Datomic

Apache Doris

Execute SQL queries and retrieve metadata directly from Apache Doris databases without the need to switch contexts, simplifying the workflow and enhancing efficiency.

Trino

Unlock the ability to run SQL queries on Trino databases effortlessly, offering data investigation, schema extraction, and analytics tools without the need for manual query creation.

DuckDB

Interact with DuckDB databases by running SQL queries and conducting thorough data analysis tasks.

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.

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.

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.

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.

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.

Cube

Easily connect with Cube.dev's REST API to streamline data querying and analysis from Cube deployments, making it effortless to explore intricate data sets for automated reporting and intuitive interpretation of key performance indicators.

Datadog

Facilitating connectivity to the Datadog API, the Model Context Protocol (MCP) allows seamless access to metrics and logs essential for monitoring and observability tasks. Developed with TypeScript and leveraging the Bun runtime, this protocol enhances data retrieval efficiency and workflow management.

DevDB

Gain access to database tables and schemas effortlessly through HTTP endpoints, enabling secure database structure querying without the need for direct database entry.

MongoDB

Unlock the capability to interact with MongoDB databases through a read-only approach using the Model Context Protocol (MCP). This protocol facilitates diverse operations such as exploration, schema deduction, aggregation, text exploration, and geospatial evaluation.

GraphDB

Discover and interact with RDF graphs stored in Ontotext GraphDB repositories using the Model Context Protocol (MCP). Gain valuable insights through SPARQL queries and organized displays showcasing class lists, predicates, statistics, and example datasets.

DolphinDB

Facilitates seamless connection between DolphinDB time-series database and intuitive language interface, allowing effortless data retrieval and management for professionals in finance and data analysis.