Logz.io MCP for AI. Query logs and manage alerts via natural language chat.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
How this MCP server connects to your AI agent
Logz.io MCP lets your AI agent talk directly to your observability platform. Instead of logging into a dashboard and running complex queries, you simply ask your agent for insights into your logs, security rules, or triggered alerts.
It handles advanced searches using Elasticsearch DSL so you can monitor critical events and manage system configurations—like creating new SIEM rules or adjusting alert status—all from a single chat interface.
What AI agents can do with Logz.io Automation
Create alert
Sets up a new monitoring alert that triggers when specific conditions are met in the logs.
Create deployment markers
Adds visual markers to graphs, helping you pinpoint where code deployments occurred within exception data.
Create lookup list
Builds a curated list of values (like blacklisted IPs) used for checking against SIEM security rules.
Execute detailed queries against massive datasets of historical logs using advanced search syntax.
List, create, update, or temporarily disable alerts based on specific system conditions.
Retrieve a history of triggered security events and the underlying logs that caused them.
View or modify user permissions across different accounts within your logging infrastructure.
Create, update, and delete complex security rules to automatically flag suspicious activity.
Ask an AI about this
Waiting for input…
What AI agents can do with Logz.io: 24 Tools for Observability
This collection of tools lets you perform every major function of log monitoring—from simple searching to advanced security rule management—all through your agent's chat interface.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Logz.io on VinkiusCreate Alert
Sets up a new monitoring alert that triggers when specific conditions are met in the logs.
Create Deployment Markers
Adds visual markers to graphs, helping you pinpoint where code deployments occurred...
Create Lookup List
Builds a curated list of values (like blacklisted IPs) used for checking against...
Create Metrics Account
Initializes a new dedicated account to track specific metrics within the logging...
Create Security Rule
Establishes a brand new security rule that automatically flags suspicious activity...
Create Siem Account
Sets up an entirely separate SIEM account linked to your main logging data store for segmented access and monitoring.
Create Snapshot
Takes a full, point-in-time snapshot of the Kibana dashboard view for later review or backup.
Create User
Adds a new user account with defined permissions to the logging platform.
Delete Alert
Removes an existing alert definition from the system entirely.
Delete Security Rule
Permanently deletes a security rule that was previously active in your SIEM...
Delete User
Removes a user account and associated access rights from the platform.
Disable Alert
Turns off an existing alert, preventing it from triggering further notifications while you troubleshoot.
Enable Alert
Reactivates a previously disabled alert, allowing monitoring to resume immediately.
Get Lookup List
Retrieves the contents of an existing lookup list using its unique ID.
Get Snapshot
Fetches the saved state of a Kibana snapshot, allowing you to view historical...
List Alerts
Returns a comprehensive list of every alert currently configured in the system.
List Insights
Retrieves automated insights, such as potential log exceptions or common public CI...
List Triggered Alerts
Fetches a paginated list of alerts that have recently fired and require attention.
List Users Recursive
Lists all user accounts across the main account and any linked sub-accounts for a complete audit view.
List Users
Retrieves all users associated with one specific, single account ID.
Scroll Logs
Handles very large search results by fetching the next chunk of data from a previous...
Search Logs
Searches all account log data using powerful Elasticsearch DSL syntax, capable of...
Search Lookup Lists
Finds and filters available lookup lists by name or content for SIEM rule creation.
Search Security Event Logs
Narrows down the logs to show only the specific records that caused a security event to trigger.
Search Security Events
Queries and retrieves details about all security events triggered by any defined rule.
Search Security Rules
Searches the library of existing SIEM security rules to find matching or relevant...
Suspend User
Temporarily suspends a user's access rights, revoking their ability to log into the...
Unsuspend User
Restores full access permissions for a previously suspended user account.
Update Alert
Modifies the criteria or notification settings of an existing alert definition...
Update Security Rule
Changes the logic, severity, or target of a security rule to adapt to new threats.
Update User
Modifies an existing user's profile, roles, or access permissions on the platform.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Logz.io integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Logz.io, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Logz.io. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Built on the Model Context Protocol (MCP) for Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 31 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
The manual chore of incident investigation, Solved with Vinkius AI Gateway
Right now, when an alert fires, you open the monitoring dashboard. You filter by severity, then manually select the date range. Next, you have to click into the logs tab, paste complex search queries, and hit run. If the initial query fails or returns too much data, you're stuck clicking 'next page' dozens of times until you find what you need.
With this MCP, that entire sequence disappears. You just tell your agent: 'Find all critical API errors from the last two hours.' The system executes the necessary complex log search and presents only the actionable results right in your chat window. It’s instant focus.
Managing security rules with Logz.io MCP
Manually updating a SIEM rule means navigating deep into configuration menus, finding the exact policy you need to change, and carefully rewriting code snippets or logic gates before saving. One misplaced semicolon can mean a critical vulnerability is missed.
Now, tell your agent: 'Update the unauthorized access security rule to flag geo-IPs outside of North America.' The MCP handles the precise update via `update_security_rule`. You get instant confidence that the change was applied correctly and immediately enforced.
What your AI can actually do with this
You can analyze infrastructure logs, manage alerts, and check security compliance without ever leaving your AI client. This MCP connects directly to Logz.io, letting you interact with deep log data using natural language prompts. Need to find out why an API endpoint failed? Just ask your agent to search the error logs for a specific pattern.
Want to adjust monitoring rules? You can tell it to list all configured alerts or even delete one that's no longer relevant. If you need to audit security events, your agent pulls up triggered alerts and shows you exactly what happened. It’s like having a specialized Ops team member available 24/7 inside your chat window.
By connecting this MCP through Vinkius, you get immediate access to powerful log analysis tools, making incident response faster and way less click-heavy.
019ea5f6-9dfd-714e-b259-1ade117a140a 
Here's how it actually works
The bottom line is that you use a single conversational interface instead of navigating multiple web dashboards and running manual API calls.
Subscribe to this MCP and provide your Logz.io API token along with the correct region code.
Your AI client uses the provided credentials to establish a secure connection to the Logz.io platform's APIs.
You prompt your agent in natural language, asking it to perform an action—like finding 'Connection Timeout' errors or listing all active alerts—and the MCP returns the actionable data.
Who is this actually for?
This connector is built for engineers and security professionals who spend their nights staring at dashboards, copy-pasting error codes, and context-switching between monitoring tools. It’s for people whose job requires immediate visibility into system health without the friction of a complex UI.
Searching historical logs for specific failure patterns (like 'connection timeout') and using the agent to create deployment markers on exception graphs.
Reviewing a paged list of triggered alerts and adjusting alert configurations or enabling/disabling specific monitoring rules during an incident call.
Auditing logs for unauthorized access attempts, checking security rule status, and listing all users to verify compliance.
What Changes When You Connect
You cut down investigation time dramatically by using the search_logs tool to run complex queries without switching from your agent client. You can search millions of log entries instantly, identifying patterns like 'Connection Timeout' errors immediately.
Never miss a critical issue again. Use list_triggered_alerts and then filter those results in the chat to pinpoint only 'High' severity events, giving you instant situational awareness during an incident.
Managing security policies is cleaner than ever. You can use dedicated tools like create_security_rule or update_security_rule right through your agent conversation, eliminating manual UI navigation for compliance updates.
User access management becomes simple. Instead of finding the user settings page, you simply ask your agent to list all users with list_users_recursive or suspend a compromised account using suspend_user on demand.
Incident response is faster when you can manage alerts in one place. Need to temporarily pause monitoring for a known false positive? Just tell the agent to use disable_alert, then reactivate it later with enable_alert.
See it in action
Finding the root cause of production errors
A DevOps Engineer notices a spike in 500 errors. Instead of logging into the Kibana interface, they ask their agent to run search_logs for 'HTTP 500' events in the last hour. The agent returns not just the count, but also the most common associated endpoint and user ID, saving hours of manual searching.
Responding to a potential security breach
A Security Analyst suspects unauthorized access. They prompt their agent to run search_security_events and then use the resulting event IDs to perform a highly focused search with search_logs, instantly isolating the exact log entries that detail the suspicious activity.
Updating compliance policies after an audit
An SRE learns a new vulnerability requires monitoring for specific IP ranges. They use their agent to first run create_lookup_list with the blacklisted IPs, and then immediately use create_security_rule to enforce the new rule across all monitored traffic.
Onboarding a new team member
A manager needs to grant access to a new developer. Rather than navigating complex permission trees, they ask their agent to create_user, specifying the necessary roles and ensuring the account is properly linked into the main logging system.
The honest tradeoffs
Treating logs like a simple text search
Typing 'show me error logs from yesterday' and expecting a list. This fails because log data requires structured querying (DSL) to be useful.
Always ask your agent to run search_logs and specify the required fields, time range, and severity level in your prompt. The MCP handles the complex DSL translation for you.
Manually managing alert states
Logging into the UI just to toggle an alert off because of a false positive, then forgetting which specific rule it was.
Use the dedicated tools. Ask your agent to list_alerts first, confirm the name, and then command it to use disable_alert. This keeps a record in the chat history.
Forgetting about historical data
Running an initial search for logs that span too many pages, hitting limits and losing context.
If your query returns massive results, prompt your agent to use scroll_logs. This ensures you can paginate through the entire dataset without interruption or loss of data.
When It Fits, When It Doesn't
Use this MCP if your job requires constant interaction with structured operational data: logs, alerts, and security rules. If you spend time checking dashboards for anomalies, auditing users, or enforcing compliance policies, this is for you. Don't use it if all you need is a simple chat interface to draft an email or summarize an article; those are general LLM functions. If your core task involves simply viewing documents or managing files outside of an operational system, stick to file-management tools instead. Remember that while the MCP can create_user and update_user, it's a specialized tool for Logz.io accounts, not a general directory service.
Questions you might have
How do I search logs using Logz.io with the search_logs tool? +
You tell your agent exactly what you need, like 'Search for all logs containing connection timeout in the EU region.' The MCP uses the underlying Elasticsearch DSL to execute a powerful query that returns structured results.
Can Logz.io MCP help me list and manage alerts? +
Yes. You can use list_alerts to see everything configured, or if you find a false positive, tell the agent to disable_alert so it doesn't spam your inbox.
What is the difference between list_triggered_alerts and search_security_events? +
Listing triggered alerts gives you an overview of recent issues. Running search_security_events lets you dive deeper, retrieving the specific logs that caused a security rule to fire.
I need to change user permissions; which tool should I use? +
Use update_user. You simply ask your agent what changes are needed—like revoking read access—and the MCP executes the permission modification safely.
We've already built the connector for Logz.io. Just plug in your AI agents and start using Vinkius.
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