JDBC Database Connector

DB Connector (MySQL/PostgreSQL)

Experience seamless connectivity to MySQL and PostgreSQL databases using a cutting-edge Go-based protocol. This innovative protocol offers versatile options for data interaction, including local stdio and production SSE transport modes. Enhance your ability to query, analyze, and manage structured data efficiently.

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.

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.

ODBC Database Connector

Unlock secure, restricted entry to all ODBC-compatible databases via features for viewing connections, assessing connectivity, fetching schemas, and running SQL queries to analyze data and support business decision-making.

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.

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.

SQL Database Bridge

Achieve seamless connectivity to SQL databases such as MSSQL, MySQL, and PostgreSQL to conduct query operations, schema exploration, performance tracking, and report generation. Benefit from advanced functionalities including connection pooling and transaction control for enhanced database operations.

Apache Jena SPARQL

Facilitates seamless interaction between artificial intelligence agents and Apache Jena, enabling the execution of SPARQL queries, handling updates, and retrieving RDF data from Jena Fuseki servers using robust API key security measures.

SQL Server

Connect seamlessly to Microsoft SQL Server databases to carry out queries, navigate schemas, and oversee data management using conversational commands, backed by robust Windows authentication security measures.

SPARQL

Enhance your RDF data exploration with seamless integration to SPARQL servers through the Model Context Protocol (MCP). Unlock a world of possibilities for querying, manipulating, and analyzing linked data, empowering your semantic web endeavors and knowledge graph investigations.

Database Connector

Experience seamless connectivity across various database platforms such as SQLite, PostgreSQL, MySQL/MariaDB, and SQL Server with the Model Context Protocol (MCP). Effortlessly manage connections, execute queries, manipulate schemas, and support transactions using a standardized interface. Ideal for streamlining database operations across different systems.

SQLAlchemy ODBC Bridge

Facilitates seamless connectivity between databases and SQL/SPARQL queries via ODBC links, allowing for schema discovery, table administration, and execution of queries with well-organized outcomes.

Dgraph

Facilitates seamless integration between language models and Dgraph graph databases, allowing for DQL queries, mutations, and schema control within a unified environment, eliminating the need for shifting contexts during database operations.

ODBC Database Connector

Facilitate the integration of artificial intelligence (AI) with relational databases using ODBC connection. Empower users to conduct data exploration, analysis, and knowledge graph tasks using SQL, SPARQL, and hybrid SpaSQL queries.