Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
MCP server for architecture and system design. Store and manage project architecture locally.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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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-architectorPaste 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.
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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account theSharque, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (1.11.1) reached the registry 42 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
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
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
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.
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.
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
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.
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.
.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/
list-projects and pass projectId on every write — do not rely on omitting it.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/.
Store and manage project architecture, modules, scripts, data flow, and usage examples - all locally with complete privacy.
~/.mcp-architector (privacy-first)~/.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)
| Layer | Purpose | Tools |
|---|---|---|
| Modules | Vertical structure: components, dependencies, dataFlow | set-project-architecture, set-module-details, set-module-data-flow, rebuild-data-flow, validate-architecture |
| Entries | Single source of truth for horizontal facts (one fact = one file) | set-entry, set-entries, get-entry, list-entries |
| Slices | Read-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.
list-projects — find projectId for this workspace (query by folder name). Pass it to every other tool. Never omit. Never use default-project.get-project-architecture / set-project-architecture.set-module-details with files + `facts[]` (endpoints, entities, glossary) in the same call, or set-entries / set-entry with refs.moduleName.set-module-data-flow.rebuild-data-flow.validate (summary + issues[]; no full project load).list-slices → get-slice with format=compact or table; use offset when hasMore is true.search-entries → get-entry for full payload.refactor-architecture: scan → dryRun preview → apply with confirm=true.| Scenario | Tool |
|---|---|
| Update one module + its APIs/facts | set-module-details with facts[] |
| Bulk facts for a domain | set-entries with moduleName |
| Patch dataFlow for one module | set-module-data-flow |
| Rebuild all module edges | rebuild-data-flow |
| Diagnose graph + empty slices | validate (or validate-architecture) |
| Catalog JSON corrupt (extra data after JSON) | fix-data |
| Sync paths/names after refactor | refactor-architecture (dryRun, then confirm) |
| Index out of sync | rebuild-entry-index |
| Create project from scratch | set-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.
# No installation needed - use directly in Cursor/Claude Desktop
git clone https://github.com/theSharque/mcp-architect.git
cd mcp-architect
npm install
npm run build
Run with hot reload:
npm run dev
Start the server:
npm start
Debug and test your server with the MCP Inspector:
npm run inspector
Installs from npm registry automatically:
{
"mcpServers": { "architector": { "command": "npx", "args": ["-y", "mcp-architector"], "env": { "MCP_PROJECT_ID": "${workspaceFolder}" } } } }
For local development with live changes:
{
"mcpServers": { "architector": { "command": "mcp-architector", "env": { "MCP_PROJECT_ID": "${workspaceFolder}" } } } }
Requires: cd /path/to/mcp-architector && npm link -g
{
"mcpServers": { "architector": { "command": "node", "args": ["/path/to/mcp-architector/dist/index.js"], "env": { "MCP_PROJECT_ID": "${workspaceFolder}" } } } }
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": "${workspaceFolder}" } } } }
Edit .continue/config.json:
{
"mcpServers": { "architector": { "command": "npx", "args": ["-y", "mcp-architector"], "env": { "MCP_PROJECT_ID": "${workspaceFolder}" } } } }
projectId is required on every tool except list-projects. There is no default dump project.
query = workspace folder name)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.
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 descriptionmodules: Array of module objects with:name: Module namedescription: Brief description of the moduleinputs (optional): What this module requires to workoutputs (optional): What this module produces or generatesdataFlow (optional): Object describing data flow between modules (omit to keep existing):dependsOn (optional): Array of module names this module depends onprovidesTo (optional): Derived on save from all dependsOn edgesdataTransformation (optional): How data is transformed between modulesreplaceModules (optional): Replace entire modules list (default false = merge by name)replaceDataFlow (optional): Replace entire dataFlow (default false = merge by module name)Output:
Retrieves the overall architecture of the project.
Input:
projectId (required): Project ID from list-projects. Never omit. default-project is forbidden.Output:
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 nullreminder: always pass projectId; never use default-project| Tool | Purpose |
|---|---|
set-entry | Upsert one fact; response may include reminder if modules missing or unlinked |
set-entries | Bulk upsert (max 200); optional moduleName sets refs.moduleName on all |
get-entry | Full entry by id |
delete-entry | Remove entry |
list-entries | Catalog without payload; filter by kind, tags, query |
search-entries | Compact text search with snippet, slices, moduleName, pagination; filters: moduleName, kind, tags |
| list-slices | Built-in + custom slices with e
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