WebSearch
Createdmnhlt
Provides web search capabilities to AI assistants via the Model Context Protocol (MCP).
About
WebSearch empowers AI assistants with real-time web search functionality through the Model Context Protocol. Integrating with a dedicated crawler API, it enables AI models to access and retrieve up-to-date information, enhancing their ability to provide accurate and contextually relevant responses. With its standardized protocol, WebSearch seamlessly connects AI models with the vast resources of the internet.
Key Features
- Communicates via the Model Context Protocol (MCP).
- Allows exclusion and inclusion of specific domains and terms.
- Configurable number of search results.
- 3 GitHub stars
- Integrates with a WebSearch Crawler API.
- Supports language and region filtering.
Use Cases
- Enabling AI assistants to provide up-to-date information.
- Enhancing the accuracy of AI responses with real-time web context.
- Integrating web search into AI-powered applications.