Update the MCP configuration, replace the hardcoding value with server_reference in config, and add the MCPSettings class in config.py to support MCP configuration.

app/config.py

@@ -90,6 +90,14 @@ class SandboxSettings(BaseModel):
     )
 
 
+class MCPSettings(BaseModel):
+    """Configuration for MCP (Model Context Protocol)"""
+
+    server_reference: str = Field(
+        "app.mcp.server", description="Module reference for the MCP server"
+    )
+
+
 class AppConfig(BaseModel):
     llm: Dict[str, LLMSettings]
     sandbox: Optional[SandboxSettings] = Field(
@@ -101,6 +109,7 @@ class AppConfig(BaseModel):
     search_config: Optional[SearchSettings] = Field(
         None, description="Search configuration"
     )
+    mcp_config: Optional[MCPSettings] = Field(None, description="MCP configuration")
 
     class Config:
         arbitrary_types_allowed = True
@@ -203,6 +212,13 @@ class Config:
         else:
             sandbox_settings = SandboxSettings()
 
+        mcp_config = raw_config.get("mcp", {})
+        mcp_settings = None
+        if mcp_config:
+            mcp_settings = MCPSettings(**mcp_config)
+        else:
+            mcp_settings = MCPSettings()
+
         config_dict = {
             "llm": {
                 "default": default_settings,
@@ -214,6 +230,7 @@ class Config:
             "sandbox": sandbox_settings,
             "browser_config": browser_settings,
             "search_config": search_settings,
+            "mcp_config": mcp_settings,
         }
 
         self._config = AppConfig(**config_dict)
@@ -234,6 +251,11 @@ class Config:
     def search_config(self) -> Optional[SearchSettings]:
         return self._config.search_config
 
+    @property
+    def mcp_config(self) -> MCPSettings:
+        """Get the MCP configuration"""
+        return self._config.mcp_config
+
     @property
     def workspace_root(self) -> Path:
         """Get the workspace root directory"""

config/config.example.toml

@@ -1,10 +1,10 @@
 # Global LLM configuration
 [llm]
-model = "claude-3-7-sonnet-20250219"        # The LLM model to use
-base_url = "https://api.anthropic.com/v1/"  # API endpoint URL
-api_key = "YOUR_API_KEY"                    # Your API key
-max_tokens = 8192                           # Maximum number of tokens in the response
-temperature = 0.0                           # Controls randomness
+model = "claude-3-7-sonnet-20250219"       # The LLM model to use
+base_url = "https://api.anthropic.com/v1/" # API endpoint URL
+api_key = "YOUR_API_KEY"                   # Your API key
+max_tokens = 8192                          # Maximum number of tokens in the response
+temperature = 0.0                          # Controls randomness
 
 # [llm] # Amazon Bedrock
 # api_type = "aws"                                       # Required
@@ -33,11 +33,11 @@ temperature = 0.0                           # Controls randomness
 
 # Optional configuration for specific LLM models
 [llm.vision]
-model = "claude-3-7-sonnet-20250219"        # The vision model to use
-base_url = "https://api.anthropic.com/v1/"  # API endpoint URL for vision model
-api_key = "YOUR_API_KEY"                    # Your API key for vision model
-max_tokens = 8192                           # Maximum number of tokens in the response
-temperature = 0.0                           # Controls randomness for vision model
+model = "claude-3-7-sonnet-20250219"       # The vision model to use
+base_url = "https://api.anthropic.com/v1/" # API endpoint URL for vision model
+api_key = "YOUR_API_KEY"                   # Your API key for vision model
+max_tokens = 8192                          # Maximum number of tokens in the response
+temperature = 0.0                          # Controls randomness for vision model
 
 # [llm.vision] #OLLAMA VISION:
 # api_type = 'ollama'
@@ -90,3 +90,7 @@ temperature = 0.0                           # Controls randomness for vision mod
 #cpu_limit = 2.0
 #timeout = 300
 #network_enabled = true
+
+# MCP (Model Context Protocol) configuration
+[mcp]
+server_reference = "app.mcp.server" # default server module reference

run_mcp.py

@@ -13,7 +13,7 @@ class MCPRunner:
 
     def __init__(self):
         self.root_path = config.root_path
-        self.server_reference = "app.mcp.server"
+        self.server_reference = config.mcp_config.server_reference
         self.agent = MCPAgent()
 
     async def initialize(