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Deep Search Mcp
What is Deep Search Mcp
deep-search-mcp is a deep web search MCP server that utilizes the LinkUp API to provide structured search results and tools for performing deep web searches.
Use cases
Use cases for deep-search-mcp include academic research requiring deep web data, businesses looking to gather competitive intelligence, and developers needing to integrate deep web search capabilities into their applications.
How to use
To use deep-search-mcp, install the dependencies with ‘npm install’, build the server using ‘npm run build’, and configure it in your settings with the necessary API key. You can run it in development mode with ‘npm run watch’ or in production with ‘npm start’.
Key features
Key features include the ‘deep_search’ tool for performing deep web searches with customizable parameters, structured results from the LinkUp API, and future enhancements like caching, pagination, and filtering options.
Where to use
deep-search-mcp can be used in various fields such as research, data mining, and any application requiring access to deep web information that is not indexed by standard search engines.
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.
Overview
What is Deep Search Mcp
deep-search-mcp is a deep web search MCP server that utilizes the LinkUp API to provide structured search results and tools for performing deep web searches.
Use cases
Use cases for deep-search-mcp include academic research requiring deep web data, businesses looking to gather competitive intelligence, and developers needing to integrate deep web search capabilities into their applications.
How to use
To use deep-search-mcp, install the dependencies with ‘npm install’, build the server using ‘npm run build’, and configure it in your settings with the necessary API key. You can run it in development mode with ‘npm run watch’ or in production with ‘npm start’.
Key features
Key features include the ‘deep_search’ tool for performing deep web searches with customizable parameters, structured results from the LinkUp API, and future enhancements like caching, pagination, and filtering options.
Where to use
deep-search-mcp can be used in various fields such as research, data mining, and any application requiring access to deep web information that is not indexed by standard search engines.
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.
Content
Deep Search MCP Server
A deep web search MCP server using LinkUp API.
This is a TypeScript-based MCP server that implements deep web search capabilities. It demonstrates core MCP concepts by providing:
- Tools for performing deep web searches
- Structured results from LinkUp API
Features
Tools
deep_search- Perform deep web searches- Takes query string as required parameter
- Optional max_results parameter (default: 5)
- Returns structured search results
Setup
- Install dependencies:
npm install
- Build the server:
npm run build
- Configure the MCP server in your settings:
{
"mcpServers": {
"deep-search-mcp": {
"command": "node",
"args": [
"/home/joao/Cline/MCP/linkup-mcp-server/build/index.js"
],
"env": {
"LINKUP_API_KEY": "your-api-key-here"
}
}
}
}
The API key can be obtained from LinkUp API service.
Running
For development with auto-rebuild:
npm run watch
For production:
npm start
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector:
npm run inspector
NEXT STEPS
Future improvements to consider:
- Add caching for search results to improve performance
- Implement pagination for large result sets
- Add filtering options for search results
- Support different output formats (markdown, HTML)
- Add rate limiting and request throttling
- Implement authentication for API access
- Add more search parameters (date ranges, domains, etc.)
- Improve error handling and user feedback
- Add logging for debugging and monitoring
- Implement health check endpoints
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.










