"KiCad MCP (Model Context Protocol) integration" matching MCP servers:

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

Turn natural language into 3D models in Fusion 360. 64 CAD tools including sketches, extrudes, fillets,and JIS standard parts.

Static codebase analysis as MCP tools — give AI coding agents a map of your repo instead of letting them burn half their tokens rediscovering it file by file.

A Model Context Protocol server for deep codebase understanding of Python projects, focusing on data analysis and scientific computing. It provides architectural analysis, pattern detection, dependency mapping, test coverage analysis, and AI-optimized context generation.

Enables AI agents to query Backstage catalog data as a typed graph over MCP, answering blast-radius, ownership and escalation, dependency, path, change-risk, and catalog-drift questions through bounded read-only tools.

An MCP server for managing Domain-Driven Design models using Context Mapper's CML, with tools to create, update, and visualize bounded contexts, aggregates, and relationships.

Local-first MCP server that gives AI assistants codebase intelligence—code graph, drift analysis, vulnerability attribution, and version-correct library docs—all from the user's machine.

MCP server for rendering Object-Process Methodology (OPM) models from YAML to SVG diagrams and OPL sentences, with validation and generation capabilities.

Connects Claude AI to Blender through the Model Context Protocol, enabling AI-assisted 3D modeling, scene creation, object manipulation, material control, and integration with Poly Haven assets and Hyper3D model generation.

Enables Claude Desktop to control and interact with the Godot Engine editor through the Model Context Protocol. It supports dynamic scene generation and direct asset importation via Meshy API integration.

Validates and renders declarative JSON diagram specs to themeable SVG. The format has no coordinates, so a model writes structure and the renderer does the layout; tools: validate, render, kinds.

15 AI-powered UML diagram tools for coding agents. Generates class, sequence, state, ER, threat model, deployment and architecture diagrams in Mermaid syntax. Works in Claude Code, Cursor and Windsurf.

Enables rendering, validation, formatting, and inspection of D2 diagrams via the Model Context Protocol, using WASM for rendering without requiring the d2 binary.

A Model Context Protocol server that gives an LLM a structured visual layer to describe what exists and get back a clean, precise SVG diagram instead of ASCII art.

Enables coding agents to write repository documents (READMEs, RFCs, design docs, ADRs) from verified codebase facts, using a separate model for drafting and agent fact-checking for accuracy.

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.

Enables AI coding agents to discover, convert, and synchronize Draw.io C4 and UML diagrams into Mermaid Markdown, providing architectural context and guardrails during chat sessions.

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.

Compiles 10 languages into a local AST and Stack Graphs relational index, exposing 12 MCP tools for sub-50ms blast-radius, centrality, and pathfinding queries that cut agent context token burn by ~85%. It also enforces architectural compliance through in-memory Virtual AST workspaces, embedded Datalog policy proofs, zero-config Louvain modularity (ΔQ) gates, and post-edit scope-creep audits.

Enables AI hosts to generate editable online diagrams (flowcharts, mindmaps, UML, and more) from natural language or Mermaid, using a ProcessOn account via the Model Context Protocol.

Enables AI assistants to generate and validate 30+ UML and other diagram types (Mermaid, D2, Graphviz, BPMN, C4, and more) through the Model Context Protocol, returning rendered SVG, PNG, PDF, JPEG, or base64 output via Kroki, PlantUML, and Mermaid backends.

Enables AI assistants to directly control Autodesk 3ds Max through natural language to create models, set materials, adjust lighting, and automate animations. It bridges the Model Context Protocol with 3ds Max via a TCP socket to execute Python and MAXScript commands.

@codapult/guard is local-first, model-agnostic architecture guardrail software for AI coding agents. Use it to detect architectural drift, enforce approved software architecture rules, and check code changes in JavaScript and TypeScript projects.

Enables analysis of any GitHub repository to get architecture, file roles, execution flows, system design Q\&A, and structured agent context. Works with MCP-compatible clients like Claude Desktop, Cursor, and Windsurf.

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.

A cross-project knowledge graph for MCP that maps features across mobile, backend, and admin codebases, giving AI agents full-stack context.

Provides Model Context Protocol access to the SEAF ArchTool REST API, enabling agents to inspect sections and entities, navigate relations, query datasets, and run JSONata expressions against a SEAF portal.

Model Context Protocol server that lets AI agents drive StarUML programmatically — generate UML diagrams, execute commands, and manage elements and projects via HTTP.

Serves graph-native code questions from a TypeScript codebase as an MCP server. It extracts structural graphs via tree-sitter and HydraDB to answer callers, impact, and context queries.

Connects Claude Desktop, Cursor, and other MCP clients to a governed enterprise architecture context engine so assistants can answer map-grounded, evidence-cited questions and optionally propose document enrichment for human approval.

A Model Context Protocol server that manages structured technical spike investigations and generates Architecture Decision Records through an enforced four-phase workflow. It enables developers to track exploration branches, document adversarial challenges, and maintain persistent state across multiple sessions.

This MCP server enables AI models to analyze local Python codebases using abstract syntax trees, providing tools for file structure analysis, symbol search, import graphing, docstring auditing, and refactoring prompts without loading entire source files into context.

Provides deep structural analysis of TypeScript and JavaScript code via the TypeScript Compiler API, offering 20 tools for functions, types, call graphs, code quality, dead code detection, and IDE integration.

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

Enables creation of complete metamodels and model instances through natural language interaction by connecting Large Language Models to the MM-AR metamodeling platform.

Enables developers and product owners to scan a codebase and extract a readable business overview—features, roles, access control, data model, and endpoints—along with findings on missing or inconsistent rules, and generate shareable HTML or Markdown reports and diagrams.

A Model Context Protocol server that converts Mermaid diagram code into various image formats (PNG, JPG, SVG, PDF) with theme customization options for AI clients.

Connects agentic AI to Software AG ARIS platforms, enabling model and object operations via MCP tools.

An MCP server that generates professional infrastructure diagrams using the Python diagrams DSL, with first-class Azure support and GitHub Copilot integration for natural language diagram generation.

An MCP server for Electronic Design Automation that provides comprehensive tools for managing KiCad 9.x PCB design workflows. It enables users to create schematics, layout PCBs, perform design rule checks, and export manufacturing files through a standardized interface.