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Cqs

Verified Integration
Author: @jamie8johnson•Category: ServerApplication
GitHub Repository
JSON-RPC 2.0
Protocol Standard
Sub-second
Execution Latency
Active
Operational Status
Tags:#Claude#Search#Database#API#Python#Git#AI#GitHub#Node.js

Client Configuration

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

System Overview

Perform semantic code search to find functions by their behavior rather than their names, leveraging local machine learning and GPU acceleration.

Indexed Date

7/23/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for Cqs

Cqs is a powerful tool for semantic code search. It uses local machine learning embeddings (nomic-embed-text-v1.5) and GPU acceleration to understand code by its behavior and functionality, rather than just names. It employs a hybrid search (RRF) to combine semantic similarity with keyword matching for highly accurate results.

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