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examples/education/mcp.json

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+{
+    "mcpServers": {
+      "text_to_audio_local_sse": {
+        "url": "http://0.0.0.0:8888/sse"
+      }
+    }
+}

examples/education/mcp_server_text2audio.py

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+import numpy as np
+
+from mcp.server import FastMCP
+from pydantic import Field
+
+from aworld.utils import import_package
+from aworld.logs.util import logger
+
+# Import required packages
+import_package('gtts', install_name='gTTS')
+import_package('pyttsx3', install_name='pyttsx3')
+import_package('librosa', install_name='librosa')
+import_package('soundfile', install_name='soundfile')
+import pyttsx3
+from gtts import gTTS
+import librosa
+import soundfile as sf
+
+mcp = FastMCP("text_to_audio")
+
+@mcp.tool()
+def convert_text_to_audio(
+    text: str = Field(description="Text to convert to audio"),
+    output_file: str = Field(description="Path to the generated audio file")
+) -> str:
+    """Convert input text to audio with child-friendly settings.
+    
+    Args:
+        text: Input text to convert
+        output_file: Path to the generated audio file
+    Returns:
+        str: Path to the generated audio file
+    """
+    engine = pyttsx3.init()
+    # Set default properties for child-friendly speech
+    engine.setProperty('rate', 150)  # Slower speaking rate
+    engine.setProperty('volume', 0.9)
+    try:
+        # Use default params if none provided
+        params = {
+            "speed": 0.9,
+            "pitch": 1.1,
+            "language": "en-US",
+            "output_file": output_file,
+            "use_gtts": True
+        }
+
+        # Preprocess text for child-friendly output
+        text = _preprocess_text(text)
+        if params.get("use_gtts", False):
+            # Use gTTS for more natural sound
+            tts = gTTS(text=text, lang=params["language"], slow=True)
+            tts.save(params["output_file"])
+
+        # Post-process audio if needed (adjust volume, remove noise, etc.)
+        _post_process_audio(params["output_file"])
+        return params["output_file"]
+
+    except Exception as e:
+        logger.error("Error in text-to-audio conversion: %s", str(e))
+        raise
+
+def _preprocess_text(text: str) -> str:
+    """Preprocess text for child-friendly output.
+    
+    - Add pauses between sentences
+    - Emphasize important words
+    - Handle special characters
+    """
+    # Add slight pauses between sentences
+    text = text.replace('. ', '... ')
+    # Add emphasis on important words (can be customized)
+    text = text.replace('!', '! ... ')
+    return text
+
+def _post_process_audio(audio_file: str) -> None:
+    """Optimized post-processing for audio files."""
+    try:
+        # Load with a lower sample rate and mono channel
+        y, sr = librosa.load(audio_file, sr=16000, mono=True)
+        # Use faster normalization method
+        y_norm = y / np.max(np.abs(y))
+        # Write with optimized settings
+        sf.write(
+            audio_file,
+            y_norm,
+            sr,
+            format='mp4',
+            subtype='MP4'
+        )
+    except (IOError, ValueError, RuntimeError) as e:
+        logger.warning("Audio post-processing failed: %s", e)
+
+# Main function
+if __name__ == "__main__":
+    mcp.settings.port = 8888
+    mcp.run(transport='sse')
+
+    # text = "Hello, this is a test of the text-to-audio conversion."
+    # output_file = "output1.mp4"
+    # print(f"Converting text to audio: {text}")
+    # audio_file = convert_text_to_audio(text, output_file)
+    # print(f"Audio file saved to: {audio_file}")

examples/education/run.py

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+# coding: utf-8
+# Copyright (c) 2025 inclusionAI.
+
+from aworld.config.conf import AgentConfig
+from aworld.core.agent.base import Agent
+from aworld.runner import Runners
+
+if __name__ == '__main__':
+    agent_config = AgentConfig(
+        llm_provider="openai",
+        llm_model_name="gpt-4o",
+        llm_api_key="YOUR_API_KEY",
+        llm_base_url="http://localhost:5080"
+    )
+
+    edu_sys_prompt = "You are a helpful agent to convert text to audio for children education."
+    edu = Agent(
+        conf=agent_config,
+        name="edu_agent",
+        system_prompt=edu_sys_prompt,
+        mcp_servers=["text_to_audio_local_sse"]  # MCP server name for agent to use
+    )
+
+    # run
+    Runners.sync_run(
+        input="use text_to_audio_local_sse to convert text to audio: Hello, world!",
+        agent=edu
+    )