BrowserAI Dev vs Cite Caddy

In-depth architectural comparison of the BrowserAI Dev and Cite Caddy 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 BrowserAI Dev when:

• You need dedicated capabilities in the Research domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: API Key required (Freemium).
• You have access to required keys: LASTSEARCH_API_KEY.
• Primary tools included: search, open, extract.

Explore BrowserAI Dev Details

Choose Cite Caddy when:

• You need dedicated capabilities in the Research domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).
• Primary tools included: search_items, get_item, list_collections.

Explore Cite Caddy Details

Feature & Specification Comparison

Specification	BrowserAI Dev BrowseAI-HQ Research	Cite Caddy Research
Summary	Evidence-backed web research for AI agents. Real-time search with cited claims, confidence scores, and compare mode (raw LLM vs evidence-backed). MCP server, REST API, and Python SDK.	Remote MCP server for full read/write access to a Zotero library
Category & Scope	Research

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": {
    "browseai-hq-browserai-dev": {
      "command": "npx",
      "args": [
        "-y",
        "lastsearch"
      ],
      "env": {
        "LASTSEARCH_API_KEY": "YOUR_LASTSEARCH_API_KEY_HERE"
      }
    }
  }
}

{
  "mcpServers": {
    "cite-caddy": {
      "command": "npx",
      "args": [
        "-y",
        "cite-caddy"
      ]
    }
  }
}

Related MCP Server Comparisons