feat: sync

packages/tf-sync/src/tf_sync/mcp.py

@@ -1,12 +1,17 @@
 """
 MCP server sync module for tfcode.
-Uses the official ToothFairyAI Python SDK.
+
+NOTE: MCP servers are not currently exposed via the ToothFairyAI SDK.
+This module is reserved for future implementation when MCP server
+discovery is added to the SDK.
+
+For now, MCP servers should be configured manually via tfcode.json.
 """
 
 from pydantic import BaseModel
 
 from tf_sync.config import TFConfig
-from tf_sync.tools import SyncedTool, sync_tools, ToolType
+from tf_sync.tools import SyncedTool, ToolType
 
 
 class MCPServerSyncResult(BaseModel):
@@ -21,34 +26,16 @@ def sync_mcp_servers(config: TFConfig) -> MCPServerSyncResult:
     """
     Sync MCP servers from ToothFairyAI workspace.
     
-    MCP servers are tools with isMCPServer=true.
-    Credentials stay in TF and are accessed via tf_proxy.
+    NOTE: Currently not supported. MCP servers are not exposed via the SDK.
+    Configure MCP servers manually in tfcode.json instead.
     
     Args:
         config: TFConfig instance
     
     Returns:
-        MCPServerSyncResult with synced MCP servers
+        MCPServerSyncResult with error message
     """
-    result = sync_tools_by_type(config, [ToolType.MCP_SERVER])
-    
-    if not result.success:
-        return MCPServerSyncResult(
-            success=False,
-            error=result.error,
-        )
-    
-    # Get MCP servers from tools with isMCPServer
-    mcp_servers = [
-        t for t in result.tools 
-        if t.is_mcp_server
-    ]
-    
     return MCPServerSyncResult(
-        success=True,
-        servers=mcp_servers,
-    )
-
-
-# Import from tools module
-from tf_sync.tools import sync_tools_by_type
+        success=False,
+        error="MCP server sync not available via SDK. Configure MCP servers in tfcode.json.",
+    )