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ClickHouse
Integrates with ClickHouse databases to enable data analysis, querying, and exploration for large-scale analytical workloads.
Last updated: 1/27/2026
README
# ClickHouse MCP Server This project implements a Model Context Protocol (MCP) server for ClickHouse, allowing seamless integration of ClickHouse databases with Large Language Models (LLMs) and other AI applications. ## Features - List ClickHouse databases and tables as resources - Retrieve table schemas - Execute SELECT queries on ClickHouse databases - Secure and efficient communication using the MCP protocol ## Requirements - Python 3.10+ - ClickHouse server ## Installation 1. Clone the repository: ``` git clone https://github.com/ThomAub/clickhouse_mcp_server.git cd clickhouse_mcp_server ``` 2. Install the required packages: ``` uv sync --all-extras ``` 3. Set up your ClickHouse connection details in environment variables or update the `get_clickhouse_client` function in `server.py`. ## Usage Run the server: ``` python clickhouse_mcp_server/server.py ``` The server will start and listen for MCP requests. ## Testing Run the tests using pytest: ``` pytest tests/ ``` ## Contributing Contributions are welcome! Please feel free to submit a Pull Request. ## License This project is licensed under the MIT License.
Installation
Add this MCP to your configuration:
{
"mcpServers": {
"clickhouse-2": {
// See GitHub repository for configuration
}
}
}See the GitHub repository for full installation instructions.