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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
chat
Start a new chat conversation or continue an existing onelist
List chat conversations with optional filteringshare
Share a chat conversation by generating a shareable linkimport
Import chats from an external file (useful for storage migration)bot
Manage bot configurations:add
Add a new bot configurationlist
List all configured botsdelete
Delete a bot configuration
mcp
Manage MCP server configurations:add
Add a new MCP server configurationlist
List all configured MCP serversdelete
Delete an MCP server configuration
daemon
Manage the MCP daemon:start
Start the MCP daemonstop
Stop the MCP daemonstatus
Check daemon statuslog
View daemon logsrestart
Restart the daemon
prompt
Manage prompt configurations:add
Add a new prompt configurationlist
List all configured promptsdelete
Delete a prompt configuration
Options
--help
Show 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.