feat(analysis): Implement project analysis engine and CI/CD workflow

This commit introduces a new project analysis engine to the DSS.

Key features include:
- A new analysis module in `dss-mvp1/dss/analyze` that can parse React projects and generate a dependency graph.
- A command-line interface (`dss-mvp1/dss-cli.py`) to run the analysis, designed for use in CI/CD pipelines.
- A new `dss_project_export_context` tool in the Claude MCP server to allow AI agents to access the analysis results.
- A `.gitlab-ci.yml` file to automate the analysis on every push, ensuring the project context is always up-to-date.
- Tests for the new analysis functionality.

This new architecture enables DSS to have a deep, version-controlled understanding of a project's structure, which can be used to power more intelligent agents and provide better developer guidance. The analysis is no longer automatically triggered on `init`, but is designed to be run manually or by a CI/CD pipeline.

tools/dss_mcp/handler.py

@@ -26,6 +26,7 @@ from storage.json_store import Projects, ActivityLog
 from .config import mcp_config, integration_config
 from .context.project_context import get_context_manager, ProjectContext
 from .tools.project_tools import PROJECT_TOOLS, ProjectTools
+from .tools.analysis_tools import ANALYSIS_TOOLS, AnalysisTools
 from .integrations.figma import FIGMA_TOOLS, FigmaTools
 from .integrations.storybook import STORYBOOK_TOOLS, StorybookTools
 from .integrations.jira import JIRA_TOOLS, JiraTools
@@ -86,6 +87,14 @@ class MCPHandler:
                 "requires_integration": False
             }
 
+        # Register analysis tools
+        for tool in ANALYSIS_TOOLS:
+            self._tool_registry[tool.name] = {
+                "tool": tool,
+                "category": "analysis",
+                "requires_integration": False
+            }
+
         # Register Figma tools
         for tool in FIGMA_TOOLS:
             self._tool_registry[tool.name] = {
@@ -212,6 +221,8 @@ class MCPHandler:
             # Execute based on category
             if category == "project":
                 result = await self._execute_project_tool(tool_name, arguments, context)
+            elif category == "analysis":
+                result = await self._execute_analysis_tool(tool_name, arguments, context)
             elif category == "figma":
                 result = await self._execute_figma_tool(tool_name, arguments, context)
             elif category == "storybook":
@@ -293,6 +304,20 @@ class MCPHandler:
         project_tools = ProjectTools(context.user_id)
         return await project_tools.execute_tool(tool_name, arguments)
 
+    async def _execute_analysis_tool(
+        self,
+        tool_name: str,
+        arguments: Dict[str, Any],
+        context: MCPContext
+    ) -> Dict[str, Any]:
+        """Execute an analysis tool"""
+        # Ensure project_id is set for context if needed, though project_path is explicit
+        if "project_id" not in arguments:
+            arguments["project_id"] = context.project_id
+            
+        analysis_tools = AnalysisTools(context.user_id)
+        return await analysis_tools.execute_tool(tool_name, arguments)
+
     async def _execute_figma_tool(
         self,
         tool_name: str,