mcp-clickhouse
Enables MCP clients to explore ClickHouse schemas, run analytical queries, and manage the database with statement-aware security modes and access-control flags.
README
mcp-clickhouse
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
querytool that only accepts read statements, capped atCLICKHOUSE_MAX_ROWS. - Management — an
executetool for INSERT/CREATE/ALTER (read-write) and DROP/TRUNCATE/DELETE (admin), each gated by classification. - Access modes —
read-only→read-write→admin, 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
| Concern | Flag | Default | Effect |
|---|---|---|---|
| What can the server do? | CLICKHOUSE_MODE |
read-only |
read-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_DATABASES |
system,information_schema |
Readable, never mutable. |
| Can it run destructive SQL? | CLICKHOUSE_ALLOW_DELETE |
false |
DROP/TRUNCATE/DELETE/… need this and admin mode. |
| Result size cap | CLICKHOUSE_MAX_ROWS |
1000 |
Hard cap on rows returned to the model. |
| Preview without executing | CLICKHOUSE_DRY_RUN |
false |
Write/destructive statements validate + log intent, then return. |
| Audit trail | CLICKHOUSE_AUDIT_LOG |
true |
Emits 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
analyticsdatabase?" - "Show me the schema for
eventsand 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
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.