Database

SQL Server database access with parameterized queries and execution plan analysis.

by Aaronontheweb

Integrates with Microsoft SQL Server Express to enable database interactions, supporting query execution, table creation, and schema description with configurable authentication and access restrictions.

A comprehensive Model Context Protocol (MCP) server for interacting with SQL Server databases

SQL Server MCP with RAG capabilities for Windows (native ODBC support)

by TharanaBope

Explore Microsoft SQL Server metadata with static procedure analysis, dependency tracking, and business rule extraction.

Enables natural language querying of Microsoft SQL Server databases by translating conversational input into SQL and interpreting results for database administrators and analysts

Executes queries and manages Microsoft SQL Server databases.

SQL Server performance monitoring with DuckDB storage and natural language queries for CPU, wait stats, blocking, query performance, memory, and I/O.

Connects to Microsoft SQL Server databases through pyodbc to execute queries, inspect schemas, manage stored procedures, views, and indexes with separate handling for read and write operations.

Provides SQL Server database schema exploration tools for retrieving tables, columns, and relationships through connection strings configured in appsettings.json

Integrates with SQL Stream Builder and Cloudera Data Platform to enable real-time stream processing management, SQL query execution, job lifecycle control, table and connector management, and comprehensive monitoring for streaming data pipelines.

Enables secure access to MySQL databases through SSH tunnels with configurable authentication via username/password or SSH keys

Enables secure remote server management by executing SSH commands using stored credentials in a SQLite database, providing tools for command execution and credential management without leaving the conversation interface.

Enables secure SSH command execution, file transfers, and automated deployments across multiple remote servers with connection pooling, profile-based configuration for different project types, and deployment strategies with backup creation and permission detection.

by bvisible

Enables AI models to interact with StarRocks databases by providing read and write access to tables, schemas, and data through a Python-based server with configurable modes.

Orchestrates AWS deployment workflows via the Staticbot API for static site hosting, Supabase migrations, and multi-stage infrastructure management.

Provides direct access to Statistics Norway's (SSB) public statistical database for browsing, searching, and querying over 6,000 tables covering population, employment, prices, trade, and more.

Integrates with statistical and machine learning tools to perform data analysis, calculations, and time-series forecasting on user data from various sources including CSV files and databases.

by Statsource Team

A Python MCP server interacting with PostgreSQL, intended for use with Steampipe.

Syncs Strava activities to a local SQLite database and exposes tools for querying training data, summaries, and live lookups.

Integrates with STRING protein interaction database to enable protein network analysis, functional enrichment, GO/KEGG pathway analysis, cross-species homolog identification, and detailed annotation retrieval across over 5000 organisms for systems biology research.

ATTENTION: This repository is a clone of https://gitlab.structr.com/structr/structr. All development/issue tracking has moved there. | Structr is an integrated open-source low-code development and runtime environment that uses a graph database (Neo4j).

by structr

An AI powered platform for empowering teachers in a multigrade classrooms

by Adhish-Krishna

Integrates with Supabase's PostgreSQL database service to enable persistent data storage, user management, and structured data retrieval operations.

Manage Supabase projects end to end across database, auth, storage, realtime, and migrations. Monitor performance with real-time metrics and logs, and strengthen security with audits and RLS policy helpers. Automate backups, schema sync, CRUD generation, and safe SQL execution from one place.