Azure Data Explorer (Kusto)

Power BI

Unlock the potential of seamless integration with Power BI datasets via XMLA endpoints, allowing effortless execution of data analysis using intuitive language processing. Translate inquiries into actionable DAX queries and decipher outcomes to enhance business intelligence operations.

Metabase

Enhance your data analytics capabilities by seamlessly connecting to Metabase through the Model Context Protocol (MCP). Access dashboards, run SQL queries, and extract organized data for in-depth analysis and valuable insights.

Microsoft Fabric

Discover and catalog data resources like workspaces, repositories, tables, and semantic structures by leveraging Microsoft Fabric APIs. This integration supports Azure authentication and facilitates content organization through markdown styling.

AWS Athena

Enhance your data analysis capabilities within AWS data lakes by seamlessly running SQL queries on Athena databases through the integration with AWS SDK. Unlock vast insights for optimized business intelligence with this Model Context Protocol (MCP).

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.

AWS Cost Explorer and Bedrock Usage Analytics

Discover insights into cloud expenses and Bedrock model utilization through seamless integration with AWS Cost Explorer and CloudWatch. Gain in-depth visibility into spending trends and optimize costs effectively.

MySQL Schema Explorer

Empower artificial intelligence to navigate and engage with MySQL database structures for documenting, constructing queries, and analyzing schemas without the need for direct database 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.

Metabase

Enhance your business intelligence experience by seamlessly integrating with Metabase analytics platforms. Unlock the power of conversational access to insightful data through a variety of features including dashboard browsing, executing predefined queries, and performing customized SQL searches.

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.

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.

BigQuery

Unlock the capability to seamlessly connect with BigQuery, facilitating the extraction of table structures from designated datasets for in-depth data scrutiny and report generation.

CData Connect Cloud

Easily execute SQL queries across various data sources for smooth data integration into analytics and workflows by leveraging connectivity with CData Connect Cloud.

GraphQL Explorer

Enhances connectivity with GraphQL interfaces for secure data access, query processing, and schema investigation in support of artificial intelligence (AI) solutions.

Azure Cosmos DB

Facilitates seamless integration between Azure Cosmos DB and conversational interfaces, streamlining database tasks such as adding, accessing, modifying, and searching data entries without the need for intricate queries or context shifts.