MongoDB Database

MongoDB

Facilitates seamless connection between MongoDB databases and chatbot platforms, allowing for extensive database functions, collection administration, schema examination, and integration with Atlas cloud services including security features and performance monitoring.

Neo4j

Unlock the potential of Neo4j graph databases with this innovative Model Context Protocol (MCP). Seamlessly interact with and leverage the power of Cypher queries, manage knowledge graph data, and craft durable memory structures using intuitive conversational interfaces.

MongoDB

Easily interact with MongoDB databases using everyday language for seamless querying and analysis.

MongoDB

Explore and assess data stored in MongoDB databases.

Elasticsearch

Facilitates seamless communication with Elasticsearch clusters, allowing users to view index listings, analyze field mappings, and run Query DSL searches with built-in text highlighting functionality.

Legion Database

Facilitates the seamless interaction and administration of diverse database platforms including PostgreSQL, MySQL, SQL Server, and BigQuery to support tasks such as data analytics, business insights, and database investigation.

ArangoDB

Enhance your data management capabilities with seamless integration with ArangoDB through the Model Context Protocol (MCP). This protocol facilitates document querying, insertion, updating, and deletion by leveraging parameterized AQL queries. Streamline your data analysis process with this flexible and efficient solution.

MongoDB Atlas

Enhance your database management with seamless integration to MongoDB Atlas. Streamline the creation and administration of database components such as clusters, user management, and access control using the powerful combination of TypeScript and the MongoDB Atlas API. Optimize your database operations effortlessly.

MongoDB

Access MongoDB databases seamlessly through a versatile Model Context Protocol (MCP). This protocol facilitates the execution of document queries, enables database connections, and offers customizable options for targeting specific collections and setting result boundaries.

MongoDB

Unlock the potential of data exploration and analysis workflows by seamlessly connecting with MongoDB. Access read-only querying, aggregation functions, and schema inspection capabilities through the Model Context Protocol (MCP).

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.

MySQL Query

Enable safe access to MySQL databases via a secure read-only bridge, facilitating intuitive querying using natural language in various settings. Benefit from robust validation and thorough error management for seamless operation.

Elasticsearch

Facilitates seamless communication with Elasticsearch databases, allowing for intuitive search operations and index administration with no need for intricate query language or deep API understanding.

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.

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.