Use ClickHouse with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Manage vector embeddings and SQL via ClickHouse. list databases, execute SQL, and perform high-speed vector searches directly from any AI agent.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 7 capabilities
The complete ClickHouse capability set.
These are the exact actions your AI can choose when you ask it to work with ClickHouse.
01-04
4 capabilities in this set.
Part of 7 available through ClickHouse.
- 01
List databases
Identify bounded logical arrays managing top-level ClickHouse schemas
- 02
Describe table
Perform structural extraction of properties driving active column schemas
- 03
Get version
G. HNSW support). Identify precise active cluster limits spanning the execution runtime
- 04
Execute SQL
Provision a highly-available SQL execution pushing arbitrary arbitrary DML/DDL or SELECTs
05-07
3 capabilities in this set.
Part of 7 available through ClickHouse.
- 05
Get table stats
Extracts explicitly attached internal structural states pulling cluster health
- 06
List tables
Retrieve the exact structural matching verifying table limits inside a database
- 07
Vector search
Identify explicit mathematical distance traces routing Vector Embeddings
Observed, not estimated
865ms average. Fast in production.
ClickHouse is checked daily against the live service.
- Fastest day
- 699ms
- Slowest day
- 1157ms
- 14-day trend
- Stable+3%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 7 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of ClickHouse, so you can see the experience inside your AI.
It does not authenticate your account with ClickHouse. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
ClickHouse Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_567ij3B5hJvT6KRM8Z5LcFbGNttrwDvwD2OPp6c2/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — ClickHouse capabilities are ready to use.
{
"mcpServers": {
"clickhouse-vector-search-mcp": {
"url": "https://edge.vinkius.com/vk_preview_567ij3B5hJvT6KRM8Z5LcFbGNttrwDvwD2OPp6c2/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions ClickHouse owners ask.
- 01
Can my agent perform high-speed vector similarity searches?
Yes. Provide the database, table, and the vector embedding array in JSON format. The agent uses ClickHouse's native distance functions (cosine or L2) to return the closest matches, leveraging ClickHouse's industry-leading OLAP performance.
- 02
Can I execute arbitrary SQL commands directly through the agent?
Absolutely. The 'execute_sql' capability allows you to push any valid ClickHouse SQL (DML, DDL, or SELECT) to your cluster. This is perfect for managing tables, updating records, or generating custom analytical reports on the fly.
- 03
How do I check if my ClickHouse instance supports HNSW indices?
Ask your agent to get the version details. The agent checks your ClickHouse build and identifies exactly which capability branches are active, confirming if advanced vector features like HNSW support are available in your runtime environment.
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