"Techniques for Analyzing and Interacting with Large MS SQL Databases" matching MCP servers:

Enables LLMs and agents to interact with relational databases (SQL Server, MySQL, PostgreSQL) through MCP tools. Supports executing queries, inserting records, listing tables, and exposing database schemas with secure credential management.

Enables AI models to interact with MS SQL Server databases through a standardized interface. Supports executing SQL queries with parameters, listing tables, and describing table schemas.

Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.

Enables MCP clients such as GitHub Copilot, Codex, Claude... to explore a SQL Server 2017+ database read-only: databases, schemas, tables, views, procedures, functions, indexes and dependency graphs, plus filtered, grouped, sampled and paginated queries capped by row limits.

Enables AI clients to safely query PostgreSQL databases using plain English, with read-only access and built-in SQL safety checks.

Automatically scans SQLite databases and generates typed CRUD tools for each table, allowing natural language database interaction without exposing raw SQL.

A read-only MCP server for SQL Server and PostgreSQL that enables exploring and querying databases (schemas, tables, views, procedures, indexes, foreign keys) and running arbitrary SELECT queries.

Enables connecting to local or remote MS SQL Server instances and provides tools for testing connections, listing databases and tables, describing schemas, and executing T-SQL queries.

An extensible read-only MCP server for SQL databases, enabling schema exploration and safe SELECT queries via tools like list_schemas, list_tables, describe_table, and execute_query.

A Model Context Protocol server for interacting with MSSQL and PostgreSQL databases, offering tools for schema exploration and SQL execution. It features configurable query modes for safety and supports advanced authentication methods like Windows Auth and SSL.

A Model Context Protocol (MCP) server for SQL Server / Azure SQL that enables querying, monitoring, and analyzing databases directly from Claude.

Open source MCP server specializing in easy, fast, and secure tools for Databases.

MCP server that enables natural-language SQL queries across multiple databases (ClickHouse, Teradata, PostgreSQL, MySQL, SQL Server, DB2, Oracle, MongoDB) with dialect-correct SQL generation, PII masking, and security-by-construction controls.

NestJS-based MCP server for MySQL with session-level database selection and SQL safety controls. Enables executing SQL queries, listing databases, and connecting MySQL users with configurable safe modes.

Enables querying SQL Server databases using natural language through Claude.

A bridge that allows AI assistants like Claude to directly query and explore Microsoft SQL Server databases without requiring coding experience.

Enables natural-language querying and analysis of an e-commerce SQLite database via MCP, with read-only SQL execution, table inspection, and AI-generated answers.

A read-only MCP server for browsing and querying SQL Server databases, providing tools to list schemas, tables, describe columns, and execute safe SELECT queries with validated parameters.

Runs SQL statements in memory against real PostgreSQL 18 and SQLite 3.49 engines after loading your schema and sample rows, returning each statement's own verdict: errors with line, column, and hints, constraint violations, or the resulting rows. It also compares both dialects to expose portability differences, all with no database server, network, or API key.

Enables read-only SQL Server queries across multiple environments with secure keychain credential storage, catalog exploration, and built-in safety guards against destructive operations.