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CLI for Paparats MCP — semantic code search for AI coding assistants

Package Exports

  • @paparats/cli
  • @paparats/cli/package.json

Readme

@paparats/cli

CLI for Paparats MCP — semantic code search across multiple repositories. MCP server powered by Qdrant vector search and Ollama embeddings, designed for AI coding assistants (Claude Code, Cursor).

Install

npm install -g @paparats/cli

Prerequisites

  • Docker + Docker Compose — runs Qdrant and MCP server
  • Ollama — local embedding model (on host)

Quick start

# 1. Ensure Docker, Docker Compose, and Ollama are installed
docker --version && docker compose version && ollama --version

# 2. One-time setup: starts Qdrant + MCP server, downloads GGUF (~1.6 GB)
paparats install

# 3. In your project
cd your-project
paparats init   # creates .paparats.yml
paparats index  # index the codebase

# 4. Run watch to keep the index in sync when files change
paparats watch

# 5. Connect your IDE (Cursor, Claude Code) to the MCP server

See the full documentation for MCP setup and configuration.