feat(mcp): support mcp resources (#2215)

* feat(mcp): support mcp resources

* feat(web): split MCP resources into tab

* docs: add MCP resources PR review

* feat(mcp): productionize resource support

* feat(mcp): scope local agent tools and resources

* fix(web): gate space embedding models behind login

* fix(web): prevent clipped space model CTA

* test: update preproc resource tool expectations

* fix(web): expose skill authoring tools in selector

---------

Co-authored-by: yang.xiang <yang.xiang@advancegroup.com>
Co-authored-by: Hyu <chenhyu@proton.me>
Co-authored-by: Junyan Qin <rockchinq@gmail.com>

src/langbot/pkg/provider/tools/loaders/plugin.py

@@ -33,6 +33,24 @@ class PluginToolLoader(loader.ToolLoader):
 
         return all_functions
 
+    async def get_tool_catalog(self, bound_plugins: list[str] | None = None) -> list[dict[str, typing.Any]]:
+        catalog: list[dict[str, typing.Any]] = []
+
+        for tool in await self.ap.plugin_connector.list_tools(bound_plugins):
+            catalog.append(
+                {
+                    'name': tool.metadata.name,
+                    'description': tool.spec['llm_prompt'],
+                    'human_desc': tool.metadata.description.en_US,
+                    'parameters': tool.spec['parameters'],
+                    'source': 'plugin',
+                    'source_name': tool.owner,
+                    'source_id': tool.owner,
+                }
+            )
+
+        return catalog
+
     async def has_tool(self, name: str) -> bool:
         """检查工具是否存在"""
         for tool in await self.ap.plugin_connector.list_tools():