"A local vector-based search engine for personal documents" 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.

Vector illustration tools for AI agents — create scenes, characters, and graphics with shapes, armatures, materials, and rendering.

Enables AI agents to turn local photos and ASCII designs into deterministic crochet chart PNGs with exact per-color stitch counts and yarn estimates across graph, C2C, tapestry, mosaic, and filet techniques.

Headless InDesign document composition via MCP: parse IDML templates, convert content to ICML stories, and compose complete newspaper IDML files conversationally.

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

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.

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.

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 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 AI assistants to control and automate Unreal Engine through a native C++ Automation Bridge plugin. It supports a comprehensive range of tasks including asset management, actor manipulation, editor control, and blueprint graph editing.

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.

An extensible MCP server and generative UI engine for hosting interactive B2B enterprise workflows with dynamic styling and stateful simulators.

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.

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