@ -103,5 +103,113 @@ class AppMCPServerRefreshController(Resource):
return server
class AppMCPServerGenerateDescriptionController ( Resource ) :
@setup_required
@login_required
@account_initialization_required
@get_app_model
def post ( self , app_model ) :
""" Generate MCP server description automatically based on app information """
if not current_user . is_editor :
raise NotFound ( )
from core . llm_generator . llm_generator import LLMGenerator
# Extract app information for description generation
app_name = app_model . name
app_description = app_model . description or " "
app_type = app_model . mode or " "
# Provide default descriptions if app_description is empty
if not app_description :
if app_type == " chat " :
app_description = " An interactive conversational AI application for natural language communication "
elif app_type == " completion " :
app_description = " A text generation application for creating high-quality content "
elif app_type == " agent-chat " :
app_description = " An intelligent agent application with autonomous tool capabilities "
elif app_type == " workflow " :
app_description = " A workflow-based application for automated task processing "
elif app_type == " advanced-chat " :
app_description = " An advanced conversational AI with enhanced memory and reasoning "
else :
app_description = " An AI-powered application providing intelligent assistance "
# Get key features from app configuration
key_features = " "
if app_model . app_model_config :
model_config = app_model . app_model_config . to_dict ( )
features = [ ]
# Basic app features based on mode
if app_type == " chat " :
features . append ( " Interactive chat conversations " )
elif app_type == " completion " :
features . append ( " Text generation and completion " )
elif app_type == " agent-chat " :
features . append ( " Intelligent agent with tool capabilities " )
elif app_type == " workflow " :
features . append ( " Workflow-based automation " )
elif app_type == " advanced-chat " :
features . append ( " Advanced conversational AI with memory " )
# Configuration-based features
if model_config . get ( " opening_statement " ) :
features . append ( " Custom greeting messages " )
if model_config . get ( " suggested_questions " ) :
features . append ( " Suggested conversation starters " )
if model_config . get ( " speech_to_text " , { } ) . get ( " enabled " ) :
features . append ( " Voice input support " )
if model_config . get ( " text_to_speech " , { } ) . get ( " enabled " ) :
features . append ( " Voice response output " )
if model_config . get ( " retriever_resource " ) :
features . append ( " Knowledge base integration " )
if model_config . get ( " annotation_reply " , { } ) . get ( " enabled " ) :
features . append ( " Enhanced response annotations " )
if model_config . get ( " more_like_this " , { } ) . get ( " enabled " ) :
features . append ( " Similar content suggestions " )
if model_config . get ( " sensitive_word_avoidance " , { } ) . get ( " enabled " ) :
features . append ( " Content moderation " )
# Model-based capabilities
if model_config . get ( " model " , { } ) . get ( " name " ) :
model_name = model_config . get ( " model " , { } ) . get ( " name " , " " )
if " gpt-4 " in model_name . lower ( ) :
features . append ( " Advanced reasoning capabilities " )
elif " claude " in model_name . lower ( ) :
features . append ( " Enhanced text analysis " )
key_features = " , " . join ( features ) if features else " AI-powered assistance "
try :
# Generate description using LLM
description = LLMGenerator . generate_mcp_description (
tenant_id = current_user . current_tenant_id ,
app_name = app_name ,
app_description = app_description ,
app_type = app_type ,
key_features = key_features ,
app_id = app_model . id ,
)
return { " description " : description }
except Exception as e :
# Log the error for debugging
import logging
logging . exception ( " MCP description generation failed " )
# Fallback to a basic description if generation fails
fallback_description = (
f " A { app_type or ' AI ' } application ' { app_name } ' that provides "
f " intelligent assistance and automated capabilities for enhanced "
f " user productivity and task completion. "
)
return { " description " : fallback_description , " error " : str ( e ) , " fallback " : True }
api . add_resource ( AppMCPServerController , " /apps/<uuid:app_id>/server " )
api . add_resource ( AppMCPServerRefreshController , " /apps/<uuid:server_id>/server/refresh " )
api . add_resource ( AppMCPServerGenerateDescriptionController , " /apps/<uuid:app_id>/server/generate-description " )
baonudesifeizhai
10 months ago