"Information about Microsoft SQL Server" matching MCP servers:

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

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

MCP server exposing 3100+ cloud technology icons (AWS, Azure, GCP, Microsoft, CNCF, Devicon) with 3-tier search and multiple output formats for integration into presentations and architecture diagrams.

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.

An MCP server that drives the Microsoft Visio window you already have open.

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.

Drives Microsoft Visio desktop via COM automation to create, style, and layout diagrams such as flowcharts and cloud architecture, then exports PNGs for visual feedback and iteration.

Plan your projects with The High Council! Several AI models from different labs argue about your idea, then debate on Software Engineering choices. The goal is to get everyone to work together, in harmony and with manners. Effectiveness is unproven, but it is a fun way to spend your tokens!

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.

Enables to create and edit Microsoft Visio diagrams programmatically via a standardized API.

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.

The Fabric-Analytics-MCP server enables AI agents to interact directly with Microsoft Fabric using natural language. It transforms complex data engineering tasks—such as workspace management, data exploration, and job execution—into intuitive, conversational workflows for LLMs like Claude or GitHub

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.

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.

A Windows MCP server for creating fully editable Microsoft Visio diagrams with compact SCI/IEEE styling, native arrowheads, obstacle-aware routing, and a pre-export geometry audit.

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.