fix(mcp): return empty working memory instead of none for missing sessions

the mcp get_working_memory handler imported the fastapi route handler
from api.py which has a starlette Header() default parameter for
x_client_version. when called from mcp (not http), the Header object
is passed as-is to re.match() causing "expected string or bytes-like
object, got 'Header'".

fix: call working_memory.get_working_memory (the core function)
directly instead of the api route handler, and guard the None return
with an empty WorkingMemory.

Author: Piotr1215

agent_memory_server/config.py

@@ -358,6 +358,7 @@ class Settings(BaseSettings):
         "gpt-5-mini"  # Faster, smaller model for quick tasks like query optimization
     )
     port: int = 8000
+    mcp_host: str = "0.0.0.0"
     mcp_port: int = 9000
 
     # Vector store factory configuration

agent_memory_server/mcp.py

@@ -9,12 +9,12 @@
     create_long_term_memory as core_create_long_term_memory,
     delete_long_term_memory as core_delete_long_term_memory,
     get_long_term_memory as core_get_long_term_memory,
-    get_working_memory as core_get_working_memory,
     memory_prompt as core_memory_prompt,
     put_working_memory_core as core_put_working_memory,
     search_long_term_memory as core_search_long_term_memory,
     update_long_term_memory as core_update_long_term_memory,
 )
+from agent_memory_server import working_memory as working_memory_core
 from agent_memory_server.config import settings
 from agent_memory_server.dependencies import get_background_tasks
 from agent_memory_server.filters import (
@@ -199,6 +199,7 @@ async def run_stdio_async(self):
 
 mcp_app = FastMCP(
     "Redis Agent Memory Server",
+    host=settings.mcp_host,
     port=settings.mcp_port,
     instructions=INSTRUCTIONS,
     default_namespace=settings.default_mcp_namespace,
@@ -910,7 +911,7 @@ async def get_working_memory(
     Returns:
         Working memory containing messages, context, and structured memory records
     """
-    result = await core_get_working_memory(
+    result = await working_memory_core.get_working_memory(
         session_id=session_id, recent_messages_limit=recent_messages_limit
     )
     if result is None: