"Information about network devices" matching MCP servers:

Creates and visualizes network diagrams through MCP tools for adding nodes and edges, with real-time web interface and REST API for building architecture diagrams interactively.

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.

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.

Renders diagram-as-code to PNG files on your disk, and also provides text-art previews and syntax validation, all locally without a browser or network.

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

An MCP server that generates standalone SVG architecture diagrams from text descriptions, running entirely on your machine with no dependencies or network access.

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 MCP clients to scope and generate safe Odoo add-on starters locally, including drafting architecture plans, creating 11-file add-on scaffolds, validating them, and saving files to disk—all without API keys or network access.

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!

Generates professional Draw.io compatible diagrams (flowcharts, sequence diagrams, network diagrams, and custom diagrams) from natural language prompts, outputting XML files that can be opened directly in Draw.io.

Read-only reports on a codebase's LLM-induced entropy: exact and near-miss clone blocks, duplicated documentation, dead code with a liveness verdict, size and complexity metrics, architecture and structure axes, merge suggestions and an erase plan. 21 tools over the local ce and ce-core binaries; no model, no network.

Enables AI models to create and manage various types of diagrams (flowcharts, UML, network diagrams, 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.

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.

A local MCP server that gives AI coding agents symbol definitions, dependency graphs, and a live architecture vocabulary for TypeScript/JavaScript repos, with no network or embeddings.

A deterministic, read-only MCP server that lets coding agents search Git-backed architecture decision records and retrieve decisions governing specific files. It includes rejected and superseded decisions, with no model, network, or write access.

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.