Data Explorer

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.

Data Exploration

Leverage the capabilities of pandas and matplotlib to analyze and present CSV data sets in a visually engaging manner.

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.

Dataset Viewer

Discover, analyze, and access datasets on the Hugging Face Hub effortlessly through seamless integration with the Hugging Face Dataset Viewer API.

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.

Excel Data Manager

Unlock the power of Excel for managing data with advanced features such as statistical analysis, data filtering, pivot table generation, and dynamic charting and graphing options.

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.

GraphQL Explorer

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

Pandas Data Analysis

Utilizing pandas, numpy, and matplotlib to enhance data handling, statistical exploration, and visual representation in data-centric initiatives.

Lightdash

Empower your data analysis with seamless integration with Lightdash, facilitating automated reporting, data exploration, and informed decision-making through advanced analytics.

SQLite Explorer

Explore databases seamlessly by leveraging the power of SQLite integration within the Model Context Protocol. Unlock AI-driven schema analysis, data querying, statistical evaluation, and quick prototyping capabilities for streamlined data handling and accelerated development processes.

Database Explorer

Discover an integrated platform simplifying navigation and administration of PostgreSQL, MySQL, and Firestore databases via tailored functionalities. Access tools for table overviews, trigger insights, SQL query execution, and schema/data exportation.

Redash

Unlock the potential of your data with seamless integration with the Redash data visualization tool. Our Model Context Protocol (MCP) empowers users to effortlessly query data, craft dynamic dashboards, and oversee data sources, all within intuitive conversational interfaces.

Azure Data Explorer

Unlock the power of Azure Data Explorer with seamless integration. Conduct KQL queries, explore database assets, delve into table structures, and extract data for in-depth analysis and actionable insights.