"Information about Google Workspace" matching MCP servers:

Provides ROS2 workspace graph knowledge including package dependencies, message/service/action definitions, and topic pub/sub relationships through MCP tools.

Lets AI agents draw professional cloud architecture diagrams with the official AWS, Azure and Google Cloud icons, from a plain description, a JSON graph or Terraform code.

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

diagramzu-mcp lets an AI client (Claude, Cursor, ChatGPT, etc.) author Mermaid diagrams in a shared workspace that a team can read, comment on, embed, and present at a clean URL — rather than just generating a one-off diagram. Hosted endpoint https://mcp.diagramzu.ai/mcp or local npx -y @diagramzu/mcp. Also listed in the official MCP registry as ai.diagramzu/mcp.

Exposes the Polaris architectural fitness-function control plane's REST API as grouped MCP tools over stdio, letting agents manage tribes, squads, fitness targets and functions, measurement sources, submissions, evaluations, waivers, insights, and events. Handles Google OIDC login and silent token refresh automatically, and submits measurements with an ingest API key.

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.

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 agents to edit diagram/graph structures on a live draw.io canvas and manage local versions via snapshots, restore, and export without embedding a separate LLM or polluting the workspace.

Lets AI tools create and edit Excalidraw diagrams in a CanvasKeep workspace: generate diagrams from nodes and edges with auto-layout, organize them into workspaces and folders, and read or save full scenes.

Generates, reviews, and imports cloud architecture diagrams for AWS, Azure, and Google Cloud from editable specs, Terraform, or live Google Cloud inventory, rendering them as PNG, SVG, PDF, or JPG.

Enables users to control FreeCAD through natural language for creating, editing, and managing 3D objects and documents. It supports executing Python code, capturing screenshots of the workspace, and importing parts from the FreeCAD library.

A stdio MCP server that exposes the skill's workspace operations as tools, letting agents start investigations, record hashed evidence and checklist answers, validate reports, and publish immutable architecture snapshots. It organizes and checks an agent's investigation of source projects or finished apps.

An MCP-native workspace where AI pushes discoveries into a live GPU-rendered graph, preserving project structure and findings across sessions.

Enables AI assistants to inspect Ignition gateway backups, project exports and tag exports locally and turn them into an editable engineering reference and manual pack workspace. Runs over stdio so agents can explain, validate and complete the evidence-traced documents without uploading anything.

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

Hosted MCP server that lets AI assistants create and edit diagrams (UML, flowcharts, wireframes, domain models) in a Umlout workspace via natural language.

Enables MCP-compatible AI agents to read and store architecture decisions, constraints, and research from a private Solveaux workspace, keeping generated code aligned with team-approved technical direction.

An agnostic MCP server that reads arc.yaml from the workspace, exposing tools to map layers, trace slices, generate scaffolding, and validate architectural rules.

Provides agents with read-only access to local code architecture graphs (structure from tree-sitter, semantic summaries from LLMs), including per-workspace graph/config/status/rebuild tools, while enforcing that topology comes only from static analysis.

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.

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

An automated MCP server for Google Stitch that enables AI-driven UI design generation, accessibility audits, and design system management. It streamlines workflows for creating responsive screens, extracting design tokens, and maintaining visual consistency across professional web projects.

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.

Decision memory for Cursor and Claude Desktop via local stdio MCP. Install: npx -y @neitherai/mcp-server@latest. Get a workspace API key: https://www.neither.online/start/?product=dev&utm_source=glama

Enables AI agents to create and edit Whimsical diagrams and documents, including flowcharts, mind maps, sequence diagrams, and wireframes, and to search and read workspace content.

Enables AI assistants to create, validate, render, export, save, and incrementally edit D2 diagrams using complete source or the Oracle API, with bundled layouts, themes, and workspace-secured assets.