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DeepFetch

Verified Integration
Author: @vinay9986•Category: ServerApplication
GitHub Repository
JSON-RPC 2.0
Protocol Standard
Sub-second
Execution Latency
Active
Operational Status
Tags:#Claude#Search#Database#API#Git#AI#GitHub#Node.js#Docker

Client Configuration

— Connect DeepFetch to Claude Desktop or Cursor in seconds
{
  "mcpServers": {
    "deepfetch": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-deepfetch"
      ],
      "env": {}
    }
  }
}
Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).
Architecture & Capabilities

System Overview

Provides a semantic web search and PDF extraction server for Model Context Protocol clients, leveraging Kagi, Scrapfly, and local ONNX reranking.

Indexed Date

7/23/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for DeepFetch

Deployment is simplified with Docker. Users only need Docker installed along with API keys for Kagi and Scrapfly. This allows for quick setup and enables local `stdio` transport, with options for managed deployments via `streamable-http`.

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