"sql server" matching MCP servers:

Enables AI assistants to query databases using natural language, with automatic schema discovery and SQL compilation.

Enables SQL queries against PostgreSQL databases through MCP-compatible clients and includes a natural language agent for forming SQL queries from natural language.

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.

Provides a read-only schema extraction tool that converts database structures from numerous dialects into Toon format, accepting live connections or offline SQL dumps.

Guard AI agents' PostgreSQL/MySQL access via MCP: SQL audit, auth, masking, write approval

Manage app strings, locales, and A/B string variants, then publish Ed25519-signed string bundles for over-the-air text updates in iOS, Android, web, and React Native apps.

Turn PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, SQLite or Snowflake into MCP tools and a REST API, with API keys and per-table role-based access.

7 SQL tools (validate, format, parse, lint, security scan, metadata extraction, full analysis) over Streamable HTTP. Supports 6 SQL dialects with 1.25M+ ops/sec.

Read-only MCP server for SQL Server and PostgreSQL health checks. It runs the codeDB Lens diagnosis (A–F grade with rule coverage, findings with evidence, impact and next actions), reads 24-hour performance recordings, lists databases and tables, describes table schemas, and runs one guarded SELECT at a time within per-profile row and time limits. It uses the user's saved connection profiles; pass

Enables AI assistants to manage and query Tiger Cloud database services, including service lifecycle operations, database connections, and SQL execution.

Open source SQL-native query and provisioning engine for cloud and SaaS infrastructure. Ships as a single signed binary with MCP tools for provider discovery, schema exploration, queries, and lifecycle operations.

Self-hosted OpenTelemetry backend in one Go binary. Its MCP server exposes tools for service health, latency, topology, trace inspection, log search, read-only SQL over traces, logs and metrics, and dashboards.

Enables AI assistants to explore a PostgreSQL database, run bounded read-only SQL, inspect query plans, test hypothetical indexes, find slow queries, and check database health with compact CSV output.

Enables AI agents to read and edit entity-relationship diagrams and SQL database schemas on the liz-whiteboard collaborative whiteboard through natural language, supporting table, column, and relationship management.

Keeps Jira Cloud, Jira Server, Linear or its own built-in tracker (plus Confluence pages) in one local SQLite file. Its MCP tools answer from that file: read-only SQL, full-text search across issues, comments and wiki pages, issue detail, sprint and retro reads.

Enables coding agents to query a local OTLP trace collector: list recent traces, inspect span trees and critical paths, flag SQL N+1 loops, surface gen_ai metrics, and diagnose slow traces with a local OpenAI-compatible model.