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mcp-clickhouse MCP Server

by dockndevai
Data & AnalyticsModerate5.2LocalNew
Free

Query & manage ClickHouse for AI agents — SQL-classified safety.

About

MCP server for ClickHouse. Explore schemas, run analytical queries, and manage the database through natural language. Every statement is classified read / write / destructive and gated by access mode; read-only mode also runs under ClickHouse's own readonly setting. Includes database allowlists, protected system databases, destructive gating, result-row caps, dry-run, and audit logging.

Security Report

5.2
Moderate5.2Moderate Risk

Well-architected ClickHouse MCP server with a strong security model based on statement classification and layered access modes. The codebase demonstrates secure credential handling, proper input validation through SQL parsing, and defense-in-depth measures (server-side readonly enforcement, row caps, protected databases). Minor code quality issues around error handling and comprehensive input validation do not materially impact security. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.

7 files analyzed · 8 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

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env_vars

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HTTP Network Access

Connects to external APIs or services over the internet.

process_spawn

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How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "mcp-clickhouse": {
      "args": [
        "-y",
        "@dockndevai/mcp-clickhouse"
      ],
      "command": "npx"
    }
  }
}

Getting Started

Once installed, try these example prompts and explore these capabilities:

  • 1"What are the biggest tables in the analytics database?"
  • 2"Show the schema for events and run a daily-count query for this week"
  • 3"Which queries are currently running and using the most memory?"
  • 4Tool: execute — run a write/DDL statement (requires read-write mode)

Documentation

View on GitHub

From the project's GitHub README.

CI License: MIT npm

A Model Context Protocol server for ClickHouse. It lets an MCP-capable client (Claude Desktop, Claude Code, etc.) explore schemas, run analytical queries, and manage the database — with behaviour controlled entirely by flags.

The security model is statement-aware: every SQL statement is classified as read, write, or destructive, and gated against the current access mode. Read-only mode additionally runs queries under ClickHouse's own readonly=1 setting.

Features

  • Exploration & monitoring — databases, tables, columns, SHOW CREATE, table stats (parts/rows/bytes), running queries, server metrics, cluster topology.
  • Read queries — a query tool that only accepts read statements, capped at CLICKHOUSE_MAX_ROWS.
  • Management — an execute tool for INSERT/CREATE/ALTER (read-write) and DROP/TRUNCATE/DELETE (admin), each gated by classification.
  • Access modesread-onlyread-writeadmin, layered so a mode never exposes statements above its level.
  • Security flags — database allowlist, protected databases, destructive gating, row cap, dry-run, and JSON audit logging (see below).

Security model

ConcernFlagDefaultEffect
What can the server do?CLICKHOUSE_MODEread-onlyread-only exposes read tools only (and refuses non-SELECT in query); read-write adds execute for writes; admin allows destructive statements.
Which databases are in scope?CLICKHOUSE_DATABASE_ALLOWLIST(all)When set, operations on other databases are refused.
Which databases are read-only forever?CLICKHOUSE_PROTECTED_DATABASESsystem,information_schemaReadable, never mutable.
Can it run destructive SQL?CLICKHOUSE_ALLOW_DELETEfalseDROP/TRUNCATE/DELETE/… need this and admin mode.
Result size capCLICKHOUSE_MAX_ROWS1000Hard cap on rows returned to the model.
Preview without executingCLICKHOUSE_DRY_RUNfalseWrite/destructive statements validate + log intent, then return.
Audit trailCLICKHOUSE_AUDIT_LOGtrueEmits a JSON line to stderr per guarded operation.

Statement classification lives in src/sql.ts and is fail-safe: ALTER … DELETE/UPDATE counts as destructive, and anything unparseable is treated as destructive.

Tools

Read (read-only+): list_databases, list_tables, describe_table, show_create_table, table_stats, running_queries, server_metrics, cluster_info, query

Write/Admin (read-write+): execute — runs a single statement after classifying it; writes need read-write mode, destructive statements need admin mode + CLICKHOUSE_ALLOW_DELETE.

Quickstart — add to your agent

Published on npm as @dockndevai/mcp-clickhouse. No clone or build needed — your MCP client runs it on demand with npx. Start in read-only mode; see .env.example for every variable and docs/CLIENTS.md for the full per-client guide.

Claude Code (CLI)

claude mcp add clickhouse -e CLICKHOUSE_URL="http://localhost:8123" -e CLICKHOUSE_USER="default" -e CLICKHOUSE_MODE="read-only" -- npx -y @dockndevai/mcp-clickhouse

Claude Desktop · Cursor · Windsurf — same block in claude_desktop_config.json, .cursor/mcp.json, or ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "clickhouse": {
      "command": "npx",
      "args": [
        "-y",
        "@dockndevai/mcp-clickhouse"
      ],
      "env": {
        "CLICKHOUSE_URL": "http://localhost:8123",
        "CLICKHOUSE_USER": "default",
        "CLICKHOUSE_MODE": "read-only"
      }
    }
  }
}

OpenAI Codex CLI — in ~/.codex/config.toml:

[mcp_servers.clickhouse]
command = "npx"
args = ["-y", "@dockndevai/mcp-clickhouse"]
env = { CLICKHOUSE_URL = "http://localhost:8123", CLICKHOUSE_USER = "default", CLICKHOUSE_MODE = "read-only" }

VS Code (GitHub Copilot, Agent mode) — in .vscode/mcp.json:

{
  "servers": {
    "clickhouse": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@dockndevai/mcp-clickhouse"
      ],
      "env": {
        "CLICKHOUSE_URL": "http://localhost:8123",
        "CLICKHOUSE_USER": "default",
        "CLICKHOUSE_MODE": "read-only"
      }
    }
  }
}

Example prompts

  • "What are the biggest tables in the analytics database?"
  • "Show me the schema for events and run a query for daily counts this week."
  • "Which queries are currently running and using the most memory?"

Run from source (development)

Prefer the published package above. To run from a clone:

npm install
npm run build
node dist/index.js   # with the environment variables set

Develop

npm run dev
npm test          # SQL classification + security policy (30 tests)
npm run typecheck

Publishing

This server ships a server.json for the official MCP registry and an mcpName for npm ownership validation. See PUBLISHING.md for publishing to npm and listing on the MCP registry, Smithery, Glama, Cursor, and PulseMCP.

License

MIT

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