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[](https://pypi.org/project/mcp-clickhouse)
run_query- Execute SQL queries on your ClickHouse cluster.
- Input:
query(string): The SQL query to execute. - Queries run in read-only mode by default (
CLICKHOUSE_ALLOW_WRITE_ACCESS=false), but writes can be enabled explicitly if needed.
list_databases- List all databases on your ClickHouse cluster.
list_tables- List tables in a database with pagination.
- Required input:
database(string). - Optional inputs:
like/not_like(string): ApplyLIKEorNOT LIKEfilters to table names.page_token(string): Token returned by a previous call for fetching the next page.page_size(int, default50): Number of tables returned per page.include_detailed_columns(bool, defaulttrue): Whenfalse, omits column metadata for lighter responses while keeping the fullcreate_table_query.- Response shape:
tables: Array of table objects for the current page.next_page_token: Pass this value back to fetch the next page, ornullwhen there are no more tables.total_tables: Total count of tables that match the supplied filters.
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: Developer Tools
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Three weeks from now, you'll want ClickHouse/mcp-clickhouse again. Will you remember where to find it?
Save it to your library and the next time you need ClickHouse/mcp-clickhouse, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. ClickHouse/mcp-clickhouse. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from awesome:punkpeye/awesome-mcp-servers
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