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Y Cli
What is Y Cli
y-cli is a tiny command-line interface chat application designed for AI conversations, supporting MCP Client integration.
Use cases
Use cases for y-cli include developing AI chatbots, conducting AI research, providing customer service through AI, and integrating AI models into existing applications.
How to use
To use y-cli, install it via your terminal, configure your bot settings, and start chatting by executing commands in the command line.
Key features
Key features include flexible storage options (local JSONL and cloud storage), an interactive chat interface, support for multiple bot configurations, reasoning model support, and MCP integration.
Where to use
y-cli can be used in various fields such as AI development, research, customer support, and any application requiring interactive AI conversations.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Y Cli
y-cli is a tiny command-line interface chat application designed for AI conversations, supporting MCP Client integration.
Use cases
Use cases for y-cli include developing AI chatbots, conducting AI research, providing customer service through AI, and integrating AI models into existing applications.
How to use
To use y-cli, install it via your terminal, configure your bot settings, and start chatting by executing commands in the command line.
Key features
Key features include flexible storage options (local JSONL and cloud storage), an interactive chat interface, support for multiple bot configurations, reasoning model support, and MCP integration.
Where to use
y-cli can be used in various fields such as AI development, research, customer support, and any application requiring interactive AI conversations.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
y-cli 🚀
A tiny command-line interface chat application that brings AI conversations to your terminal.
Check out y-gui for a web-based version of y-cli.
✨ Features
- 📝 Flexible storage options:
- Local JSONL files for easy access and sync
- Cloudflare D1 for cloud storage
- 💬 Interactive chat interface with tool execution visualization
- 🤖 Support for multiple bot configurations (any base_url/api_key/model combination). Supported api format type:
- 🤔 Support for reasoning model
- Deepseek-r1 reasoning_content output print
- OpenAI o3-mini reasoning_effort configuration
- 🔗 MCP (Model Context Protocol) integration:
- Client support with multiple server configurations (stdio/SSE)
- Persistent daemon
- Custom prompt configurations
- 🧐 Simple “Deep Research” mode by prompt configuration
Demo


Multiple bot configurations
➜ ~ y-cli bot list Name API Key API Type Base URL Model Print Speed Description OpenRouter Config MCP Servers Reasoning Effort ----------- ----------- ---------- ----------------------------------- ----------------------------------- ------------- ------------- ------------------- ------------- ------------------ default sk-or-v1... N/A https://gateway.ai.cloudflare.co... google/gemini-2.0-flash-001 None N/A Yes No N/A claude sk-or-v1... N/A https://gateway.ai.cloudflare.co... anthropic/claude-3.7-sonnet:beta None N/A Yes todo N/A o3-mini sk-or-v1... N/A https://gateway.ai.cloudflare.co... openai/o3-mini None N/A Yes No low ds-chat sk-or-v1... N/A https://gateway.ai.cloudflare.co... deepseek/deepseek-chat-v3-0324:free None N/A Yes tavily N/A dify-bot app-2drF... dify https://api.dify.ai/v1 None N/A No No N/A
Multiple MCP servers
➜ ~ y-cli mcp list Name Type Command/URL Arguments/Token Environment Auto-Confirm -------------- ------ ------------------- ----------------- -------------- -------------- brave-search sse https://router.m... brave_web_s... todo stdio uvx mcp-todo exa-mcp-server stdio npx exa-mcp-server EXA_API_KEY...
⚡ Quick Start
Prerequisites
Required:
- uv
- OpenRouter API key
Setup Instructions:
-
uv
- Follow the official installation guide
- uv will automatically manage Python installation
-
OpenRouter API key
- Visit OpenRouter Settings
- Create a new API key
- Save it for the initialization step
Run without Installation
uvx y-cli
Install with uv tool
uv tool install y-cli
Initialize
y-cli init
Start Chat
y-cli chat
🛠️ Usage
y-cli [OPTIONS] COMMAND [ARGS]...
Commands
chatStart a new chat conversation or continue an existing onelistList chat conversations with optional filteringshareShare a chat conversation by generating a shareable linkimportImport chats from an external file (useful for storage migration)botManage bot configurations:addAdd a new bot configurationlistList all configured botsdeleteDelete a bot configuration
mcpManage MCP server configurations:addAdd a new MCP server configurationlistList all configured MCP serversdeleteDelete an MCP server configuration
daemonManage the MCP daemon:startStart the MCP daemonstopStop the MCP daemonstatusCheck daemon statuslogView daemon logsrestartRestart the daemon
promptManage prompt configurations:addAdd a new prompt configurationlistList all configured promptsdeleteDelete a prompt configuration
Options
--helpShow help message and exit
📚 Documentation
Visit the deepwiki page for comprehensive project documentation and guides.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










