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MSapling CLI - Multi-chat AI development environment in your terminal

Project description

MSapling CLI

Multi-chat AI development environment in your terminal. Chat with 200+ LLM models, run multi-model swarms, edit code with AI-generated diffs, and manage files from one command.

Install

pip install msapling-cli

From GitHub while developing:

pip install git+https://github.com/Kandy00/CLI.git

Quick Start

# 1. Create a free account at https://msapling.com
# 2. Login
msapling login

# 3. Chat with any model
msapling chat "explain async/await in Python"

# 4. Interactive session
msapling chat -i

# 5. Scan your project
msapling scan .

Commands

Free (no subscription needed)

Command What it does
msapling chat "prompt" Chat with free models (Gemini Flash, Haiku, Mini, Llama, Mistral)
msapling chat -i Interactive chat session
msapling scan . Detect project type, language, framework, and file stats
msapling context . Build LLM-ready context from any project (local, no server)
msapling git status Git with rich formatting
msapling models List available models
msapling projects List your projects
msapling whoami Show account info and credits
msapling diff old.py new.py Generate a unified diff between files

Pro ($20/mo)

Command What it does
msapling chat -m gpt-4o "prompt" Chat with any model (GPT-4, Claude, Gemini Pro, and more)
msapling multi "prompt" Send to multiple models in parallel and compare side-by-side
msapling swarm "task" Run a multi-model swarm with judge synthesis
msapling edit "instruction" file.py AI-driven file editing with diff preview
msapling benchmark "prompt" Compare response speed, tokens, and cost across models

MCP Server (for Claude Code / Cursor)

msapling mcp-serve

Add to Claude Code (~/.claude/settings.json):

{
  "mcpServers": {
    "msapling": {
      "command": "msapling",
      "args": ["mcp-serve"],
      "env": { "MSAPLING_TOKEN": "your-token" }
    }
  }
}

Diff Mode

CLI coding responses use diff mode by default. The AI returns unified diffs instead of full files, which keeps token usage down for coding workflows.

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