"Utilizing Local LLMs for Query Preprocessing with Minions Framework" 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.

Token-efficient Figma MCP server with image export, query DSL, and design token support.

Enables AI assistants to control Blender 3D modeling and rendering through natural language commands via the Model Context Protocol.

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

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

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.

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.

Enables MCP clients like Codex to inspect, create, update, and export Figma designs through a local desktop plugin and bridge.

Enables any MCP client to drive the real Figma Desktop plugin API through one local daemon, so agents can read and edit the open file, take screenshots, export assets, and inspect variables, components, and styles. Everything stays on 127.0.0.1 with no cloud, API keys, or Dev/Full seat required.

Enables local MCP-capable assistants to connect to Figma Desktop to read documents, pages, and selections, edit native layers and components, and export PNG/SVG across multiple files without Figma API keys.

Enables MCP clients to read and modify the currently open Figma design file through a paired local Figma plugin, supporting operations like creating nodes, editing properties, and exporting PNG/SVG.

A local, high-performance replacement for the hosted Figma MCP server that caches Figma files and exposes a local MCP endpoint for Cursor or any MCP client.

Enables local control of Adobe After Effects via MCP, offering offline creative skills, project inspection, and operation execution without cloud relay or an installed AE panel.

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.

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 AI assistants to inspect and organize Adobe Premiere Pro projects, edit timelines with frame-accurate cuts and trims, animate motion and opacity keyframes, and trigger exports through natural language.

Enables controlling CLO3D from any MCP client to inspect projects, create and edit patterns, manage fabrics and colorways, run simulations, and export models through chat.

An MCP server that provides AI tools with relational tech principles, patterns, and the Studio library to guide builders in creating community-centered tools using embedded design.