors fundamentally, or delete billing records?

No, this module functions predominantly securely executing read-only investigations or orchestrating transient analytical read capabilities (creates logically secure temporal jobs). Destructive modifications fundamentally affecting users, collectors realistically securely actively explicitly structurally are avoided completely securely internally naturally globally by architectural design.

Which log sources can the AI query through this integration?

Any source ingested by your Sumo Logic collectors — application logs, infrastructure metrics, cloud audit trails, and custom HTTP sources. The AI queries them all through the unified search API.

Sumo Logic MCP Server for Google ADK 9 tools — connect in under 2 minutes

Name: Sumo Logic
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 9 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Sumo Logic as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from 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="sumo_logic_agent",
    instruction=(
        "You help users interact with Sumo Logic "
        "using 9 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Sumo Logic MCP Server

Empower your AI workflows with the powerful machine data analytics computing of Sumo Logic. Connect your conversational interface to your security, incident management, and monitoring environments, enabling your LLM to actively query diagnostic logs, monitor data ingestion pipelines securely, and track account consumption seamlessly. Automate log analysis organically from the terminal, avoiding complex dashboard integrations entirely.

Google ADK natively supports Sumo Logic as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 9 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Log Search & Diagnosis — Formulate deep queries into your data leveraging create_search_job, track asynchronous execution with get_search_status, and securely fetch the resultant incident analytics running get_search_results.
Data Ingestion Monitoring — Systematically browse telemetry sources assigning context mapping via list_collectors and inspect granular configurations evaluating get_collector_details.
Account Administration — Enforce operational compliance rapidly evaluating access levels using list_account_roles and inspecting associated internal teams via list_account_users.
Operations Analytics — Trace organizational usage data assessing get_account_billing and confirm external alert hookings directly mapping systems via list_active_webhooks.

The Sumo Logic MCP Server exposes 9 tools through the Vinkius. Connect it to Google ADK 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 Sumo Logic to Google ADK via MCP

Follow these steps to integrate the Sumo Logic MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 9 tools from Sumo Logic via MCP

Why Use Google ADK with the Sumo Logic MCP Server

Google ADK provides unique advantages when paired with Sumo Logic 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 Sumo Logic

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 Sumo Logic tools with BigQuery, Vertex AI, and Cloud Functions

Sumo Logic + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Sumo Logic MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Sumo Logic and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Sumo Logic tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Sumo Logic regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Sumo Logic

Sumo Logic MCP Tools for Google ADK (9)

These 9 tools become available when you connect Sumo Logic to Google ADK via MCP:

create_search_job

Provide a query string, start time, and end time. Returns a search job ID for tracking. Creates a new log search job

get_account_billing

Retrieves billing and usage metrics

get_collector_details

Retrieves details for a specific collector

get_search_results

Retrieves the results of a completed search job

get_search_status

Retrieves the status of an existing search job

list_account_roles

Lists all security roles in the account

list_account_users

Lists all registered users in the account

list_active_webhooks

Lists configured alert webhooks

list_collectors

Lists all data collectors configured in Sumo Logic

Example Prompts for Sumo Logic in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Sumo Logic immediately.

"Fetch all account users along with active local integration webhooks sequentially properly."

"Create a new search job tracking 'auth_failure' errors over the last 24 hours."

"Retrieve the exact search results from the active job ID once the asynchronous monitoring reports completion."

Troubleshooting Sumo Logic MCP Server with Google ADK

Common issues when connecting Sumo Logic to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Sumo Logic + Google ADK FAQ

Common questions about integrating Sumo Logic MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.