Apache Doris

JDBC Database Explorer

Unlock the ability to engage with databases through JDBC connections, facilitating queries, alterations, and exploration across diverse database formats without the need for direct infrastructure entry.

Datomic

Explore Datomic databases effortlessly with this JSON-RPC interface. Conduct schema discovery, execute Datalog queries, and access raw indexes seamlessly for in-depth data analysis, all within the same context.

MySQL Database

Access MySQL databases and execute SQL queries effortlessly using a user-friendly interface that delivers query results in JSON format.

Databricks

Discover deeper insights and analyze data effortlessly by leveraging the Statement Execution API within an integrated environment like Databricks. Seamlessly execute SQL queries, explore schema listings, and delve into table structures for enhanced data exploration and analysis capabilities.

Apache IoTDB

Easily interact with Apache IoTDB time-series databases by utilizing a secure interface based on Python. Perform queries, view tables, and explore schemas effortlessly.

Alibaba Cloud DMS

Unlock seamless access to unified metadata and enable cross-platform data querying across a variety of database environments by leveraging the Model Context Protocol (MCP) in conjunction with Alibaba Cloud's Data Management Service (DMS) API.

OracleDB

Enhances connectivity to Oracle Database, facilitating automatic identification of tables and columns, executing queries securely, and accessing metadata using conversational language, benefitting data analysts and developers.

Redis

Enhances Redis database functionality by facilitating rapid key-value operations in memory, supporting caching, session handling, and live data manipulation.

DuckDB

Leverage the capability of AI systems to retrieve and scrutinize information using DuckDB, a specialized in-memory database designed for handling complex analytical tasks efficiently. This database is tailored for OLAP operations, offering seamless compatibility with various file formats such as CSV, Parquet, and JSON, and facilitating access to external data repositories like S3.

Apache Iceberg

Explore Apache Iceberg tables on AWS effortlessly with the Model Context Protocol (MCP). Gain direct insights into catalogs, schemas, properties, and partition details without the need for intricate queries or coding.

Redis

Unlock the potential of Redis databases through seamless integration, accelerating data processing for AI tasks with in-memory capabilities.

YDB

Facilitates seamless communication between artificial intelligence systems and YDB databases, allowing for intuitive conversational interactions to run SQL queries, navigate schema details, and check connectivity status.

Databricks

Facilitates seamless connectivity between AI applications and Databricks environments, allowing streamlined access to data repositories, schema structures, tables, and SQL databases to support efficient querying and data analysis within Databricks datasets.

Apache Doris

Connect seamlessly to the Apache Doris analytics platform via the MySQL protocol, unlocking robust capabilities for querying data and engaging in business intelligence and data analysis tasks.

Apache Pinot

Unlock the power of real-time analytics with seamless integration to Apache Pinot. Conduct SQL queries, analyze table schemas, inspect segments, and access cluster metadata for enhanced operational oversight and business intelligence insights.