"Connecting to PostgreSQL database, retrieving table schema, and executing SQL queries" matching MCP servers:

Gives AI coding tools reviewed access to PostgreSQL, MySQL, SQL Server, and SQLite databases, letting read-only queries run instantly while every data or schema change pauses for human approval in a review dialog. It also exposes schema introspection for agents and a way to open the connection manager.

Audits PostgreSQL/Supabase schemas for security issues like missing RLS, permissive policies, and sensitive data exposure during AI conversations.

Read-only security audit for Supabase. Surfaces RLS gaps, permissive policies, exposed functions and grants, and returns scored findings with fix SQL that is never executed.

A governed SQL gateway for untrusted AI agents, providing controlled access to PostgreSQL, MySQL, and OceanBase with RBAC, field ACLs, row policies, and cost controls.

Enables assistants to inspect schemas and run bounded, read-only SQL queries over synthetic retail data with database-enforced guardrails, resource limits, and blocked write attempts.

Enables AI clients to safely query PostgreSQL or SQLite databases read-only through AST-validated guardrails, schema introspection, and statistical table profiling. It returns results as Markdown tables, JSON audit reports, and database health checks.

Enables LLM agents to access Global Database's company intelligence, including company profiles, financials, ownership, people search, prospecting, and KYB/compliance lookups against official registries.

An MCP server that lets Claude query a mock business SQL database in plain language through read-only tools, with server-side guardrails that enforce SELECT-only queries and block access to sensitive payment data.

A small MCP server that lets an LLM query PostgreSQL, MySQL, MariaDB, SQL Server, or SQLite databases safely — read-only, role-restricted, and with sensitive data blacked out.

Enables secure database operations on SQL Server instances through a three-tier safety system, supporting schema exploration, query execution, performance analysis, and data export with configurable security levels from read-only to full development access.

Enables AI agents to query Postgres databases read-only over the Model Context Protocol through three narrow tools, validating every statement as a single SELECT with an enforced row limit before it reaches the database. Guards against destructive statements, banned functions, system catalogs, and runaway queries via AST parsing plus a SELECT-only Postgres role.

Enables LLM clients to safely inspect database schemas and run only approved read-only queries and stored procedures, with auditing.

Enables AI assistants to explore and analyse local CSV, Parquet or JSON files through validated read-only SELECT queries, with schema discovery, profiling and query-plan tools. Results are capped, timed, PII-masked and audit-logged inside a locked DuckDB sandbox that cannot write, reach the network or read other files.

Enables LLMs to propose UPDATE/DELETE SQL that is run in a transaction, measured, and rolled back, requiring human approval before applying to prevent unauthorized changes.

Validates SQL queries via AST parsing, ensuring they are single read-only SELECTs on allowed tables with enforced LIMITs, and masks PII columns based on user roles. Provides a tamper-evident audit log and runs fully offline.

C# SQL Agent MCP server featuring raw SQL input, strict AST validation, and an embedded Admin UI. Eliminates LLM hallucinations and security risks across 6 major databases.

Enables AI agents to safely query and explore SQLite databases through read-only, guard-protected tools that block writes, sensitive table access, and runaway queries.

Enables chatting with PostgreSQL databases through secure GitHub OAuth authentication, supporting read operations for all users and write operations for privileged users. Deployable as a production-ready remote MCP server on Cloudflare Workers with automatic schema discovery and SQL injection protection.

Enables read-only querying and diagnostics for dual SQL Server 2019 instances with rate limiting and security controls, accessible via MCP tools over HTTP.

Enables AI agents to safely query SQL databases through read-only tools for describing entities, reading records, and aggregating records, with view-based access and fail-closed per-user row-level security.