WebSearch-MCP is a server implementing MCP to enable AI models like Claude to perform real-time web searches. It connects with a web crawler API to retrieve up-to-date search results, facilitating dynamic information access for AI assistants.
Added on:
Created by:
Mar 28 2025
WebSearch-MCP is a server implementing MCP to enable AI models like Claude to perform real-time web searches. It connects with a web crawler API to retrieve up-to-date search results, facilitating dynamic information access for AI assistants.
Added on:
Created by:
Mar 28 2025
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What is WebSearch-MCP?
WebSearch-MCP is a self-hosted Model Context Protocol server designed to give AI systems web search functionalities. It acts as an intermediary between the AI and a WebSearch Crawler API, enabling retrieval of current information from the internet. This setup allows AI models to query the web directly, providing relevant search results in real-time, which enhances their responsiveness and knowledge base. The MCP server communicates using stdio transport and supports customization through environment variables for API endpoints and search result limits. It is suitable for developers integrating web search into AI workflows, research projects requiring real-time data access, and applications needing dynamic web content retrieval.
Who will use WebSearch-MCP?
- AI developers integrating web search capabilities
- Research and data professionals needing real-time information
- Organizations deploying AI assistants with internet access
How to use the WebSearch-MCP?
- Step 1: Configure environment variables such as API_URL and MAX_SEARCH_RESULT.
- Step 2: Set up the Crawler API with Docker Compose or other methods.
- Step 3: Start the MCP server and verify its health endpoint.
- Step 4: Integrate MCP with your AI client according to the provided configuration template.
- Step 5: Use the web_search tool with query parameters to perform searches.
WebSearch-MCP's Core Features & Benefits
The Core Features
- Web search over the internet using a crawler API
- Configurable search result limits
- Supports different language and region settings
- Customizable through environment variables
- Operates via stdio transport for integration
The Benefits
- Enables AI to access real-time web data
- Flexible configuration for different deployment needs
- Supports integration with various AI clients and platforms
- Provides up-to-date search results for enhanced responses
- Self-hosted for privacy and control
WebSearch-MCP's Main Use Cases & Applications
- Enhancing AI assistants with live web search capabilities
- Research projects requiring current online data
- Dynamic content retrieval for chatbots and virtual agents
- Knowledge base enrichment with web information
- Automated web data collection and analysis
FAQs of WebSearch-MCP
Developer
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