Deep Search MCP
D

Deep Search MCP

An MCP server based on TypeScript that implements deep web search functionality through the LinkUp API, providing structured search results.
2 points
8.3K

What is Deep Search MCP Server?

The Deep Search MCP Server is a specialized tool that allows you to perform comprehensive searches across the deep web. It connects to the LinkUp API to retrieve structured results, making it easier to find specialized information that isn't typically available through regular search engines.

How to use Deep Search MCP Server?

To use this service, you simply need to configure the server with your LinkUp API key, then send search queries through the MCP protocol. The server will handle the complex search operations and return easy-to-understand results.

When to use this service?

This service is particularly useful when you need to find specialized information, academic research, or data that isn't indexed by conventional search engines. It's ideal for researchers, analysts, and professionals who need comprehensive data gathering.

Key Features

Deep Web Search
Perform specialized searches that go beyond surface web results, accessing information not typically available through regular search engines.
Structured Results
Get organized search results in a consistent format that's easy to parse and understand, saving you time in processing the information.
Customizable Search
Control your search parameters including number of results, with options to expand functionality in future updates.
Advantages
Access to specialized deep web content not available through regular search
Structured results make information easier to process
Simple integration with existing MCP systems
Customizable search parameters
Limitations
Requires LinkUp API key for access
Limited to LinkUp API's coverage of the deep web
Currently lacks advanced filtering options
Debugging can be challenging without special tools

Getting Started

Install dependencies
First, install the required software packages using npm (Node Package Manager).
Build the server
Compile the TypeScript code into executable JavaScript.
Configure the server
Set up your MCP server configuration with your LinkUp API key and server path.
Run the server
Start the server in either development or production mode.

Example Use Cases

Academic Research
Finding specialized academic papers not indexed by conventional search engines.
Market Research
Gathering competitive intelligence from specialized industry sources.

Frequently Asked Questions

How do I get a LinkUp API key?
What's the difference between this and regular search?
How can I debug issues with the server?
Can I increase the number of search results?

Additional Resources

LinkUp API Documentation
Official documentation for the LinkUp API service
MCP Protocol Specification
Technical details about the Model Context Protocol
MCP Inspector Tool
Debugging tool for MCP servers
Node.js Installation Guide
How to install Node.js runtime

Installation

Copy the following command to your Client for configuration
{
  "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"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
8.7K
5 points
H
Haiku.rag
Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.
Python
5.2K
5 points
C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
15.7K
5 points
M
Maverick MCP
MaverickMCP is a personal stock analysis server based on FastMCP 2.0, providing professional level financial data analysis, technical indicator calculation, and investment portfolio optimization tools for MCP clients such as Claude Desktop. It comes pre-set with 520 S&P 500 stock data, supports multiple technical analysis strategies and parallel processing, and can run locally without complex authentication.
Python
9.6K
4 points
A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
15.6K
5 points
K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
19.2K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
14.3K
5 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
12.4K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
32.3K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
19.1K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
65.1K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
21.8K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
29.3K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
58.6K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
19.8K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
44.3K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase