feat(execute_code): add native/poll/auto execution modes for long-run…

mcpb/manifest.json

@@ -51,11 +51,15 @@
         },
         {
             "name": "execute_code",
-            "description": "Execute Python code against the OpenSTAAD API in a sandboxed environment."
+            "description": "Execute Python code against the OpenSTAAD API in a sandboxed environment. Supports a progress callback and long-running/background execution."
         },
         {
             "name": "get_status",
-            "description": "Check the connection to STAAD.Pro. Returns connection state, STAAD version, model path, and analysis status."
+            "description": "Check the connection to STAAD.Pro. Returns connection state, STAAD version, model path, analysis status, and whether the executor is busy."
+        },
+        {
+            "name": "get_job_result",
+            "description": "Wait for a background `execute_code` job (started with `mode='poll'`) and return its progress or final result."
         }
     ],
     "tools_generated": false,

mcpb/openstaad-mcp.spec

@@ -11,7 +11,7 @@ STAAD skills content.
 import os
 from pathlib import Path
 
-from PyInstaller.utils.hooks import copy_metadata
+from PyInstaller.utils.hooks import collect_all, copy_metadata
 
 block_cipher = None
 
@@ -30,11 +30,16 @@ if skills_dir.exists():
 # Include distribution metadata so frozen builds can resolve it.
 package_metadata = copy_metadata("fastmcp")
 
+# fastmcp bundles `docket`, whose memory client backend dynamically imports
+# `burner_redis` (a native extension) via importlib at lifespan startup.
+# PyInstaller's static analysis misses this, so collect it explicitly.
+burner_datas, burner_binaries, burner_hiddenimports = collect_all("burner_redis")
+
 a = Analysis(
     [str(ROOT / "src" / "openstaad_mcp" / "main.py")],
     pathex=[str(ROOT / "src")],
-    binaries=[],
-    datas=skills_data + package_metadata,
+    binaries=burner_binaries,
+    datas=skills_data + package_metadata + burner_datas,
     hiddenimports=[
         "openstaad_mcp",
         "openstaad_mcp.server",
@@ -45,7 +50,8 @@ a = Analysis(
         "openstaadpy.os_analytical",
         "uvicorn",
         "fastmcp",
-    ],
+    ]
+    + burner_hiddenimports,
     hookspath=[],
     hooksconfig={},
     runtime_hooks=[],

pyproject.toml

@@ -22,7 +22,7 @@ classifiers = [
     "License :: OSI Approved :: MIT License",
 ]
 dependencies = [
-    "fastmcp>=3.2.3,<4",
+    "fastmcp[tasks]>=3.2.3,<4",
     "packaging>=24",
     "starlette>=1.0.0,<2.0.0",
     "pydantic>=2,<3",