Open WebSearch vs MCP Server Deep Research

In-depth architectural comparison of the Open WebSearch and MCP Server Deep Research MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

Which MCP Server Should You Choose?

Choose Open WebSearch when:

• You need dedicated capabilities in the Search & Data Extraction domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).
• Primary tools included: Multi-engine web search without API keys, Structured titles, URLs, and descriptions, Web, Markdown, GitHub README, and CSDN fetching.

Explore Open WebSearch Details

Choose MCP Server Deep Research when:

• You need dedicated capabilities in the Search & Data Extraction domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).
• Primary tools included: Question elaboration and scope definition, Automatic subquestion generation, Claude web search for research subtopics.

Feature & Specification Comparison

Specification	Open WebSearch Aas-ee Search & Data Extraction	MCP Server Deep Research reading-plus-ai Search & Data Extraction
Summary	Web search using free multi-engine search (NO API KEYS REQUIRED) — Supports Bing, Baidu, DuckDuckGo, Brave, Exa, and CSDN.	MCP server providing OpenAI/Perplexity-like autonomous deep research, structured query elaboration, and concise reporting.
Category & Scope

Tools & Capabilities Breakdown

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

{
  "mcpServers": {
    "aas-ee-open-websearch": {
      "command": "npx",
      "args": [
        "-y",
        "skills"
      ]
    }
  }
}

{
  "mcpServers": {
    "reading-plus-ai-mcp-server-deep-research": {
      "command": "uvx",
      "args": [
        "--directory",
        "/Users/username/repos/mcp-server-application/mcp-server-deep-research",
        "run",
        "mcp-server-deep-research"
      ]
    }
  }
}

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