Initial commit: Clean DSS implementation
Migrated from design-system-swarm with fresh git history.
Old project history preserved in /home/overbits/apps/design-system-swarm
Core components:
- MCP Server (Python FastAPI with mcp 1.23.1)
- Claude Plugin (agents, commands, skills, strategies, hooks, core)
- DSS Backend (dss-mvp1 - token translation, Figma sync)
- Admin UI (Node.js/React)
- Server (Node.js/Express)
- Storybook integration (dss-mvp1/.storybook)
Self-contained configuration:
- All paths relative or use DSS_BASE_PATH=/home/overbits/dss
- PYTHONPATH configured for dss-mvp1 and dss-claude-plugin
- .env file with all configuration
- Claude plugin uses ${CLAUDE_PLUGIN_ROOT} for portability
Migration completed: $(date)
🤖 Clean migration with full functionality preserved
This commit is contained in:
Digital Production Factory
625
.dss/INTERNAL_PLUGIN_MARKETPLACE.md
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625
.dss/INTERNAL_PLUGIN_MARKETPLACE.md
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@@ -0,0 +1,625 @@
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# Internal Plugin Marketplace Architecture
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**Date**: 2025-12-06
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**Status**: ✅ Analysis Complete - Server-Side Plugin Loading Recommended
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**Use Case**: Internal team use only (no external distribution)
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**Confidence**: Very High (95%+)
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**Validated By**: Gemini 3 Pro Preview (6-step thinkdeep analysis + expert validation)
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---
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## Executive Summary
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**Question**: How should we distribute plugins for internal DSS team use?
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**Answer**: **Server-Side Plugin Directory** with auto-loading via `plugin_loader.py`
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**Previous Analysis Corrected**: The GitHub-based marketplace analysis was for PUBLIC distribution. For **internal-only use**, we need a much simpler approach.
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---
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## Key Requirements (Clarified)
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1. ✅ **Internal use only** - DSS is for company team members
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2. ✅ **Own plugins only** - No external plugin installation needed
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3. ✅ **Simple distribution** - Hosted on DSS server itself
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4. ✅ **Works with REMOTE + LOCAL modes** - Same plugins for both scenarios
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5. ✅ **Zero client installation** - Plugins auto-available when connected
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---
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## Recommended Architecture: Server-Side Plugin Loading
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### Core Concept
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Instead of "installing" plugins to developer machines, **all plugins run on the DSS MCP server** and are auto-loaded on server startup.
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```
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┌─────────────────────────────────────────────────┐
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│ DSS Server (dss.overbits.luz.uy) │
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│ │
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│ ┌────────────────────────────────────────┐ │
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│ │ /plugins/ (Server-Side Directory) │ │
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│ │ ├── network-logger/ │ │
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│ │ ├── performance-analyzer/ │ │
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│ │ └── custom-workflow/ │ │
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│ └────────────────┬───────────────────────┘ │
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│ │ │
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│ ┌────────────────▼───────────────────────┐ │
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│ │ plugin_loader.py │ │
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│ │ - Scans /plugins/ on server startup │ │
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│ │ - Imports TOOLS from each plugin │ │
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│ │ - Registers with FastMCP dynamically │ │
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│ └────────────────┬───────────────────────┘ │
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│ │ │
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│ ┌────────────────▼───────────────────────┐ │
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│ │ DSS MCP Server │ │
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│ │ - Built-in tools (project, debug) │ │
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│ │ - Plugin tools (auto-discovered) │ │
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│ │ - Strategy Pattern (REMOTE/LOCAL) │ │
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│ └────────────────┬───────────────────────┘ │
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└───────────────────┼──────────────────────────────┘
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│
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│ MCP Protocol
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│
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┌──────────▼──────────┐
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│ Developer Machine │
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│ - Claude Code CLI │
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│ - Connects to MCP │
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│ - All tools ready │
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└─────────────────────┘
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```
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### Why Server-Side?
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**REMOTE Mode**:
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- ✅ MCP server on dss.overbits.luz.uy
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- ✅ Plugins execute server-side
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- ✅ Access to Shadow State API
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- ✅ No localhost access needed
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**LOCAL Mode**:
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- ✅ MCP server still on dss.overbits.luz.uy
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- ✅ Plugins use Strategy Pattern
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- ✅ LocalStrategy handles browser automation
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- ⚠️ May need reverse tunnel for localhost access (future enhancement)
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---
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## Implementation Design
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### 1. Directory Structure
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```
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/home/overbits/dss/
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├── tools/dss_mcp/
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│ ├── server.py (main MCP server)
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│ ├── plugin_loader.py (NEW - auto-discovery)
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│ ├── tools/
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│ │ ├── project_tools.py (built-in)
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│ │ └── debug_tools.py (built-in)
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│ └── plugins/ (NEW - plugin directory)
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│ ├── __init__.py
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│ ├── README.md (plugin development guide)
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│ ├── _template/ (copy-paste template)
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│ │ ├── __init__.py
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│ │ ├── tools.py
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│ │ └── README.md
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│ ├── network-logger/
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│ │ ├── __init__.py (exports TOOLS)
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│ │ ├── tools.py (implementation)
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│ │ └── README.md
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│ └── performance-analyzer/
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│ ├── __init__.py
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│ ├── tools.py
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│ └── README.md
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```
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### 2. Plugin Contract
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Every plugin MUST have an `__init__.py` that exports a `TOOLS` list.
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**Example**: `tools/dss_mcp/plugins/network-logger/__init__.py`
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```python
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"""Network Logger Plugin - Captures browser network requests."""
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from .tools import get_network_requests, analyze_network_waterfall
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# Plugin Contract:
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# - TOOLS: List of callables to register as MCP tools
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# - RESOURCES: (Optional) List of resources
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# - PROMPTS: (Optional) List of prompts
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TOOLS = [
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get_network_requests,
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analyze_network_waterfall
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]
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# Optional metadata
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__version__ = "1.0.0"
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__author__ = "DSS Team"
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__description__ = "Captures and analyzes browser network traffic"
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```
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**Example**: `tools/dss_mcp/plugins/network-logger/tools.py`
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```python
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"""Network Logger tool implementations."""
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import logging
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from typing import Dict, Any, List, Optional
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logger = logging.getLogger(__name__)
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async def get_network_requests(
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session_id: str,
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filter_type: str = "all"
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) -> List[Dict[str, Any]]:
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"""
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Get browser network requests from Shadow State.
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Args:
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session_id: Browser session ID
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filter_type: Filter by type (xhr, fetch, all)
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Returns:
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List of network request objects
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"""
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# Implementation using RemoteStrategy or LocalStrategy
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# Can access Shadow State API via /api/browser-logs/{session_id}
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logger.info(f"Fetching network requests for session {session_id}")
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# TODO: Implement actual network request retrieval
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return []
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async def analyze_network_waterfall(
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session_id: str
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) -> Dict[str, Any]:
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"""
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Analyze network request waterfall.
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Returns:
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Performance analysis with waterfall data
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"""
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logger.info(f"Analyzing network waterfall for session {session_id}")
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# TODO: Implement waterfall analysis
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return {"status": "not_implemented"}
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```
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### 3. Plugin Loader with Deferred Registration Pattern
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**File**: `tools/dss_mcp/plugin_loader.py`
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```python
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"""
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Dynamic plugin loader for DSS MCP server.
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Implements the "Deferred Registration" pattern for FastMCP:
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- Plugins define callable functions (not decorated)
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- Loader scans /plugins/ directory
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- Loader imports and collects TOOLS from each plugin
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- Server applies @mcp.tool() decorator at runtime
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"""
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import importlib
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import pkgutil
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import os
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import logging
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from pathlib import Path
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from typing import List, Callable
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logger = logging.getLogger(__name__)
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class PluginLoader:
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"""
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Loads plugins from a directory and collects their tools.
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Resiliency: If one plugin fails to load, it logs the error
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and continues with other plugins (doesn't crash the server).
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"""
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def __init__(self, plugin_dir: str):
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"""
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Initialize plugin loader.
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Args:
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plugin_dir: Absolute path to plugins directory
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"""
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self.plugin_dir = plugin_dir
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self.loaded_tools: List[Callable] = []
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self.failed_plugins: List[str] = []
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def load_plugins(self) -> List[Callable]:
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"""
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Scan plugin directory, import modules, and aggregate tools.
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Returns:
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List of callables ready to be decorated by FastMCP.
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"""
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if not os.path.exists(self.plugin_dir):
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logger.warning(f"Plugin directory not found: {self.plugin_dir}")
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return []
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logger.info(f"Scanning for plugins in {self.plugin_dir}")
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# Iterate over subdirectories in plugins/
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for module_info in pkgutil.iter_modules([self.plugin_dir]):
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if module_info.ispkg:
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self._load_single_plugin(module_info.name)
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logger.info(
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f"Plugin loading complete: "
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f"{len(self.loaded_tools)} tools from "
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f"{len(self.loaded_tools) - len(self.failed_plugins)} plugins"
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)
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if self.failed_plugins:
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logger.warning(f"Failed to load plugins: {', '.join(self.failed_plugins)}")
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return self.loaded_tools
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def _load_single_plugin(self, plugin_name: str):
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"""
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Load a single plugin by name.
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Args:
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plugin_name: Name of the plugin subdirectory
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"""
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try:
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# Dynamic import: tools.dss_mcp.plugins.<plugin_name>
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# This assumes the server runs from project root
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module_path = f"tools.dss_mcp.plugins.{plugin_name}"
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module = importlib.import_module(module_path)
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# Check plugin contract
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if hasattr(module, "TOOLS") and isinstance(module.TOOLS, list):
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self.loaded_tools.extend(module.TOOLS)
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# Log plugin metadata if available
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version = getattr(module, "__version__", "unknown")
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description = getattr(module, "__description__", "")
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logger.info(
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f"✓ Loaded plugin '{plugin_name}' v{version}: "
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f"{len(module.TOOLS)} tools"
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)
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if description:
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logger.info(f" └─ {description}")
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else:
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logger.warning(
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f"✗ Plugin '{plugin_name}' skipped: "
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f"No 'TOOLS' list found in __init__.py"
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)
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self.failed_plugins.append(plugin_name)
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except Exception as e:
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# CRITICAL: Do not crash the server for a bad plugin
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logger.error(
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f"✗ Failed to load plugin '{plugin_name}': {str(e)}",
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exc_info=True
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)
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self.failed_plugins.append(plugin_name)
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```
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### 4. Server Integration
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**File**: `tools/dss_mcp/server.py` (update)
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```python
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"""DSS MCP Server with dynamic plugin loading."""
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import os
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from mcp.server.fastmcp import FastMCP
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# Import built-in tools
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from .tools.project_tools import PROJECT_TOOLS
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from .tools.debug_tools import DEBUG_TOOLS
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# Import plugin loader
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from .plugin_loader import PluginLoader
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# Initialize FastMCP
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mcp = FastMCP("DSS Core")
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# Initialize Plugin Loader
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plugin_path = os.path.join(os.path.dirname(__file__), "plugins")
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loader = PluginLoader(plugin_path)
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# Load plugins
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discovered_tools = loader.load_plugins()
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# Register all tools dynamically
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# FastMCP requires us to apply the decorator manually
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for tool_func in discovered_tools:
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# Apply @mcp.tool() decorator to each discovered function
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mcp.tool()(tool_func)
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|
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# Also register built-in tools
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for tool_func in PROJECT_TOOLS + DEBUG_TOOLS:
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mcp.tool()(tool_func)
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|
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# ... rest of server startup ...
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```
|
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|
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---
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|
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## Implementation Plan
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### Phase 1: Plugin Loader (1 day) - 🔴 CRITICAL
|
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|
||||
**Files to create**:
|
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1. `tools/dss_mcp/plugin_loader.py` (complete implementation above)
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2. `tools/dss_mcp/plugins/__init__.py` (empty)
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3. `tools/dss_mcp/plugins/README.md` (plugin development guide)
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|
||||
**Files to update**:
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1. `tools/dss_mcp/server.py` (integrate plugin loader)
|
||||
|
||||
**Testing**:
|
||||
```bash
|
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# Create test plugin
|
||||
mkdir -p tools/dss_mcp/plugins/test_plugin
|
||||
cat > tools/dss_mcp/plugins/test_plugin/__init__.py << 'EOF'
|
||||
async def hello_dss():
|
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"""Test plugin tool."""
|
||||
return "Hello from test plugin!"
|
||||
|
||||
TOOLS = [hello_dss]
|
||||
EOF
|
||||
|
||||
# Restart MCP server
|
||||
sudo supervisorctl restart dss-mcp
|
||||
|
||||
# Verify plugin loaded (check logs)
|
||||
tail -f /var/log/supervisor/dss-mcp.log
|
||||
```
|
||||
|
||||
### Phase 2: Plugin Directory Structure (0.5 day)
|
||||
|
||||
**Create plugin template**:
|
||||
|
||||
`tools/dss_mcp/plugins/_template/__init__.py`:
|
||||
```python
|
||||
"""
|
||||
Template Plugin - Copy this directory to create new plugins.
|
||||
|
||||
Steps:
|
||||
1. Copy _template/ to your-plugin-name/
|
||||
2. Update __init__.py with your plugin metadata
|
||||
3. Implement your tools in tools.py
|
||||
4. Export TOOLS list with your tool functions
|
||||
5. Restart MCP server: sudo supervisorctl restart dss-mcp
|
||||
"""
|
||||
|
||||
from .tools import example_tool
|
||||
|
||||
TOOLS = [
|
||||
example_tool
|
||||
]
|
||||
|
||||
__version__ = "1.0.0"
|
||||
__author__ = "Your Name"
|
||||
__description__ = "Description of what your plugin does"
|
||||
```
|
||||
|
||||
`tools/dss_mcp/plugins/_template/tools.py`:
|
||||
```python
|
||||
"""Plugin tool implementations."""
|
||||
|
||||
import logging
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
async def example_tool(input_param: str) -> dict:
|
||||
"""
|
||||
Example tool function.
|
||||
|
||||
Args:
|
||||
input_param: Description of parameter
|
||||
|
||||
Returns:
|
||||
Result dictionary
|
||||
"""
|
||||
logger.info(f"Example tool called with: {input_param}")
|
||||
|
||||
# Your implementation here
|
||||
return {
|
||||
"status": "success",
|
||||
"result": f"Processed: {input_param}"
|
||||
}
|
||||
```
|
||||
|
||||
### Phase 3: Example Plugins (1 day)
|
||||
|
||||
Create 2-3 real-world plugins:
|
||||
|
||||
1. **network-logger** - Captures network requests via Shadow State
|
||||
2. **performance-analyzer** - Analyzes performance metrics
|
||||
3. **workflow-helper** - Common workflow shortcuts
|
||||
|
||||
### Phase 4: Optional Discovery API (0.5 day)
|
||||
|
||||
Add to `tools/api/server.py`:
|
||||
|
||||
```python
|
||||
@app.get("/api/plugins/list")
|
||||
async def list_plugins():
|
||||
"""List all available server-side plugins."""
|
||||
plugins_dir = Path("/home/overbits/dss/tools/dss_mcp/plugins")
|
||||
plugins = []
|
||||
|
||||
for plugin_dir in plugins_dir.iterdir():
|
||||
if plugin_dir.is_dir() and not plugin_dir.name.startswith('_'):
|
||||
try:
|
||||
# Import to get metadata
|
||||
module_name = f"tools.dss_mcp.plugins.{plugin_dir.name}"
|
||||
module = importlib.import_module(module_name)
|
||||
|
||||
plugins.append({
|
||||
"id": plugin_dir.name,
|
||||
"name": plugin_dir.name.replace('-', ' ').title(),
|
||||
"version": getattr(module, '__version__', 'unknown'),
|
||||
"author": getattr(module, '__author__', 'unknown'),
|
||||
"description": getattr(module, '__description__', ''),
|
||||
"tools_count": len(getattr(module, 'TOOLS', []))
|
||||
})
|
||||
except Exception as e:
|
||||
logger.error(f"Error reading plugin {plugin_dir.name}: {e}")
|
||||
|
||||
return {"plugins": plugins}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Developer Workflow
|
||||
|
||||
### Adding a New Plugin
|
||||
|
||||
```bash
|
||||
# 1. Copy template
|
||||
cd /home/overbits/dss/tools/dss_mcp/plugins
|
||||
cp -r _template my-new-plugin
|
||||
|
||||
# 2. Edit plugin files
|
||||
vim my-new-plugin/__init__.py
|
||||
# Update metadata (__version__, __author__, __description__)
|
||||
# Update TOOLS list
|
||||
|
||||
vim my-new-plugin/tools.py
|
||||
# Implement your tool functions
|
||||
|
||||
# 3. Restart MCP server
|
||||
sudo supervisorctl restart dss-mcp
|
||||
|
||||
# 4. Verify plugin loaded
|
||||
tail -20 /var/log/supervisor/dss-mcp.log | grep "my-new-plugin"
|
||||
|
||||
# 5. Test from Claude Code
|
||||
# All tools should now be available automatically!
|
||||
```
|
||||
|
||||
### Using Plugins (Developer Perspective)
|
||||
|
||||
```python
|
||||
# Developer connects to DSS MCP server
|
||||
# All plugins auto-available, no installation needed!
|
||||
|
||||
# Example: Use network logger plugin
|
||||
result = await get_network_requests(
|
||||
session_id="abc123",
|
||||
filter_type="xhr"
|
||||
)
|
||||
|
||||
# Example: Analyze performance
|
||||
analysis = await analyze_network_waterfall(session_id="abc123")
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Key Advantages
|
||||
|
||||
1. ✅ **Zero Client Setup** - No installation on developer machines
|
||||
2. ✅ **Central Management** - Update plugins server-side, all devs get new version
|
||||
3. ✅ **Instant Availability** - Connect to MCP → all plugins ready
|
||||
4. ✅ **Team Consistency** - Everyone uses exact same toolset
|
||||
5. ✅ **Simple Development** - Copy template, edit, restart server
|
||||
6. ✅ **Works with REMOTE/LOCAL** - Plugins use Strategy Pattern
|
||||
7. ✅ **Resilient** - Bad plugin doesn't crash server
|
||||
8. ✅ **No External Dependencies** - Everything internal
|
||||
|
||||
---
|
||||
|
||||
## Security & Access Control
|
||||
|
||||
### For Internal Use:
|
||||
|
||||
- ✅ **No authentication** needed for plugin loading (trusted code)
|
||||
- ✅ **File permissions** on `/plugins/` directory (dev team only)
|
||||
- ✅ **Access control** at MCP server level (who can connect)
|
||||
- ✅ **Code review** before adding to `/plugins/` (team process)
|
||||
|
||||
### Security Note:
|
||||
|
||||
Since this is **internal-only**:
|
||||
- All code in `/plugins/` is trusted (written by team)
|
||||
- No sandboxing needed (not running untrusted code)
|
||||
- Simple file permissions sufficient (Unix permissions)
|
||||
|
||||
---
|
||||
|
||||
## Comparison: Previous vs Current Approach
|
||||
|
||||
| Aspect | GitHub Marketplace (Previous) | Server-Side Loading (Current) |
|
||||
|--------|-------------------------------|-------------------------------|
|
||||
| **Use Case** | Public distribution | Internal team use |
|
||||
| **Installation** | Client downloads | Zero installation |
|
||||
| **Updates** | Each dev updates | Server-side only |
|
||||
| **Complexity** | High (GitHub integration) | Low (file-based) |
|
||||
| **Implementation** | 5-7 days | 2-3 days |
|
||||
| **Maintenance** | Ongoing (registry API) | Minimal (add files) |
|
||||
| **Developer UX** | Multi-step install | Instant availability |
|
||||
| **Consistency** | Version mismatches | Always same version |
|
||||
|
||||
---
|
||||
|
||||
## Future Enhancements
|
||||
|
||||
### Possible Additions (Not Required Initially):
|
||||
|
||||
1. **Hot Reloading** - Reload plugins without server restart
|
||||
- Use `importlib.reload()` with file watching
|
||||
- WATCH OUT: Python caching issues
|
||||
|
||||
2. **Plugin Dependencies** - Handle inter-plugin dependencies
|
||||
- Add `REQUIRES = ['other-plugin']` to contract
|
||||
- Load in dependency order
|
||||
|
||||
3. **Plugin Versioning** - Semantic versioning and compatibility
|
||||
- Check `__min_server_version__` before loading
|
||||
- Warn on incompatible plugins
|
||||
|
||||
4. **Local Proxy Agent** - For LOCAL mode localhost access
|
||||
- Lightweight agent on developer machine
|
||||
- Reverse tunnel or SSH forwarding
|
||||
- Enables LOCAL browser automation from server-side plugins
|
||||
|
||||
---
|
||||
|
||||
## Expert Validation Summary
|
||||
|
||||
From Gemini 3 Pro Preview analysis:
|
||||
|
||||
> "This is a robust architectural pivot. Moving from a hypothetical 'GitHub Marketplace' to a concrete **Server-Side Plugin Loader** significantly reduces complexity while solving the immediate requirement: extending DSS capabilities without managing client-side installations."
|
||||
|
||||
**Key Validation Points**:
|
||||
|
||||
1. ✅ **Deferred Registration Pattern** correctly identified for FastMCP
|
||||
2. ✅ **Resiliency Core** with try/except to prevent bad plugins crashing server
|
||||
3. ✅ **Plugin Contract** with TOOLS list export pattern
|
||||
4. ✅ **Naming Collision Risk** noted (mitigated by team discipline)
|
||||
5. ✅ **Dependency Risk** handled via try/except and logging
|
||||
6. ✅ **Hot Reloading** correctly identified as risky (use supervisord restart)
|
||||
|
||||
---
|
||||
|
||||
## Next Steps
|
||||
|
||||
**Priority Order**:
|
||||
|
||||
1. **🔴 Phase 1** - Create `plugin_loader.py` (1 day)
|
||||
2. **🟡 Phase 2** - Create plugin directory structure (0.5 day)
|
||||
3. **🟢 Phase 3** - Create example plugins (1 day)
|
||||
4. **🔵 Phase 4** - Optional discovery API (0.5 day)
|
||||
|
||||
**Total Effort**: 2-3 days for complete implementation
|
||||
|
||||
**Start With**: Phase 1 - implement and test plugin_loader.py with a single test plugin.
|
||||
|
||||
---
|
||||
|
||||
**Status**: ✅ Ready for Implementation
|
||||
**Confidence**: Very High (95%+)
|
||||
**Last Updated**: 2025-12-06
|
||||
Reference in New Issue
Block a user