This MCP provides a secure, read-only interface for ClickHouse databases, supporting HTTP and native connections. It validates queries to allow only SELECT, SHOW, DESCRIBE, and EXPLAIN commands, preventing data modification. It ensures high-performance, fault-tolerant query execution and offers integration options via Python API or as a standalone service. Designed for AI applications requiring safe data access, it simplifies database interactions with a clean output format.
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Apr 28 2025
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What is ClickHouse Readonly MCP?
The ClickHouse Readonly MCP is a dedicated server designed to facilitate safe, read-only access to ClickHouse databases for AI and data analytics applications. It supports multiple connection protocols including HTTP and native ClickHouse, providing automatic failover to ensure reliable operations. The system enforces strict query validation to permit only non-modifying commands such as SELECT, SHOW, DESCRIBE, and EXPLAIN, safeguarding against accidental or malicious data modifications. It offers high-performance execution with efficient result processing and easy integration via Python APIs or as a standalone server. This MCP is ideal for environments where data security, integrity, and high availability are critical, enabling developers and data scientists to perform analysis and generate insights without risking unauthorized data changes.
Who will use ClickHouse Readonly MCP?
- AI Developers
- Data Scientists
- Database Administrators
- Data Analysts
How to use the ClickHouse Readonly MCP?
- Step 1: Install the MCP via pip or source code.
- Step 2: Configure the settings in config.json with database credentials.
- Step 3: Start the MCP server using the specified command.
- Step 4: Connect to the server using supported protocols (HTTP or native).
- Step 5: Send read-only SQL queries through the API or interface, ensuring only permitted commands are used.
ClickHouse Readonly MCP's Core Features & Benefits
The Core Features
- Supports read-only SQL queries (SELECT, SHOW, DESCRIBE, EXPLAIN)
- Input validation to prevent data modification
- HTTP and native connection support
- Automatic failover between connection modes
- High-performance query execution
- Parameterization of queries
- Simplified, tabular output format
- Integration with Python API
The Benefits
- Ensures data safety and integrity
- Prevents accidental/modification of data
- Reliable and fault-tolerant connections
- Easy integration into existing workflows
- High-performance and scalable query handling
ClickHouse Readonly MCP's Main Use Cases & Applications
- Securely providing read-only access for AI model training
- Safe analytics and reporting on sensitive data
- Automated data analysis pipelines
- Multi-user environments with restricted permissions
- Integration with Python-based AI tools for data retrieval
FAQs of ClickHouse Readonly MCP
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