Deep Web Research MCP Server

Enables enhanced web research capabilities for large language models through intelligent search queuing and advanced content extraction.

Local serverstdioTypeScript★ 84

What is the Deep Web Research MCP Server?

Enables enhanced web research capabilities for large language models through intelligent search queuing and advanced content extraction.

What you get

A Model Context Protocol (MCP) server for advanced web research.

  • Intelligent Search Queue System
  • Batch search operations with rate limiting
  • Queue management with progress tracking
  • Error recovery and automatic retries
  • Search result deduplication
  • Enhanced Content Extraction

Configuration and credentials

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Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

How to install the Deep Web Research MCP Server

{
  "mcpServers": {
    "deepwebresearch": {
      "command": "mcp-deepwebresearch",
      "args": []
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
LOG_LEVELConfiguration value read at startup.Optional

Example prompts to try

  • “Use Deep Web Research to Arguments.”
  • “Use Deep Web Research to Returns.”
  • “Use Deep Web Research to Note.”

Frequently asked questions

Key features include an intelligent search queue system with rate limiting, enhanced content extraction with TF-IDF relevance scoring, Google search integration, webpage content extraction, a 'visit webpage' tool with Markdown conversion, and an agentic research prompt for guided research.