clickhouse · MCP Server

ClickHouse + Improvado MCP — Billions of Rows, One Question Away

Improvado's MCP server gives your AI agent a direct line into ClickHouse. Write queries, explore schemas, debug slow SQL, and surface insights from your data warehouse — all in plain English. Works with Claude, Cursor, and any MCP-compatible tool.

46K+ metrics ·Read & Write access ·500+ platforms ·<60s setup

Read

Read: Query Any ClickHouse Table Without Writing SQL

Your AI agent becomes a fluent ClickHouse analyst. Describe what you want in plain English — the MCP server generates optimized SQL, executes it, and returns structured results. Schema exploration included.

Example prompts

"What's our daily active user count for the last 30 days, broken down by region? Use the events table."

20 min → 1 min

"Show me the top 10 tables by row count and storage size in the analytics database."

10 min → 15 sec

"Find all queries in the query log from the last hour that took over 30 seconds. Show user, query text, and duration."

15 min → 30 sec

Works with Claude ChatGPT Cursor +5

Write

Write: Create Tables and Insert Data Through Conversation

Schema migrations, table creation, data inserts — your AI agent handles them through natural language. Describe the structure you need, confirm the generated DDL, and let the MCP server execute it.

Example prompts

"Create a materialized view that aggregates daily revenue by product_id from the orders table."

40 min → 5 min

"Add a column 'utm_medium' to the sessions table with type String and default empty string."

5 min → 30 sec

"Insert the attached CSV data into the campaigns staging table. Match column names automatically."

30 min → 2 min

Every action logged · Fully reversible · SOC 2 certified

Monitor

Monitor: Track Query Performance and Table Health

Your AI agent watches ClickHouse for slow queries, replication lag, disk pressure, and table growth anomalies. Get notified before performance degrades or storage runs out.

Example prompts

"Alert me if any query takes over 60 seconds or if CPU usage exceeds 80% for more than 5 minutes."

Manual → auto

"Every morning: report the 5 slowest queries from yesterday and the tables they hit."

1 hr → auto

"Flag if the events table grows by more than 20% in a single day compared to the 14-day average."

Manual → auto

Alerts sent to Slack, email, or your AI agent

Full cycle

The Closed Loop: Read → Decide → Write → Monitor

Your AI agent doesn't just surface data — it acts. Adjust pricing, update product descriptions, manage inventory, apply discounts — all through natural language. The MCP server translates intent into API operations.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Ideate

Launch

Measure

Analyze

Report

Iterate

One conversation. All six phases. Every platform.

The daily grind

Common problems. Direct answers.

Challenge 1

Non-Technical Teams Can't Self-Serve on ClickHouse

The problem

Every analyst question that requires ClickHouse becomes an engineering ticket. 'How many users triggered event X in region Y last quarter?' requires knowing table schemas, writing valid SQL, and understanding ClickHouse's dialect. The bottleneck is permanent.

How MCP solves it

Improvado's MCP server lets AI agents translate plain-English questions into optimized ClickHouse SQL automatically. Analysts ask in natural language — the agent queries, returns results, and explains them. Engineering ticket queue shrinks.

Try asking

How many users triggered 'checkout_complete' for the first time in the last 30 days, grouped by acquisition channel?

Answer in seconds

All data sources, one query

Challenge 2

Schema Documentation Is Always Out of Date

The problem

ClickHouse tables get added and modified constantly. Column documentation lives in a Notion page nobody updates. New analysts spend hours reverse-engineering schemas from query examples and asking senior engineers what fields mean.

How MCP solves it

The MCP server exposes live ClickHouse schema introspection. Your AI agent can describe any table, explain column types and sample values, and even infer business meaning from naming patterns — always reflecting the current state.

Try asking

Describe the sessions table — what does each column represent and what does a sample row look like?

Full detail preserved

No data loss on export

Challenge 3

Slow Queries Are Hard to Debug Without Expertise

The problem

A dashboard query is taking 45 seconds. You know it's slow, but diagnosing why requires knowing ClickHouse internals: which indexes are used, whether the ORDER BY matches the table's primary key, if there's a full table scan happening. Most team members don't have that expertise.

How MCP solves it

Paste the slow query into your AI agent. The MCP server fetches the query plan and table schema, and the agent explains exactly what's causing the slowdown — in plain English — and suggests specific optimizations.

Try asking

This query takes 40 seconds. Analyze the execution plan and tell me how to speed it up.

Unified data model

Compare anything side by side

👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Each role asks in natural language — the MCP server handles the complexity (rate limits, auth, schema normalization, governance) behind the scenes.

Agency CEO

Portfolio health. Client risk. Revenue signals.

Media Strategist

70% strategy, not 70% ops. Auto campaign QA.

Marketing Analyst

Zero wrangling. Cross-platform. AI narratives.

Account Manager

QBR decks auto-generated. Call prep in 30s.

Creative Director

Performance-to-brief. Predict winners before spend.

FAQ

Common questions

What ClickHouse operations can AI agents perform through MCP?

SELECT queries with full SQL support, schema introspection (tables, columns, types, indexes), query log analysis, DDL operations (CREATE TABLE, ALTER, materialized views), and INSERT operations. The scope is controlled by the ClickHouse user credentials you provide during setup.

Is it safe to give an AI agent write access to ClickHouse?

Write operations require explicit user confirmation before execution. You can also scope the ClickHouse credentials to read-only access initially. All executed statements appear in the ClickHouse query log with the MCP session identifier for full auditability — all through Improvado's hosted MCP server.

Does this work with ClickHouse Cloud and self-hosted clusters?

Yes. Improvado's MCP server connects to any ClickHouse instance accessible over HTTPS or native TCP — whether that's ClickHouse Cloud, a self-managed cluster, or an on-premises deployment. Multi-cluster setups are supported.

How does the AI generate correct SQL for complex ClickHouse queries?

The MCP server provides the AI agent with live schema context — table definitions, column types, sample values, and existing indexes. This grounding lets the agent write accurate ClickHouse-dialect SQL, including ARRAY JOIN, window functions, and FINAL modifier usage, without hallucinating column names — all through Improvado's hosted MCP server.

How does the ClickHouse MCP integration handle large-scale queries without overloading the cluster?

The ClickHouse MCP integration translates natural-language questions into optimized SQL queries that take advantage of ClickHouse's columnar storage and indexing — such as using primary key ranges, partition pruning, and LIMIT clauses — to minimize scan scope. You can also configure query resource limits at the ClickHouse user profile level to cap memory and CPU usage for the integration's dedicated user. For very large tables, it is best practice to ensure queries filter on the primary key or a low-cardinality sort key to keep response times fast — all through Improvado's hosted MCP server.

Can I connect the ClickHouse MCP integration to a read replica to avoid impacting production workloads?

Yes, pointing the MCP integration to a ClickHouse read replica or a dedicated analytics node is a recommended production pattern. This ensures that AI-driven queries do not compete with your application's write-heavy or latency-sensitive workloads. You simply configure the integration with the host and credentials of the replica, and all queries will be routed there. ClickHouse's native replication keeps replicas close to real-time, so data freshness is typically within seconds — all through Improvado's hosted MCP server.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II GDPR 500+ Platforms