"Construct 3" matching MCP servers:

A Python MCP server that generates complete Vue 3 CRUD structures with Composition API, including components, services, stores, and routes.

The most feature-complete MCP server for Obsidian vaults. 23 tools and 3 resources for search, read, write, tags, link analysis, graph traversal, and canvas support.

Enables AI assistants to read, write, organize, search, and compile Scrivener writing projects. Supports manuscript editing, document management, consistency checking, and PDF export for writers using Scrivener 3.

Enables AI assistants to generate high-quality images using OpenAI's DALL-E 3 model with configurable parameters like size, quality, and style. Generated images are automatically saved to the local filesystem with comprehensive error handling.

A TypeScript-based MCP server that generates images using OpenAI's dall-e-3 model based on text prompts and saves them to a specified directory.

Enables AI agents to read local Victoria 3 save files, list saves, and analyze country, economy, politics, diplomacy, military, and technology data, while generating construction, law, and diplomatic advice.

Enables AI agents on Windows to read, write, copy, move, and delete files inside WSL distributions, run shell commands in a login shell, and convert between Windows and Linux path styles. Commands are piped to bash -s via stdin so quotes, $, backticks, and other special characters pass through without Windows shell escaping errors.

Enables an AI assistant to drive a Color Computer 3 emulated in MAME, including entering BASIC commands, mounting disk images, capturing screen snapshots, and peeking/poking memory.

A tuned filesystem MCP server for Codex-style development, offering fast file operations, bounded output, and safe edits.

Snapshot-based file editing for AI agents. Enables safe file edits by sending only new content against immutable, content-addressed snapshots with 3-way merging and ambiguity protection.

A self-hosted MCP server that enables AI coding agents to read, edit, search, and run code in local projects with human review loops and policy controls.

Enables ChatGPT, Claude, and other web MCP clients to access and operate multiple VS Code workspaces through tools such as read, bash, edit, write, and workspace_info, with per-workspace tokens and role-based permissions.

Provides a secure MCP tool to append confirmed parking reservations to durable storage with validation, audit logging, and concurrency safety.

Enables users to index local Markdown articles and then search, filter, list, and retrieve them through MCP tools while keeping all content on the local machine.

Enables people and AI to read the same PDFs, arXiv papers, and GitHub documentation/code together by preserving source identity, page or line locations, and selected text so the current chat can explain the material in context.

Enables digital forensics investigation by exposing SANS SIFT tools (The Sleuth Kit, Volatility 3, Plaso, etc.) as callable MCP tools, running in a self-contained Docker container with safe, allowlisted commands.

Stores and retrieves personal information fields securely, allowing Claude to access your name, address, email, and professional details without re-typing them.

Enables AI assistants to read local documents by converting PDFs, Office files, images, and audio to Markdown on-device, without uploading them.

Read selected local folders from ChatGPT on macOS, with per-folder read-only or read-write access and hash-checked, recoverable edits. Requires local installation and a private ChatGPT app. The Glama container is a synthetic evaluation demo; it does not connect to files on your Mac.

Enables AI assistants to read, edit, and execute Jupyter notebook files (.ipynb) with live kernel output, without requiring JupyterLab.