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by jovezhong • Data & Databases
An MCP server that enables agents to interact with Timeplus: run SQL, list databases/tables, explore Kafka topics, create streaming ETL, and connect to Iceberg.
Run SQL queries against a Timeplus cluster (readonly by default) and retrieve results for analysis or downstream actions.
Inspect schema and metadata by listing databases and tables to plan queries or generate data-aware responses.
Explore Kafka topics, preview messages, set up streaming ETL into Timeplus, or connect to Apache Iceberg-backed databases for larger data workflows.
This MCP server exposes tools and prompts for interacting with Timeplus clusters and related systems. It supports executing SQL (readonly by default), listing databases and tables, exploring Kafka topics and creating streaming ETL into Timeplus, and connecting to Apache Iceberg databases. Configuration is via environment variables and it includes development instructions for running against a local Timeplus Proton instance. It is useful for embedding Timeplus data access into agent workflows.
List available ClickHouse databases
List available ClickHouse tables in a database, including schema, comment, row count, and column count. Args: database: The database to list tables from like: Optional LIKE pattern to filter table names not_like: Optional NOT LIKE pattern to exclude table names page_token: Token for pagination, obtained from a previous call page_size: Number of tables to return per page (default: 50) include_detailed_columns: Whether to include detailed column metadata (default: True). When False, the columns array will be empty but create_table_query still contains all column information. This reduces payload size for large schemas. Returns: A dictionary containing: - tables: List of table information (as dictionaries) - next_page_token: Token for the next page, or None if no more pages - total_tables: Total number of tables matching the filters
Run a SELECT query in a ClickHouse database
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