Web Search Mcp

@mukaon 10 months ago

1 Apache-2.0

FreeCommunity

AI Systems

MCP server for web searches

What is Web Search Mcp

web-search-mcp is an MCP server designed for performing web searches efficiently.

Use cases

Use cases for web-search-mcp include integrating web search functionality into applications, conducting data scraping for analysis, and enhancing user experience in search-related applications.

How to use

To use web-search-mcp, configure the necessary environment variables in a .env file or directly as environment variables. You need to set the SERPER_API_KEY from serper.dev and specify the PORT for the server to listen on. Then, start the server using ‘docker compose up’.

Key features

Key features of web-search-mcp include easy configuration through environment variables, support for Docker for easy deployment, and the ability to perform web searches using the Serper API.

Where to use

web-search-mcp can be used in various fields such as web development, data analysis, and any application that requires efficient web search capabilities.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Web Search Mcp

web-search-mcp is an MCP server designed for performing web searches efficiently.

Use cases

Use cases for web-search-mcp include integrating web search functionality into applications, conducting data scraping for analysis, and enhancing user experience in search-related applications.

How to use

Key features

Key features of web-search-mcp include easy configuration through environment variables, support for Docker for easy deployment, and the ability to perform web searches using the Serper API.

Where to use

web-search-mcp can be used in various fields such as web development, data analysis, and any application that requires efficient web search capabilities.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

web-search-mcp

MCP server for web searches

Configuration

Configure environment variables in a .env file or as env variables (see docker-compose.yaml)

Set SERPER_API_KEY from serper.dev
Set PORT to specify the listening port

Running

You can use docker compose up to start the MCP server.

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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