Only description strings changed to tell AI the content is Markdown
format (.md). The actual handler still reads/writes README.txt for
Web UI compatibility.
- Use FastMCP (Anthropic MCP SDK) for tool registration and SSE transport
- Mount SSE app under /v3/mcp/transport with JWT token authentication
- Token passed via ?token=<jwt> query parameter on SSE connection
- Token validated against GNS3 auth_service and stored in contextvars
- Tool handlers create Gns3Connector with JWT token to call GNS3 REST API
- 7 project tools: list_projects, get_project, create_project, delete_project,
open_project, close_project, get_project_stats
- Unauthenticated SSE connections return 401
- Add MCPTool/MCPToolRegistry system for centralized tool registration
- Add 7 project-related MCP tools: list_projects, get_project, create_project,
delete_project, open_project, close_project, get_project_stats
- Tools use Gns3Connector (custom_gns3fy) to call GNS3 REST API via HTTP loopback,
keeping the MCP layer decoupled from controller internals
- Handlers run in thread pool via asyncio.to_thread() to avoid blocking
the event loop on synchronous requests calls
- Unified POST /v3/mcp/execute endpoint with JWT authentication
