Database Management MCP Servers

Lipsky Memory

Manages project memory and context using a Model Context Protocol server.

Postgres

Provides read-only access to PostgreSQL databases for LLMs, enabling schema inspection and query execution.

Materialize

Automatically creates MCP resources based on database schema and configuration.

Sqlite Server

Enables MCP clients to interact with SQLite databases via a standardized JSON-RPC protocol.

Proyecto TFG

Interconnects Large Language Models (LLMs) with data spaces using the Model Context Protocol (MCP).

Database Updater

Facilitates updating databases from CSV and Excel files via a Model Context Protocol server.

Elasticsearch

Integrates with Elasticsearch to manage Message Conversion Protocol (MCP) data through a RESTful API.

Hello

Enables querying and adding of student information.

Macrostrat

Accesses geologic data with the Macrostrat API for use with Claude.

Faruk Networks

Enables MSSQL database interaction within MCP-compatible editors.

Claude Casefile SQLite

Manages legal case files and billing data within a law office workflow using SQLite.

Supabase

Enables Cursor and Windsurf IDEs to interact with Supabase PostgreSQL databases using the MCP protocol.

DynamicEndpoints

Enables advanced database operations, schema management, and data manipulation for PocketBase through the Model Context Protocol (MCP).

Mongo

Enables Large Language Models (LLMs) to interact with MongoDB databases using natural language.

SQL

Enables language models and MCP-compatible clients to query PostgreSQL databases, including secure access via SSH bastion tunnels.

Mysql

Serves as a MySQL database management tool.

Mongo

Facilitates connecting to MongoDB, querying data, and inserting documents.

Mcp Servers

Provides a collection of Model-Context-Protocol (MCP) servers for the Cursor IDE, enabling integration with external tools.

StarRocks

Provides a standardized Model Control Protocol (MCP) interface for AI models to interact with StarRocks databases.

Qdrant

Manages vectors, performs similarity searches, and provides automatic text-to-vector embedding for the Qdrant vector database.