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mcp-architector

by theSharqueversion 1.11.1i★ –iRuns on your computer
Registry nameio.github.theSharque/mcp-architector

Install

Overview

Description from the maker (original English)

MCP server for architecture and system design. Store and manage project architecture locally.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Design, images & audio

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "architector": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-architector"
      ]
    }
  }
}

Run this in your terminal

claude mcp add architector -- npx -y mcp-architector

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "architector": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-architector"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "architector": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-architector"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account theSharque, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

  • More stars than 0% of the other 2792 servers in this category
  • Published to the registry more recently than 39% of the other 2792 servers in this category
  • Basic checks equal to or better than 100% of the other 2792 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is mcp-architector safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.11.1) reached the registry 42 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Figma Context MCP

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

by GLipsWidely used↓ 161.2K/wk★ 16.2KUpdated 5 months ago

Runs on your computer

Claude Real Video

Let any LLM watch a video locally — and search everything it has ever watched.

by HUANGCHIHHUNGLeoWidely used↓ 1.1K/wk★ 2.3KUpdated 2 months ago

Runs on your computer

Figma MCP Server

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

by figmaWidely used★ 2.2KUpdated 13 months ago

Runs in the cloud✓ mcp.figma.com

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

MCP Architector

Model Context Protocol (MCP) server for architecture and system design

Local-first MCP server that stores and manages project architecture information. All data is stored locally in ~/.mcp-architector for maximum privacy and confidentiality.

📦 Install: npm install -g mcp-architector or use via npx 🌐 npm: https://www.npmjs.com/package/mcp-architector 🔗 GitHub: https://github.com/theSharque/mcp-architect

How to connect to Claude Desktop / IDE

Add the server to your MCP config. Example for claude_desktop_config.json:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json Linux: ~/.config/Claude/claude_desktop_config.json

{

"mcpServers": { "architector": { "command": "npx", "args": ["-y", "mcp-architector"], "env": { "MCP_PROJECT_ID": "${workspaceFolder}" } } } }

For Cursor IDE: Settings → Features → Model Context Protocol → Edit Config, then add the same block inside mcpServers. See the Integration section for more options.

Cursor rule (recommended)

For Cursor IDE and Cursor Cloud Agents, use a phased onboarding rule so the agent does not dump the whole repo into context in one shot.

  1. Copy .cursor/rules/architector-onboarding.mdc into your project (the repo you are documenting):
   mkdir -p /path/to/your-app/.cursor/rules

cp /path/to/mcp-architector/.cursor/rules/architector-onboarding.mdc /path/to/your-app/.cursor/rules/

  1. Ensure MCP Architector is connected. The agent must call list-projects and pass projectId on every write — do not rely on omitting it.
  1. Ask in chat, for example: *"Onboard this repo into architector — phase 0 plan first"* or *"Import architecture module by module"*.

The rule is `alwaysApply: false` — Cursor attaches it when the task matches architecture import/onboarding. It enforces: structure → one module per step → validate after each step → compact tools only.

If you develop this server repo, keep the same file here so contributors and Cloud Agents follow the same workflow when updating ~/.mcp-architector/_qs_mcp-architector/.

Overview

Store and manage project architecture, modules, scripts, data flow, and usage examples - all locally with complete privacy.

Features

  • Local Storage: All data stored in ~/.mcp-architector (privacy-first)
  • Project Architecture: Store and retrieve overall project architecture
  • Module Details: Detailed information about each module
  • Resources: Access architecture data via resources

Storage Structure

~/.mcp-architector/

└── {projectId}/ ├── architecture.json # Modules + dataFlow (vertical structure) ├── modules/ │ ├── {moduleId}.json │ └── ... ├── entries/ │ ├── index.json # Catalog (no duplicate bodies) │ └── {entryId}.json # Canonical facts (API, domain, flows, …) ├── slices/ │ └── {sliceId}.json # Custom filters only (no items)

Data model

LayerPurposeTools
ModulesVertical structure: components, dependencies, dataFlowset-project-architecture, set-module-details, set-module-data-flow, rebuild-data-flow, validate-architecture
EntriesSingle source of truth for horizontal facts (one fact = one file)set-entry, set-entries, get-entry, list-entries
SlicesRead-only views over entries (built-in or custom filters)list-slices, get-slice

Anti-patterns (no duplication): Do not copy module.description into entry.summary. Link with refs.moduleName. Slices never store item copies—only filters in slices/*.json.

Do not edit `~/.mcp-architector` directly — always use MCP tools so timestamps, merge semantics, and dataFlow inverse sync stay consistent.

Agent workflow

  1. list-projects — find projectId for this workspace (query by folder name). Pass it to every other tool. Never omit. Never use default-project.
  2. Structure task → get-project-architecture / set-project-architecture.
  3. Each module → set-module-details with files + `facts[]` (endpoints, entities, glossary) in the same call, or set-entries / set-entry with refs.moduleName.
  4. Single module graph edge → set-module-data-flow.
  5. Bulk rebuild flow (many modules) → rebuild-data-flow.
  6. After edits, verify everything → validate (summary + issues[]; no full project load).
  7. Need a category (all APIs, all domain terms) → list-slices → get-slice with format=compact or table; use offset when hasMore is true.
  8. Find by name → search-entries → get-entry for full payload.
  9. After code refactor (same modules) → refactor-architecture: scan → dryRun preview → apply with confirm=true.
ScenarioTool
Update one module + its APIs/factsset-module-details with facts[]
Bulk facts for a domainset-entries with moduleName
Patch dataFlow for one moduleset-module-data-flow
Rebuild all module edgesrebuild-data-flow
Diagnose graph + empty slicesvalidate (or validate-architecture)
Catalog JSON corrupt (extra data after JSON)fix-data
Sync paths/names after refactorrefactor-architecture (dryRun, then confirm)
Index out of syncrebuild-entry-index
Create project from scratchset-project-architecture with replaceModules: true
Onboard a fresh git clone (phased)Copy .cursor/rules/architector-onboarding.mdc → ask agent to onboard phase by phase

Full project picture: modules alone do not populate slices — without http-endpoint (and other kinds) entries, slice api stays empty. New module → add facts or entries in the same step.

Example: set-module-details with facts: [{ kind: "http-endpoint", title: "POST /orders", ... }], then get-slice sliceId=api format=table.

Quick Start

For Users (using npm package)
# No installation needed - use directly in Cursor/Claude Desktop

Just configure it as described in Integration section below

For Developers
  1. Clone the repository:
git clone https://github.com/theSharque/mcp-architect.git

cd mcp-architect

  1. Install dependencies:
npm install
  1. Build the project:
npm run build

Usage

Development Mode

Run with hot reload:

npm run dev
Production Mode

Start the server:

npm start
MCP Inspector

Debug and test your server with the MCP Inspector:

npm run inspector

Integration

Cursor IDE
  1. Open Cursor Settings → Features → Model Context Protocol
  2. Click "Edit Config" button
  3. Add one of the configurations below
Option 1: Via npm (Recommended)

Installs from npm registry automatically:

{

"mcpServers": { "architector": { "command": "npx", "args": ["-y", "mcp-architector"], "env": { "MCP_PROJECT_ID": "${workspaceFolder}" } } } }

Option 2: Via npm link (Development)

For local development with live changes:

{

"mcpServers": { "architector": { "command": "mcp-architector", "env": { "MCP_PROJECT_ID": "${workspaceFolder}" } } } }

Requires: cd /path/to/mcp-architector && npm link -g

Option 3: Direct path
{

"mcpServers": { "architector": { "command": "node", "args": ["/path/to/mcp-architector/dist/index.js"], "env": { "MCP_PROJECT_ID": "${workspaceFolder}" } } } }

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{

"mcpServers": { "architector": { "command": "npx", "args": ["-y", "mcp-architector"], "env": { "MCP_PROJECT_ID": "${workspaceFolder}" } } } }

Continue.dev

Edit .continue/config.json:

{

"mcpServers": { "architector": { "command": "npx", "args": ["-y", "mcp-architector"], "env": { "MCP_PROJECT_ID": "${workspaceFolder}" } } } }

Using Project ID

projectId is required on every tool except list-projects. There is no default dump project.

  1. Call `list-projects` first (optionally with query = workspace folder name)
  2. Pass the matching `projectId` to every other tool
  3. If none matches, create one with set-project-architecture using a stable id from the workspace path (e.g. _qs_my-app)

MCP_PROJECT_ID is only a hint (isCurrent / suggestedProjectId). It is not used as a silent write target. default-project and unsubstituted ${workspaceFolder} ids are forbidden.

Tools

set-project-architecture

Creates or updates the overall architecture for a project. By default merges modules and dataFlow by name; omit dataFlow to preserve existing flow. dependsOn is canonical; providesTo is recomputed on save.

Input:

  • projectId (required): Project ID from list-projects. Never omit. default-project is forbidden.
  • description: Overall project description
  • modules: Array of module objects with:
  • name: Module name
  • description: Brief description of the module
  • inputs (optional): What this module requires to work
  • outputs (optional): What this module produces or generates
  • dataFlow (optional): Object describing data flow between modules (omit to keep existing):
  • Key: module name
  • Value: object with:
  • dependsOn (optional): Array of module names this module depends on
  • providesTo (optional): Derived on save from all dependsOn edges
  • dataTransformation (optional): How data is transformed between modules
  • replaceModules (optional): Replace entire modules list (default false = merge by name)
  • replaceDataFlow (optional): Replace entire dataFlow (default false = merge by module name)

Output:

  • Project ID and success message
get-project-architecture

Retrieves the overall architecture of the project.

Input:

  • projectId (required): Project ID from list-projects. Never omit. default-project is forbidden.

Output:

  • Complete project architecture
list-projects

Lists all projects in local storage (~/.mcp-architector). Call this first. Match the current workspace by folder name, then pass projectId to every other tool.

Input:

  • query (optional): Filter by substring in projectId or description (case-insensitive)

Output:

  • projects[]: projectId, description, moduleCount, updatedAt, isCurrent (hint from MCP_PROJECT_ID), forbidden (default-project and unsubstituted workspaceFolder dumps)
  • suggestedProjectId: current MCP_PROJECT_ID when it is a valid id, else null
  • reminder: always pass projectId; never use default-project
Entries and slices
ToolPurpose
set-entryUpsert one fact; response may include reminder if modules missing or unlinked
set-entriesBulk upsert (max 200); optional moduleName sets refs.moduleName on all
get-entryFull entry by id
delete-entryRemove entry
list-entriesCatalog without payload; filter by kind, tags, query
search-entriesCompact text search with snippet, slices, moduleName, pagination; filters: moduleName, kind, tags

| list-slices | Built-in + custom slices with e

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