Cowork Semantic Search

Verified Integration

Author: @spawning•Category: ServerApplication

GitHub Repository

JSON-RPC 2.0

Protocol Standard

Sub-second

Execution Latency

Active

Operational Status

Client Configuration

— Connect Cowork Semantic Search to Claude Desktop or Cursor in seconds

{
  "mcpServers": {
    "cowork-semantic-search": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-cowork-semantic-search"
      ],
      "env": {}
    }
  }
}

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).

Architecture & Capabilities

System Overview

Indexes your local documents into a fast vector database, enabling powerful, offline semantic search for AI tools.

Indexed Date

7/22/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for Cowork Semantic Search

It acts as a Model Context Protocol (MCP) server, allowing AI clients like Claude Code, Cursor, or Windsurf to query your local document index and retrieve relevant context, enhancing the AI's ability to answer questions based on your specific files.

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