"sql server" matching MCP servers:

Provides AI coding assistant rules and guidelines for Bürokratt modules, including expertise in DSL-based backend (Ruuter YAML, SQL), frontend development, browser debugging, fork synchronization, and service testing capabilities.

Provides AI models with access to jOOQ documentation, enabling querying of features, SQL examples, code generation, database support, and advanced topics.

Enables querying and modifying Markdown documentation as a relational database using SQL, with automatic write-back of changes to the original .md files.

Consolidates Salesforce, CMA Gateway, Optix SQL clusters, Confluence/G3 knowledge base, Datadog observability, and UPS/FDS platform into a single SSE/JSON-RPC daemon exposing 168 canonical tools and 15 resources. Enables AI agents and IDEs to search and manage cases, chains, databases, documentation, telemetry, and platform configurations through natural language.

Gives AI coding agents dereferenced OpenAPI facts about the backend being implemented, and verifies that implementation against a local server via ping probes, single requests, contract tests, and ordered multi-step scenarios with extraction and assertions. It also spins up loopback mocks for missing dependencies and derives a relational data model from the spec, reconciling it with optional live database evidence and emitting additive SQL that is never executed.