Database Connector
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Connects large language models to various databases using natural language.
About
Database Connector is a Model Context Protocol (MCP) server that enables Large Language Models (LLMs) to interact with databases using natural language. Currently supporting MongoDB, it offers database operations like querying, inserting, deleting, and aggregation through natural language commands. Future plans include support for PostgreSQL, CockroachDB, and Redis, expanding its capabilities to cover SQL queries, key-value operations, and more.
Key Features
- Database operations through natural language
- Future support planned for PostgreSQL, CockroachDB, and Redis
- Supports MongoDB with querying, insertion, deletion and aggregation functionalities
- Uses Claude Desktop Application for configuration
- Supports listing all collections in connected database
- 0 GitHub stars
Use Cases
- Query MongoDB databases using natural language commands within LLMs
- Integrate database operations into LLM-powered applications
- Manage database content through conversational interfaces
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