"A resource for solving equations" matching MCP servers:

Enables MCP/AI clients to read project state and execute protected PCB operations in EasyEDA Pro via a local Bridge and official extension APIs.

A read-only MCP server for reading and analyzing Lanhu (Blue Lake) design projects, providing tools to retrieve design lists, previews, node trees, schemas, and exportable resources.

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.

An unofficial MCP server for generating infographics and visuals from text using the Napkin AI API, enabling AI assistants to create professional diagrams, mindmaps, and charts.

Connects MCP-aware AI clients to a live SketchUp session so users can create and modify 3D models, apply materials, perform booleans and joinery, and export scenes through natural-language prompts.

Enables Codex to inspect a native After Effects project, make scoped edits, and render frames for review through a local macOS bridge. It exposes MCP tools that drive a named After Effects worker without requiring an in-app panel or separate chat client.

Unofficial MCP server for Douyin AR (像塑), the Douyin effect editor, on macOS. Proxies all official MCP tools and adds the official asset library, add-object menu, AI combine workflows, icon and effect checks, phone preview, Douyin music, tasks and review status. For learning and personal creation only; do not use it to copy other creators' works. Not affiliated with ByteDance or Douyin.

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.

Connects a compatible AI assistant to a running Blender session so it can build, arrange, edit and validate 3D scenes using reusable ready-made actions instead of writing new Python for common operations. It keeps a persistent local bridge open for grouped actions and offers built-in scene checks for floating objects, orientation and clearance problems.

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.

Enables Claude or any MCP client to build, animate, preview, and render motion graphics in a live Adobe After Effects project, including comps, layers, keyframes, effects, cameras, masks, and renders.

Enables models to pose and measure first-person arms and a rifle in Blender, reporting positions in named frames, clearances, visibility, screen placement, and solving rifle moves against goals.

Enables AI clients to inspect, visualize, modify, launch, and manage Autodesk BIM models, views, families, and documents through a local authenticated bridge, including direct code execution.

Enables Codex to interact with and control FreeCAD 1.1.x locally through typed MCP tools, including health checks and an optional Python execution escape hatch for direct document manipulation.

Enables inspection and editing of Cascadeur rigs, controller animation, poses, keyframes, motion plans, review images, and FBX exchange through 49 structured tools plus optional Python execution.

A Python MCP server that allows your agent to outsource HTML generation and rendering, storing artifacts in memory and supporting both full HTML and resource URIs.

Enables AI assistants to programmatically inspect projects, create compositions and layers, apply effects, animate properties, and manage render jobs in Adobe After Effects through natural language.

Enables AI agents to read, watch, and edit live Excalidraw rooms by joining as a socket bot over a self-hosted relay, bypassing browser automation.

Local MCP server exposing Figma REST API tools to AI agents, enabling file reads, comments, variables, and other resource operations. Works with personal access tokens and integrates with Claude, Cursor, Codex, and more.

Connects AI assistants to Rhinoceros 3D and Grasshopper, enabling generative NURBS geometry, parametric definition solving, layer manipulation, and viewport capture.

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 LLM-driven inspection, building, modification, and visual review of Adobe After Effects compositions through structured scene-level operations and a CEP-to-ExtendScript bridge.

Enables AI-assisted 3D scene manipulation in Cinema 4D via natural language, using an MCP server that communicates with a C4D plugin.

Node.js MCP server enabling AI assistants to interact with Autodesk Revit for model operations, data queries, and sketch-to-building generation via LLM.

Enables AI assistants to control Blender 3D modeling software through a stable, goal-oriented tool API for safer and more reliable 3D scene manipulation.

Enables AI assistants to drive a layered raster image editor with painting, shapes, text, filters, and internet-sourced images and fonts via MCP tool calls, with token-efficient rendering and export.

Enables AI coding agents to read and write a user's Figma file through the Figma Plugin API, offline and privately, without API tokens or rate limits.

Enables agents to fit MPFB2/MakeHuman for Blender head models to reference face photos through landmark detection, parameter solving, rendering, depth and texture processing, and model export over MCP.