Sumo Logic

Sumo Logic MCP Connector for Claude

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Connect your AI to Sumo Logic. Orchestrate log searches, monitor active collectors, and analyze system events efficiently.

9 tools Official Updated Jun 28, 2026 Official Vinkius Partner

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.

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.

How it works

  1. Enable the Sumo Logic MCP integration module in your Vinkius environment.
  2. In the parameter settings, authenticate securely using your standard SUMO_ACCESS_ID alongside your SUMO_ACCESS_KEY directly from your administrative dashboard.
  3. Instruct your artificial intelligence naturally: "Run a log search on our production cluster for 'timeout errors' spanning the last 2 hours, wait for completion, and summarize the recurring IPs."

Who is this for?

  • DevOps Engineers — Debug and resolve incidents rapidly without switching screens, utilizing precise searches right at the conversational terminal mapping root causes.
  • Site Reliability Engineers (SREs) — Validate data ingest loads, track platform limits dynamically, and evaluate webhook configurations accurately and efficiently.
  • Security Operations Analyists (SecOps) — Evaluate log trails and access control parameters concurrently directly securely exploring logs independently from web consoles.
log-analysissecurity-monitoringincident-responsedata-ingestionsystem-observability

9 tools expose this connector's capabilities to your AI agent.

list_account_users

Lists all registered users in the account

list_active_webhooks

Lists configured alert webhooks

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_collectors

Lists all data collectors configured in Sumo Logic

list_account_roles

Lists all security roles in the account

See how to talk to your AI agent using Sumo Logic.

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

Authenticating logic cleanly verifying parameters safely accurately... **Account Operatives Located (`list_account_users`)**: - `Sarah Connor (s.connor@sumo.io)` - Admin - `John Ops (j.ops@sumo.io)` - Observer **External Endpoints Mapped Systematically (`list_active_webhooks`)**: - `PagerDuty Alerts` (Status: Active) - `Slack #sec-ops channel` (Status: Active) Successfully executed read tasks seamlessly inherently securely clearly effectively.

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

Initiating search constraints flawlessly... Executed `create_search_job` cleanly, allocating Job ID `881A-9XF` securely. Actively parsing `get_search_status` locally: - Check 1: Processing dynamically. - Check 2: Resolution Finalized accurately. Status natively secured actively.

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

Retrieving output systematically and faithfully... **Log Occurrences Captured via `get_search_results` natively**: - Incident 08:00 AM: IP 10.4.5.1 failed authentication structurally. - Incident 11:30 AM: IP 192.168.1.10 unauthorized access attempt. Search results retrieved seamlessly.

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.

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