Data & Analytics · ClickHouse MCP + Claude
ClickHouse MCP with Claude: Fast Analytics on Your Observability Data
The short answer
Claude works with ClickHouse through the ClickHouse MCP server, an open-standard connector that lets Claude securely run queries against ClickHouse Cloud. Users ask questions in plain English, Claude turns them into SQL, runs them with the permissions granted, and returns aggregated metrics, filtered logs or exported results.
What is ClickHouse MCP?
ClickHouse is a database built for fast analysis of very large volumes of data. ClickHouse Cloud is its managed service, and ClickStack is the observability layer that stores logs, metrics and traces. Engineering, site reliability, security and data teams use it to find out what their systems are doing and why. The ClickHouse MCP server gives AI agents and chatbots a secure way to query this data without each team needing to write SQL by hand.
How Claude connects to ClickHouse MCP through MCP
The Model Context Protocol, usually called MCP, is an open standard that lets Claude securely use other software. Think of it as a universal adapter between Claude and a tool. Once the ClickHouse MCP server is connected, Claude can work with ClickHouse data in the same way a skilled analyst would, but in response to a plain English request.
Once connected, Claude can typically run SQL queries, aggregate observability metrics over chosen time ranges, filter logs by service, severity or keyword, and export query results for further use. Claude explains what it found and can show the query it ran, so results remain transparent and easy to check.
Access is controlled by the organisation. Sign-in uses dynamic client registration with OAuth, so each connection is authorised through a standard secure sign-in flow. We set least-privilege permissions so Claude only reads the datasets it needs, and we can require people to approve any change or sensitive export before it happens. Audit logs record activity for review.
What you can automate
Incident investigation for site reliability teams
When an alert fires, an engineer can ask Claude which services showed error spikes in the last hour, which logs match a specific error code and how the latency trend compares with yesterday. Claude runs the queries and summarises the likely pattern, so the on-call engineer spends less time writing queries and more time fixing the problem.
Weekly service health reporting
A platform manager can ask for error rates, uptime-related metrics and slow-request counts by service for the past seven days. Claude aggregates the figures, highlights services that moved outside normal ranges and exports the table for the operations review pack, saving the manual effort of building the same report each week.
Security and audit log review
A security analyst can filter authentication and access logs for unusual patterns, such as repeated failed sign-ins from one source or access outside working hours. Claude surfaces the matching records and exports them for the security team to examine, while analysts keep control of every decision that follows.
Product usage insight for business teams
Product managers can ask how often a feature is used, which error messages customers see most and how usage changes after a release. Claude answers in plain language with supporting figures, so non-technical leaders get answers without waiting for a data request to be queued.
Capacity planning for infrastructure teams
Infrastructure leads can ask how resource consumption has grown over several months and where the next bottleneck is likely to appear. Claude aggregates the metrics, presents trends and exports the results for budgeting discussions with finance.
An end-to-end workflow: Incident-to-ticket triage
TriggerA monitoring alert shows a sudden rise in checkout failures.
Claude queries ClickHouse MCP for error logs from the checkout service over the last 30 minutes and groups them by error type.
Claude compares the error rate with the same period on the previous week and flags the change.
Claude pulls the affected request IDs and the deployment version active at the time.
Claude opens a ticket in the organisation's ticketing system with the summary, the query results and the suggested next checks, and assigns it to the owning team.
The on-call engineer reviews the ticket, approves any further data export and confirms the next action.
OutcomeThe engineering team starts diagnosis with a clear, evidence-based summary in minutes rather than hours, and the incident record is complete from the first moment.
How we set it up
Free automation audit
We review how your teams currently investigate logs, metrics and performance issues, and identify the reports and queries worth automating first.
Secure connection
We connect Claude to ClickHouse MCP using dynamic client registration with OAuth, so each user signs in through a standard secure flow with least-privilege access.
Workflow design
We design the end-to-end workflow across ClickHouse and your other systems, such as Microsoft 365, your CRM, ERP or ticketing platform, with people approving consequential actions.
Testing with real cases
We test the workflow against past incidents and reports to confirm that queries, summaries and exports match what your team would have produced.
Launch, monitoring and training
We launch with monitoring and audit logs in place, then train your team to use the workflow confidently and to review its outputs.
Who benefits
- Site reliability and engineering leads
- Faster incident diagnosis with evidence gathered in plain English queries.
- Security and compliance analysts
- Quicker review of access and audit logs, with every export approved and recorded.
- Operations and platform managers
- Regular reports produced automatically, without manual query work each week.
- Product and business leaders
- Direct answers to usage questions without waiting in a data request queue.
Security and control
- Least-privilege access so Claude reads only the datasets each user is permitted to see.
- Secure OAuth sign-in with dynamic client registration, so each connection is individually authorised.
- Human approval required for sensitive exports and any consequential action.
- Audit logs of queries run and results exported, available for review.
- Data hosting in a region chosen to meet your requirements, with monitoring after launch.
For teams in the US, UK, India and the Middle East
Organisations in the United States and the United Kingdom can host their Claude-based workflows in those regions to align with their security and data governance policies. Indian organisations are supported under the Digital Personal Data Protection Act, 2023, and we design access controls to match its requirements. Organisations in the UAE and Saudi Arabia are supported under local data protection laws, and hosting region is selected to meet each client's compliance needs. Final compliance responsibilities should be confirmed with your legal and security advisers.
Learn more about Claude and MCP
Anthropic's AI model and assistant.
Secure links between Claude and business tools.
How engineers build and change software with Claude.
Hosted agents that run multi-step work.
The open standard Claude uses to connect to tools.
Frequently asked questions
What does the ClickHouse MCP server do?
The ClickHouse MCP server is a connector that lets AI agents and chatbots query ClickHouse Cloud data securely. It typically supports running SQL queries, aggregating observability metrics, filtering logs and exporting results, all requested in natural language. It acts as a controlled bridge, so the AI works within the permissions you set.
Is ClickHouse MCP secure?
Security depends on how it is configured. Sign-in uses dynamic client registration with OAuth, and access can be restricted to the datasets each user needs. We add human approval for sensitive exports and keep audit logs of activity, so your team stays in control of what data is accessed and shared.
What can Claude do with ClickHouse once connected?
Once connected, Claude can typically run analytical queries, summarise metrics across time periods, filter logs by service or keyword, and export results. It explains its findings in plain language and can show the query used, so people can verify the answers before acting on them.
How long does setup take?
Timelines vary with the number of data sources, workflows and approval steps involved. A focused connection with one or two workflows is often quicker to deploy than a multi-system build. We confirm the timeline during the free automation audit, once we understand your requirements.
Which plan or permissions are needed?
Generally, you need an active ClickHouse Cloud environment and a user account with permissions to the datasets you want Claude to query. The exact requirements depend on your current setup, so we review your access and plan during the audit and recommend the least-privilege configuration.