"Local RAG system for providing documentation to a large language model (LLM)" matching MCP servers:

A local, offline MCP server that enables AI agents to collaborate with SketchUp for controlled modeling, editing, and review tasks via 41 MCP tools.

Enables an AI assistant to open 3D model files (STL, 3MF, Bambu Studio and OrcaSlicer projects) in a local browser viewer where the user clicks exact spots to leave feedback. Each note comes back with the part name, millimetre coordinates, surface direction and a numbered screenshot, so the assistant can revise the design and show the new version.

A Model Context Protocol server that exposes an airline design system as a queryable knowledge base, enabling AI to discover components, find components for use cases, and scaffold prototypes.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

Automated MCP server for the Insider Design System. Enables AI assistants to discover, understand, and generate code for over 60 Design System components with automated extraction from source code.

Creates a local MCP runtime for design-system repositories, enabling AI coding agents to look up and use real components, icons, and tokens instead of guessing.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

Enables AI coding agents to discover, compare, select, and enforce design systems and component libraries, with installation guidance, component APIs, and strict adherence directives to prevent default substitutions.

MCP server to help AI assistants generate Italian PA user interfaces by providing components, recipes, accessibility rules, and validation for Bootstrap Italia and Web Components.

Enables AI-driven 3D modeling and scene creation in Blender, allowing LLMs to create, modify, and manipulate objects, materials, and assets through natural language.

A local MCP server that reads and edits a Figma Design file through a development plugin, creating real editable layers (frames, text, shapes, components, images) rather than flattened screenshots. It runs entirely on loopback with no personal access token, API key, or cloud bridge, letting an agent inspect documents, build and update layers, export previews, and wire up prototype navigation.

Enables an agent to read, edit, and build Figma designs from scratch — including style guides, variables, components, and screens — through a local plugin bridge to the open file's Plugin API, with no Figma token or REST API calls.

Enables controlling GIMP 3 locally through natural language, providing tools for image editing, layer management, selections, and PDB procedure invocation. Keeps all images and files on the user's machine with a local-first, secure design.

Ask, check and change live Revit models from Claude, Cursor or any MCP client. One undo per change, read-only switch. Revit 2022-2027.

Enables an MCP-compatible AI client to author Blender Python, run Blender, import the resulting asset into Unity with materials and a prefab, place it in the active scene, verify the import, and revise the same asset using stable IDs.

A Model Context Protocol server that exposes a versioned brand package (tokens, rules, recipes, media rights, and audit gates) as resources, tools, and prompts for AI agents. It enables agents to plan and audit on-brand UI, image, motion, and video outputs while remaining read-only and credential-free.

Enables MCP-capable AI clients to control an interactive SOLIDWORKS 2025 session through a durable shared queue with whole-operation locking, document targeting, and explicit recovery.

Connects MCP-compatible AI assistants to Azgaar's Fantasy Map Generator so they can view, inspect, edit, and export fantasy maps in a live local browser, including borders, states, terrain, layers, and files. It runs locally and offline after installation, supports collaborative manual editing, undo, autosave, and text-only map output for models that cannot see images.

Transforms Figma design data into a compact, LLM-friendly format for code generation, reducing size by 99.5% while preserving UI-critical information.

Enables an agent to turn a paper's draft into editable Figma frames for publication-ready figures, checking every number against the paper and verifying the exported PDF.