"A server for searching local Obsidian Markdown notes" 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.

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 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.

MCP server enabling AI assistants to create and edit Excalidraw diagrams as Obsidian-native .excalidraw.md files, with style presets, batch element creation, arrow binding, and an Obsidian selection bridge for localized edits.

Enables Claude and Codex to inspect the open Figma Desktop file — document structure, pages, selections, node properties and search — and to export nodes as PNG, SVG or JPG. It works over a local plugin-to-bridge WebSocket connection, so free-plan users get design context without Dev Mode, a paid seat, API keys or rate limits.

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.

Enables AI clients to inspect and make targeted, revision-checked edits to Excalidraw class diagrams stored in a local Obsidian vault, including adding, moving, rewiring, resizing, and deleting shapes, text, and arrows. It supports low-level design review by summarizing classes and relationships, and confines access to a configured folder while backing up drawings before each change.

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.

MCP server enabling AI assistants to read and write Obsidian notes, create and edit Excalidraw drawings, and run Excalidraw scripts via natural language commands.

A local-only MCP bridge that connects an MCP client to an open Figma file via a Figma plugin, enabling direct document editing, inspection, export, and audit without using the Figma REST API.

Enables coding agents to read designs, variables, selections, and node screenshots or exports from the currently open Figma file through a local desktop-plugin bridge, without consuming the official Figma MCP quota.

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.

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 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.

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

Enables AI clients to import and inspect Figma designs, read properties, styles, components, and variables, download screens and assets, and validate screenshots against offline snapshots.

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.

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.

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.

Unofficial local MCP bridge for reading the currently open Figma file through a Figma plugin. Provides tools to inspect selection, file info, and export selected nodes as SVG/PNG.

Local MCP bridge that exposes the ChatGPT Figma connector to OpenCode without launching Codex, using the existing authenticated session.

Bridges MCP clients to Figma, enabling live canvas manipulation via a plugin WebSocket and file metadata access through the Figma REST API.

Translates natural language commands into structured geometric operations for a simulated CAD engine using LLMs. It enables users to create shapes, modify dimensions, and perform 3D operations like extrusion through the Model Context Protocol.

Nucleo is a WordPress plugin with a built-in MCP server. AI agents such as Claude and Cursor read the site and create pages, layouts, global sections and design tokens as JSON documents. The compiler turns them into static HTML and CSS on save, so pages add no runtime cost. A quality engine checks SEO and accessibility before a page goes live. Access uses OAuth 2.1 with scopes the site administrat

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.

Converts Figma to Markdown. Strips out visual noise to drastically reduce LLM token consumption.

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.

Manages a local bridge server that exposes Figma design capabilities to AI agents like Copilot, Claude Code, and others through MCP tools, with plugin build and lifecycle controls in VS Code.

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 Claude and other MCP clients to create and modify SOLIDWORKS parts, assemblies, sheet metal, weldments, drawings, and bills of materials from natural-language requests, run strength simulations, and receive model views and stress maps as images.

Enables LLMs to drive Blender through socket-based two-way communication, letting them create and modify 3D objects, apply materials, run Blender Python, and fetch or generate assets while visually verifying results. Supports prompt-assisted 3D modeling, scene creation, and manipulation.

Enables agents to create and edit Figma text using fonts installed locally on the user's computer, without uploading font files, through a local MCP bridge and companion Figma Desktop plugin.

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.