Kagimcp vs Lilbee

In-depth architectural comparison of the Kagimcp and Lilbee 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 Kagimcp when:

• You need dedicated capabilities in the Search & Data Extraction domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
• You have access to required keys: KAGI_API_KEY.
• Primary tools included: kagi_search_fetch, kagi_extract.

Explore Kagimcp Details

Choose Lilbee when:

• You need dedicated capabilities in the Search & Data Extraction domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: API Key required (Free / Open Source).
• You have access to required keys: LILBEE_API_KEY, LILBEE_MODEL_PATH, LILBEE_GPU_DEVICES.
• Primary tools included: Runs and manages chat, embedding, vision, and rerank models locally, Indexes files, notes, code, and crawled websites, Provides answers citing exact files and line numbers.

Feature & Specification Comparison

Specification	Kagimcp kagisearch VerifiedSearch & Data Extraction	Lilbee tobocop2 Search & Data Extraction
Summary	The Official Model Context Protocol (MCP) server for Kagi Search & other tools.	Runs and manages its own local models, or uses your existing Ollama or LM Studio if you prefer. Indexes your files and code, crawls the websites you point it at, and answers with citations to the source.
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": {
    "kagisearch-kagimcp": {
      "command": "uvx",
      "args": [
        "kagimcp"
      ],
      "env": {
        "KAGI_API_KEY": "YOUR_KAGI_API_KEY_HERE"
      }
    }
  }
}

{
  "mcpServers": {
    "tobocop2-lilbee": {
      "command": "npx",
      "args": [
        "-y",
        "lilbee"
      ],
      "env": {
        "LILBEE_API_KEY": "YOUR_LILBEE_API_KEY_HERE",
        "LILBEE_MODEL_PATH": "YOUR_LILBEE_MODEL_PATH_HERE",
        "LILBEE_GPU_DEVICES": "YOUR_LILBEE_GPU_DEVICES_HERE"
      }
    }
  }
}

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