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kgnatx avatar

Mockups Gallery

kgnatx/mockups-mpc
2STDIO, HTTP, SSEregistry active
Summary

A self-hosted gallery that accepts AI-generated mockups via MCP and displays them in a web UI. The clever bit: it keeps large HTML files out of your model context by having Claude write the file locally and curl it to a POST /api/upload endpoint, then use lightweight MCP tools (send_mockup, list_mockups, get_mockup, update_mockup, delete_mockup, tag_mockup) for metadata operations only. Built on FastAPI with SQLite for cataloging and filesystem storage. Serves both an HTTP/SSE MCP endpoint for your AI client and a browser gallery at the root. Useful when you're generating lots of UI mockups or design prototypes and want a persistent catalog instead of files scattered across chat sessions. No auth built in, so deploy behind a reverse proxy or on a trusted network.

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Mockups MPC

CI License: MIT

A self-hosted gallery for AI-generated mockups — with an MCP interface. Instead of cluttering your repo, mockups get a permanent home and a clean web gallery you can browse. AI tools upload them over a direct curl call; MCP handles only the lightweight coordination — listing, metadata, tagging, and retrieval.

Token-efficient by design. MCP tool parameters flow through the model context, so sending a large HTML file via a tool call wastes tokens. Mockups MPC provides an HTTP upload endpoint (POST /api/upload) — the AI writes the file locally and curls it to the server, keeping file content entirely out of the model context. MCP tools handle lightweight operations only: listing, metadata, tagging, and deletion.

Mockups MPC — gallery demo

Prerequisites

  • Docker (for deployment) or Python 3.12+ (for local development)
  • An MCP-compatible AI client (Claude Code, Claude Desktop, etc.)
  • Optional: Traefik reverse proxy (for production with TLS)

Why

Every time an AI tool generates a mockup, there's no consistent place for it to go — so they pile up in your repo or get scattered across temp dirs, sessions lose track of them, and there's no history. Mockups MPC gives them a permanent home instead: the AI pushes the mockup to the gallery, you browse it there, and the local file gets cleaned up. One place for everything, nothing cluttering your project.

Architecture

┌─────────────────┐     MCP (HTTP/SSE)     ┌──────────────────────┐
│  Claude Code /  │ ◄───────────────────── │                      │
│  Claude Desktop │  send/list/get/update  │    Mockups MPC       │
│  Any MCP Client │  delete/tag            │    (FastAPI)         │
└─────────────────┘                        │                      │
                                           │  ┌────────────────┐  │
       Browser                             │  │  MCP Server    │  │
    ┌──────────┐      GET /                │  │  (fastmcp)     │  │
    │ Gallery  │ ◄──────────────────────── │  └────────────────┘  │
    │ Viewer   │                           │  ┌────────────────┐  │
    └──────────┘                           │  │  JSON API      │  │
                                           │  │  /api/*        │  │
                                           │  └────────────────┘  │
                                           │  ┌────────────────┐  │
                                           │  │  SQLite (WAL)  │  │
                                           │  │  + Filesystem  │  │
                                           │  └────────────────┘  │
                                           └──────────────────────┘

Single Docker container running a FastAPI app that serves two roles:

  1. MCP Server — mounted at /mcp/ (HTTP transport) and /mcp/sse (SSE transport). AI tools connect here to send and manage mockups.
  2. Web Gallery — served at /. Sidebar with project list and chronological feed, main viewer with iframe/image display.

Data Layer

  • SQLite in WAL mode — metadata catalog (project, title, description, tags, content type, timestamps)
  • Filesystem — mockup files stored in data/{project_slug}/{uuid}.{ext}
  • Storage is a bind-mounted data/ directory next to the compose file

Tech Stack

  • Python 3.12
  • FastAPI + uvicorn
  • fastmcp v3.x (standalone)
  • SQLite via aiosqlite
  • Jinja2 templates + vanilla JS
  • Docker + Traefik

Security

There is no built-in authentication. All API endpoints and MCP tools are open to anyone who can reach the server. This is designed for trusted networks (LAN, VPN, Tailscale) or behind a reverse proxy that handles auth. If you deploy this on a public network, add authentication at the proxy layer.

Versions

A mockup ("design") can hold more than one version — every revision of the same screen, kept in one place instead of scattering separate mockups.

  • Add a version to an existing design: upload with -F parent=<id> (a design or alias id). It's added as the next version; earlier versions and their files are kept.
  • Auto-fold: upload without parent and the server still checks for a match. If exactly one design in the same project has the same base title — the title with trailing markers like v2, draft 3, rev 2, r5, a bare trailing number, or trailing parentheticals such as (rail fixed) stripped — the upload becomes a new version of it automatically. Variant markers (option B, variant C, a standalone trailing letter) are never stripped, so "Hero — option B" and "Hero — option C" stay separate designs. Zero or several matches also create a new design. Pass -F fold=false to always create a new design regardless of title. An auto-folded upload's response carries folded: true and a note saying how to split it back out if the match was wrong.
  • Direct link to one version: /view/{id}/v/{n} serves that exact version. /view/{id} serves the latest version when {id} is a design id, and the pinned version when {id} is an alias id (see below).
  • Folding keeps old links working. When a mockup is folded into another design, its id becomes an alias pinned to the version it turned into, and every read (/view/…, get_mockup, etc.) resolves it transparently. A version link minted before the fold (/view/{old id}/v/1) keeps working too.
  • Splitting and deleting a version do remove links. A split-out version moves to its new design as v1, so its old /view/{design}/v/{n} link returns 404 (the new design reuses the version's alias id when it has one, so that id keeps working). Deleting a version removes it and any alias pinned to it.
  • Undo a fold: split_version(id, version) pulls one version back out into its own standalone design, reusing its old alias id if it has one.

Merging existing duplicates (opt-in, one-time)

If you were already uploading revisions as separate mockups before this feature existed, python -m app.fold finds and merges them:

python -m app.fold --dry-run     # print the proposed groups, change nothing
python -m app.fold --apply       # perform them
python -m app.fold --dry-run --data-dir /path/to/copy   # run against another data directory

--data-dir points the command at a different data directory (the one holding mockups.db) instead of the configured one — useful for trying the fold on a scratch copy of your data before running it for real.

It groups designs that share a project and a base title, oldest first, and folds each group into one design (the oldest survives; the rest become versions, with their old ids kept as aliases). This never runs automatically — it's a command you run by hand, and only after reviewing the dry-run output, since merging is not reversible in bulk (each design can still be split back out individually with split_version).

MCP Tools

ToolDescription
send_mockupSend HTML/SVG (raw string) or PNG/JPG (base64) to the gallery. Supports parent and fold (see Versions). Returns a gallery URL.
list_mockupsList mockups reverse-chronologically, optionally filtered by project.
get_mockupGet a specific mockup by UUID with view and gallery URLs, plus its version list. Curl the view_url to read the file content.
update_mockupUpdate metadata (title, description, tags), or add a new version by supplying content (earlier versions are kept).
split_versionSplit one version out of its design into its own standalone mockup — reverses a fold.
delete_mockupDelete a mockup, or (with version) just one version — removes the DB record(s) and file(s) on disk.
tag_mockupAdd or remove tags on an existing mockup.
set_created_atChange the created date of a mockup (or one version). Useful for backdating uploads or reordering the timeline.

The server stores all content permanently. AI clients can clean up local files when they're no longer needed, or retrieve content later via get_mockup.

API Routes

RoutePurpose
GET /Gallery UI
GET /view/{id}Raw mockup: the latest version for a design id, the pinned version for an alias id (HTML rendered, images served with correct MIME type)
GET /view/{id}/v/{n}Raw mockup, one specific version
GET /api/mockupsJSON listing with limit, offset, project filter
GET /api/mockups/{id}Single mockup metadata, including its versions list; ?v={n} points view_url at that version
POST /api/mockups/{id}/versions/{n}/splitSplit that version out into its own standalone mockup
DELETE /api/mockups/{id}/versions/{n}Delete one version (refused on the last remaining one)
GET /api/projectsProject list with counts
POST /api/uploadUpload a mockup file (multipart form: file, project, title, description?, tags?, parent?, fold?) — see Versions
GET /healthHealth check

Setup

1. Clone and configure

git clone https://github.com/kgNatx/mockups-mpc.git
cd mockups-mpc

2. Deploy

Quick start (pre-built image):

docker compose -f docker-compose.local.yml up -d
# Gallery available at http://localhost:8000

Build from source:

docker compose -f docker-compose.local.yml up -d --build

Production (with Traefik):

cp .env.example .env
# Edit .env with your domain and Traefik network name
docker compose up -d --build

3. Verify

curl http://localhost:8000/health
# {"status":"ok"}

4. Connect Claude Code

claude mcp add-json mockups-gallery '{"type":"http","url":"https://your-domain.com/mcp"}'

Or add to .mcp.json (project-level) or ~/.claude/.mcp.json (global):

{
  "mcpServers": {
    "mockups-gallery": {
      "type": "http",
      "url": "https://your-domain.com/mcp"
    }
  }
}

5. Connect Claude Desktop

Add to your Claude Desktop config file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mockups-gallery": {
      "type": "sse",
      "url": "https://your-domain.com/mcp/sse"
    }
  }
}

6. Tell your AI to use it

Add instructions to your CLAUDE.md (or equivalent) so your AI uploads mockups via curl instead of passing file content through the model context:

# Mockups

When generating UI mockups, design concepts, or visual prototypes,
write the file locally then upload it to the Mockups MPC gallery via curl:

    curl -s -X POST https://your-domain.com/api/upload \
      -F file=@/path/to/file.html -F project=name -F title=name \
      [-F description=text] [-F "tags=a,b,c"]

To revise a mockup you already uploaded, add `-F parent=<id>` (the id
from the earlier upload response): the gallery keeps it as a new version
of the same design. Use `-F fold=false` only for a deliberate separate variant.

To read a mockup's content later, use `get_mockup` to get its
`view_url`, then curl it.

Add to ~/.claude/CLAUDE.md for all projects, or a project's CLAUDE.md for specific ones. The in-app Setup Guide carries the same snippet; an existing install gets the updated guide as a new version of its Setup Guide on the first start after upgrading.

Gallery UI

The gallery auto-seeds a Setup Guide as the first entry on fresh installs. The guide covers all configuration methods with copy-able code blocks.

Layout: Sidebar (project list + chronological feed with title filter + infinite scroll) + main viewer (iframe for HTML, img for images/SVG) + metadata bar + pop-out link.

Theme: Techno Chic Minimalist — Space Grotesk, cyan accents, zinc/neutral dark backgrounds.

Project Structure

app/
├── main.py          # FastAPI app, lifespan, MCP mount, router includes
├── config.py        # Settings (DATA_DIR, DB_PATH, BASE_URL from env)
├── db.py            # SQLite init + CRUD (WAL mode, aiosqlite)
├── models.py        # Pydantic models
├── storage.py       # Slug generation, file write/read/delete, 25MB limit
├── mcp_server.py    # FastMCP instance, tool logic, tool wrappers
├── seed.py          # Auto-seed setup guide on empty DB
├── routes/
│   ├── api.py       # JSON API endpoints
│   └── gallery.py   # Gallery page + raw mockup serving
├── templates/
│   └── gallery.html # Jinja2 gallery template
└── static/
    ├── style.css         # Gallery theme
    └── setup-guide.html  # Self-contained setup guide page

Development

python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
pytest tests/ -v
uvicorn app.main:app --reload

The test suite covers storage, database, MCP tools, API routes, upload, and gallery.

License

MIT — see LICENSE.

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Registryactive
Packageghcr.io/kgnatx/mockups-mpc:1.2.2
TransportSTDIO, HTTP, SSE
UpdatedMar 16, 2026
View on GitHub