ClickHouse MCP Server
ClickHouse database integration with schema inspection and query capabilities
ClickHouse
Tools
list_tables
run_select_query
list_databases
README
ClickHouse MCP Server
An MCP server for ClickHouse.
<a href="https://glama.ai/mcp/servers/yvjy4csvo1"><img width="380" height="200" src="https://glama.ai/mcp/servers/yvjy4csvo1/badge" alt="mcp-clickhouse MCP server" /></a>
Features
Tools
-
run_select_query
- Execute SQL queries on your ClickHouse cluster.
- Input:
sql
(string): The SQL query to execute. - All ClickHouse queries are run with
readonly = 1
to ensure they are safe.
-
list_databases
- List all databases on your ClickHouse cluster.
-
list_tables
- List all tables in a database.
- Input:
database
(string): The name of the database.
Configuration
-
Open the Claude Desktop configuration file located at:
- On macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- On Windows:
%APPDATA%/Claude/claude_desktop_config.json
- On macOS:
-
Add the following:
{
"mcpServers": {
"mcp-clickhouse": {
"command": "uv",
"args": [
"run",
"--with",
"mcp-clickhouse",
"--python",
"3.13",
"mcp-clickhouse"
],
"env": {
"CLICKHOUSE_HOST": "<clickhouse-host>",
"CLICKHOUSE_PORT": "<clickhouse-port>",
"CLICKHOUSE_USER": "<clickhouse-user>",
"CLICKHOUSE_PASSWORD": "<clickhouse-password>",
"CLICKHOUSE_SECURE": "true",
"CLICKHOUSE_VERIFY": "true",
"CLICKHOUSE_CONNECT_TIMEOUT": "30",
"CLICKHOUSE_SEND_RECEIVE_TIMEOUT": "30"
}
}
}
}
Update the environment variables to point to your own ClickHouse service.
Or, if you'd like to try it out with the ClickHouse SQL Playground, you can use the following config:
{
"mcpServers": {
"mcp-clickhouse": {
"command": "uv",
"args": [
"run",
"--with",
"mcp-clickhouse",
"--python",
"3.13",
"mcp-clickhouse"
],
"env": {
"CLICKHOUSE_HOST": "sql-clickhouse.clickhouse.com",
"CLICKHOUSE_PORT": "8443",
"CLICKHOUSE_USER": "demo",
"CLICKHOUSE_PASSWORD": "",
"CLICKHOUSE_SECURE": "true",
"CLICKHOUSE_VERIFY": "true",
"CLICKHOUSE_CONNECT_TIMEOUT": "30",
"CLICKHOUSE_SEND_RECEIVE_TIMEOUT": "30"
}
}
}
}
-
Locate the command entry for
uv
and replace it with the absolute path to theuv
executable. This ensures that the correct version ofuv
is used when starting the server. On a mac, you can find this path usingwhich uv
. -
Restart Claude Desktop to apply the changes.
Development
-
In
test-services
directory rundocker compose up -d
to start the ClickHouse cluster. -
Add the following variables to a
.env
file in the root of the repository.
CLICKHOUSE_HOST=localhost
CLICKHOUSE_PORT=8123
CLICKHOUSE_USER=default
CLICKHOUSE_PASSWORD=clickhouse
-
Run
uv sync
to install the dependencies. To installuv
follow the instructions here. Then dosource .venv/bin/activate
. -
For easy testing, you can run
mcp dev mcp_clickhouse/mcp_server.py
to start the MCP server.
Environment Variables
The following environment variables are used to configure the ClickHouse connection:
Required Variables
CLICKHOUSE_HOST
: The hostname of your ClickHouse serverCLICKHOUSE_USER
: The username for authenticationCLICKHOUSE_PASSWORD
: The password for authentication
Optional Variables
CLICKHOUSE_PORT
: The port number of your ClickHouse server- Default:
8443
if HTTPS is enabled,8123
if disabled - Usually doesn't need to be set unless using a non-standard port
- Default:
CLICKHOUSE_SECURE
: Enable/disable HTTPS connection- Default:
"true"
- Set to
"false"
for non-secure connections
- Default:
CLICKHOUSE_VERIFY
: Enable/disable SSL certificate verification- Default:
"true"
- Set to
"false"
to disable certificate verification (not recommended for production)
- Default:
CLICKHOUSE_CONNECT_TIMEOUT
: Connection timeout in seconds- Default:
"30"
- Increase this value if you experience connection timeouts
- Default:
CLICKHOUSE_SEND_RECEIVE_TIMEOUT
: Send/receive timeout in seconds- Default:
"300"
- Increase this value for long-running queries
- Default:
CLICKHOUSE_DATABASE
: Default database to use- Default: None (uses server default)
- Set this to automatically connect to a specific database
Example Configurations
For local development with Docker:
# Required variables
CLICKHOUSE_HOST=localhost
CLICKHOUSE_USER=default
CLICKHOUSE_PASSWORD=clickhouse
# Optional: Override defaults for local development
CLICKHOUSE_SECURE=false # Uses port 8123 automatically
CLICKHOUSE_VERIFY=false
For ClickHouse Cloud:
# Required variables
CLICKHOUSE_HOST=your-instance.clickhouse.cloud
CLICKHOUSE_USER=default
CLICKHOUSE_PASSWORD=your-password
# Optional: These use secure defaults
# CLICKHOUSE_SECURE=true # Uses port 8443 automatically
# CLICKHOUSE_DATABASE=your_database
For ClickHouse SQL Playground:
CLICKHOUSE_HOST=sql-clickhouse.clickhouse.com
CLICKHOUSE_USER=demo
CLICKHOUSE_PASSWORD=
# Uses secure defaults (HTTPS on port 8443)
You can set these variables in your environment, in a .env
file, or in the Claude Desktop configuration:
{
"mcpServers": {
"mcp-clickhouse": {
"command": "uv",
"args": [
"run",
"--with",
"mcp-clickhouse",
"--python",
"3.13",
"mcp-clickhouse"
],
"env": {
"CLICKHOUSE_HOST": "<clickhouse-host>",
"CLICKHOUSE_USER": "<clickhouse-user>",
"CLICKHOUSE_PASSWORD": "<clickhouse-password>",
"CLICKHOUSE_DATABASE": "<optional-database>"
}
}
}
}
YouTube Overview
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.
MCP Package Docs Server
Facilitates LLMs to efficiently access and fetch structured documentation for packages in Go, Python, and NPM, enhancing software development with multi-language support and performance optimization.
Claude Code MCP
An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.
@kazuph/mcp-taskmanager
Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.
Linear MCP Server
Enables interaction with Linear's API for managing issues, teams, and projects programmatically through the Model Context Protocol.
mermaid-mcp-server
A Model Context Protocol (MCP) server that converts Mermaid diagrams to PNG images.
Jira-Context-MCP
MCP server to provide Jira Tickets information to AI coding agents like Cursor

Linear MCP Server
A Model Context Protocol server that integrates with Linear's issue tracking system, allowing LLMs to create, update, search, and comment on Linear issues through natural language interactions.

Sequential Thinking MCP Server
This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.