Web Search MCP 服务器

what is Web Search MCP Server? Web Search MCP Server is a network search server implemented using the Model Context Protocol (MCP), providing a tool interface for web search functionality. how to use Web Search MCP Server? To use the Web Search MCP Server, ensure you have Python 3.10 or higher installed, configure the environment variables in the .env file, install the dependencies listed in pyproject.toml, and run the server using uv run main.py. key features of Web Search MCP Server? Asynchronous network search interface Error handling and result parsing support Environment variable configuration for API keys Standard input/output (stdio) as a transport method use cases of Web Search MCP Server? Performing web searches using AI-powered search API. Integrating search functionality into applications. Debugging and testing search queries in development environments. FAQ from Web Search MCP Server? What is the main purpose of this server? The server provides a tool for performing web searches using an AI search API. How do I configure the API key? You need to set the BIGMODEL_API_KEY in the .env file. What programming language is used? The server is implemented in Python, requiring version 3.10 or higher.