"Information about SQL" matching MCP servers:

MCP server for generating and editing architecture diagrams from natural language or code, supporting formats like Terraform, docker-compose, Kubernetes, SQL, Mermaid, and PlantUML.

Extracts deterministic architecture maps from codebases for AI agents, enabling queries about blast radius, routes, security findings, and production readiness without sending code anywhere.

Enables AI assistants to understand and analyze Spring Boot codebases through static analysis, allowing natural language queries about endpoints, classes, dependencies, and architecture without running the application.

MCP server that reads your database schema from SQL DDL, Prisma, Drizzle, TypeORM, or SQLAlchemy, generates a Mermaid ER diagram, and writes it into your documentation, with drift detection to keep diagrams up-to-date.

Enables AI agents to create, validate, and manage buildingSMART IDS (Information Delivery Specification) files with 100% compliance to the IDS 1.0 standard using IfcOpenShell's IfcTester library.

Semantic React/TSX analysis MCP server that saves 70-90% tokens by using AST to retrieve precise component usages, prop flow, and state update information for AI coding assistants.

Enables AI assistants to check server status, inspect Camunda Hub API v2 connection information, and read Hub files by UUID, with planned support for prompt-driven BPMN diagram creation, editing, validation, and visual review.

Turns relational schemas into editable entity-relationship diagrams in draw.io, supporting live databases, SQL DDL, YAML/JSON specs, and existing .drawio files, with tools for managing tables, columns, and relations.

Indexes a workspace into a graph of files, modules, symbols, SQL tables, API contracts, and CI/container files, then answers questions about it. Enables querying dependencies, affected tests, blast radius of a change, node focus, and diffs between refs, all read-only and within a configurable byte budget.

MCP server for BESSER low-code platform enabling AI assistants to create, manipulate, and generate code from domain models through natural language. Supports model creation, deletion, and multi-language code generation (SQL, Python, Java, etc.) via the Model Context Protocol.

Enables AI agents to query a repository's verified semantic model, including capabilities, ownership, contracts, constraints, impact, health, and verification status, without re-deriving project facts. It exposes read-only tools for inspecting, reasoning about, and verifying the provenance-tracked surface.

Lets Claude Code and other agents generate Chen-notation ER diagrams from SQL DDL or SQLAlchemy sources, then read the model, apply edits, re-layout, check for crossings and missing columns, and export PNG/SVG/draw.io. Changes made by the agent refresh any open graphical editor in real time.

Enables a coding agent to inspect Go HTTP endpoints and their MySQL table interactions, view SQL/source evidence, and collaboratively create or update diagram tabs on a shared browser canvas via MCP.

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.

Enables managing Cacoo diagrams, folders, organizations, and account information through MCP tools over HTTP, with OAuth-based authentication, email allowlisting, and support for multiple Cacoo accounts.

Enables source-backed discovery of application purpose, architecture dependencies, field usages, and SQL transformations and value lineage. It provides cited evidence, separates confirmed facts from interpretations, and exposes coverage gaps, with optional offline local-model reasoning.

Retrieves architectural information from ArchiMate models, enabling AI coding assistants to access architectural context during the software development lifecycle. Supports search and retrieval of views and elements in markdown, JSON, or YAML.

Builds a dependency and topology graph of a Kubernetes/FluxCD GitOps repository via static analysis, enabling AI agents to reason about service relationships without cluster access.

Enables AI assistants to programmatically create and manage information flow diagrams — information items and information flows in StarUML.

Enables users to start from a seed host, traverse CDP/LLDP neighbor evidence and device information over SSH, and produce an editable Draw.io topology diagram plus supporting evidence for engineer review. It supports explicit host/CIDR scoping, bounded depth and device counts, strict host-key checks, and a read-only command policy, with an offline simulated demo.

A tool-augmented LLM system for the full PDDL planning pipeline, improving reliability without domain-specific training.

Enables any MCP client to read and edit database schemas (DBML/SQL), Mermaid diagrams, and shared board layouts, along with the organizations, projects, documents, and marketplace listings around them. It runs as a hosted OAuth 2.1 endpoint, so there is nothing to install and access is limited to what the signed-in user can already see.