"Enterprise-level Confluence search page supporting version 9.4.11" matching MCP servers:

A read-only MCP server that gives AI agents access to Sparx Enterprise Architect models, enabling search, navigation, and reading of elements, packages, scenarios, and connectors from .qea exports without a running EA instance.

Serves reusable SDLC agent roles and review checklists over MCP, enabling AI coding agents to execute structured product analysis, solution architecture, code review, and release management tasks in GitHub-first projects.

Provides comprehensive design principles and best practices to help LLMs generate modern, accessible web pages through guidance on layouts, colors, and typography. It enables users to review design approaches and access expert recommendations for responsive design, component structure, and current industry trends.

Enables creating and managing UML diagrams in Sparx Systems Enterprise Architect via COM interface, supporting sequence, class, use case, and activity diagrams.

Enables querying and modifying ArchiMate enterprise architecture models from XML or Archi Tool files via REST API and MCP server, supporting multiple simultaneous data sources.

Connects Claude to Microsoft Visio to generate enterprise architecture diagrams from natural language or structured inventory data, supporting multiple diagram types and export formats.

Enables LLMs to search and retrieve official Cisco network diagram icons as RGB PNG images, with metadata and category listing tools for building topology diagrams.

Model Context Protocol (MCP) server for @imqueue — lets AI coding agents (Claude Code, Cursor and others) search the docs, scaffold typed services & clients and use @imqueue/cli live.

Lets Claude Code, Cursor, VS Code and other AI agents draw and edit draw.io diagrams from your project's files, on a live browser canvas you can also edit by hand. Includes version history, undo, cloud shape libraries (AWS, Azure, GCP) and PNG or SVG export.

Provides enterprise architecture knowledge tools that ground agents in curated patterns, enabling translation of messy enterprise asks into realistic architecture recommendations, platform selection, risk checks, and brand context retrieval.

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

Render hierarchical system diagrams as PNGs from YAML definitions using a four-level ontology of networks, factories, machines, and nodes.

Enables creation of infrastructure and architecture diagrams as code using the Python diagrams library, supporting 15+ cloud providers, 500+ node types, custom icons, and flowcharts with multiple output formats.

Enables AI assistants to deeply understand codebases via Knowledge Graphs, supporting fuzzy search, architecture layer queries, call chain tracing, impact analysis, and domain knowledge with multi-project support.

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 MCP clients to list, select, create, summarize, and edit ExcaliDash (Excalidraw) drawings through the Drawing Agent API, supporting both stdio and Streamable HTTP transport.

Local MCP server that converts modeling exercise requests into native Astah projects (.asta), supporting multiple UML diagram types with automatic layout and visual validation.

Enables an AI assistant to load, query and edit a YAML or JSON graph file, with tools for adding, editing and removing nodes and edges, managing reusable styles and graph-level properties, and saving changes. Every change is written to the file immediately, so the same graph can be viewed and edited live in the companion web app.

Generates UML and other diagrams (30+ types) via the Model Context Protocol, supporting multiple output formats and deployment options.

Enables AI-capable IDEs to run an adaptive requirements interview, calculate capacity, and generate validated high-level and low-level design documents with diagrams from a natural-language application description.

Enables AI agents to interact with OrcaSlicer to manage profiles, adjust printing settings, and perform slicing operations. It allows users to search settings, slice STL/3MF files, and analyze G-code metadata through natural language assistants.

Enables analysis of KiCad electronic schematics through natural language queries to search components, trace signal paths, explore connections, and analyze multi-board systems.

Enables AI assistants to create, validate, and visualize ArchiMate 3.2 enterprise architecture diagrams through natural language. Supports all 55+ element types across 7 architectural layers with Mermaid diagram generation and XML export capabilities.

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.

An MCP server for querying and exploring SysML XMI models, specifically designed for MTConnect model exports. It allows users to search for packages, classes, and enumerations while providing tools for analyzing documentation and inheritance hierarchies.

MCP server that bridges AI agents with WSQLite, enabling search, design, and deployment of high-performance SQLite-backed services with industry-standard patterns and architecture enforcement.

Provides AI assistants with access to Apple's Human Interface Guidelines and technical API documentation across all Apple platforms (iOS, macOS, watchOS, tvOS, visionOS), enabling unified search of design principles and implementation details.

Enables AI assistants to control Cadence Xcelium and SimVision simulators in real time for automated RTL and gate-level debugging. It provides 25 tools for signal inspection, watchpoints, binary search, and simulation state management.

Enables LLMs to create, modify, and analyze ArchiMate architecture models using the ArchiMate 3.2 specification, supporting coArchi2 repositories and multiple export formats.

MCP server that enables LLMs to create and edit draw.io diagrams using high-level intent commands, with automatic layout and styling.