mcp-websearch
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A Model Context Protocol (MCP) server implementation for searching content from various Indonesian news portals and Wikipedia, deployable as a Google Cloud Function.
The Web Search MCP Server is designed to facilitate the integration of AI models with various data sources using the Model Context Protocol (MCP). This server implementation allows users to search content from Indonesian news portals and Wikipedia, providing a standardized way to connect AI models to these data sources. MCP acts as a bridge, enabling applications to provide context to LLMs in a structured manner. The server can be deployed as a Google Cloud Function, making it scalable and easy to integrate with cloud-based applications. It supports Python 3.11 and utilizes the Serper API for web search functionality. The architecture follows a client-server model, where MCP hosts can access data through lightweight MCP servers that expose specific capabilities.
Features
- Standardized Protocol: MCP provides a unified way to connect AI models to various data sources.
- Cloud Deployment: Easily deployable as a Google Cloud Function for scalability.
- Multi-Source Search: Supports searching across multiple Indonesian news portals and Wikipedia.
- Secure Data Handling: Best practices for securing data within your infrastructure.
- Flexible Integration: Allows switching between different LLM providers and vendors.
