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baidu-ai-search

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by baidubce
README.md2.31 kB
# MCP Component Server The MCP Component Server is a FastMCP server based implementation that converts AppBuilder Components into FastMCP tools, enabling seamless integration of Baidu cloud AI services into MCP-compatible environments. ## Overview The `MCPComponentServer` class provides a bridge between AppBuilder Components and FastMCP tools, allowing you to: - Convert AppBuilder Components into MCP-compatible tools - Handle various content types (text, images, audio, references) - Manage visibility scopes for different audiences - Support streaming responses through generators ## Features - Automatic conversion of AppBuilder Components to MCP tools - Support for multiple content types: - Text content - Image content - Audio content - Reference content - Configurable host and port settings - Built-in error handling and logging - Support for custom tool registration - Automatic MIME type detection for media content ## Usage ### Basic Setup ```python from appbuilder import GeneralOCR, TextGeneration from mcp.server import MCPComponentServer # Create server instance server = MCPComponentServer("AI Service", host="localhost", port=8000) # Add AppBuilder components ocr = GeneralOCR() server.add_component(ocr) text_gen = TextGeneration() server.add_component(text_gen) # Run the server server.run() ``` ### Adding Custom Tools ```python @server.tool() def custom_function(param1: str, param2: int) -> str: """Custom tool description""" return f"Processed: {param1} {param2}" ``` ### Adding Resources ```python @server.resource() def get_resource(): """Resource description""" return {"data": "resource content"} ``` ## Content Type Handling The server automatically handles various content types: 1. **Text Content**: Converts text outputs to MCP TextContent 2. **Image Content**: Handles both base64 and URL-based images 3. **Audio Content**: Processes audio files with automatic MIME type detection 4. **Reference Content**: Manages document references and citations ## Configuration The server can be configured with various parameters: ```python server = MCPComponentServer( name="Service Name", host="localhost", # Default: "localhost" port=8000, # Default: 8000 **kwargs # Additional FastMCP arguments ) ```

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