| Name | asi1-mcp-cli JSON |
| Version |
0.1.6
JSON |
| download |
| home_page | None |
| Summary | A powerful CLI for interacting with the ASI:One LLM and Model Context Protocol (MCP) servers |
| upload_time | 2025-07-30 15:39:25 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | None |
| keywords |
ai
asi1
chatbot
cli
langchain
mcp
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# FETCH.AI MCP CLI
## Quick Start
### Installation
```bash
pip install asi1-mcp-cli
```
### Setup
1. **Create configuration directory:**
```bash
mkdir -p ~/.asi1
```
2. **Create configuration file:**
```bash
# Copy the example config
cp $(python -c "import asi1_mcp_cli; import os; print(os.path.join(os.path.dirname(asi1_mcp_cli.__file__), '..', 'asi1-mcp-server-config-example.json'))") ~/.asi1/config.json
```
3. **Edit the configuration:**
```bash
nano ~/.asi1/config.json
```
Update the following fields:
- `api_key`: Your ASI:One API key
- `BRAVE_API_KEY`: Your Brave Search API key (optional)
### Usage
#### Basic Conversation
```bash
asi1 "What is the capital of France?"
```
#### Web Search
```bash
asi1 "What are the latest developments in quantum computing?"
```
#### List Available Prompts
```bash
asi1 --list-prompts
```
#### Use Specific Prompt Templates
```bash
# Code review
asi1 --prompt review
# Git commit
asi1 --prompt commit
# YouTube video summary
asi1 --prompt yt --url "https://www.youtube.com/watch?v=example"
```
## Configuration
The configuration file (`~/.asi1/config.json`) supports:
- `api_key`: Your ASI:One API key
- `BRAVE_API_KEY`: Your Brave Search API key (optional)
- Other LLM/MCP server settings as needed
---
## 🚀 Features
- **Beautiful CLI Header**: Eye-catching ASCII art and welcome message every time you start the CLI.
- **Agent Chat**: Send messages to other agents using `asi1 agent chat --address <agent_address> --message "..."`.
- **LLM/MCP Queries**: Use `asi1 <query>` or `asi1 run <query>` for natural language queries to the LLM or MCP server.
- **Prompt Templates**: Use pre-defined prompt templates for code review, commit messages, and YouTube summaries.
- **Backwards Compatible**: Old usage patterns still work—no need to change your workflow!
- **Call Agent, MCP Server, and LLM**: The CLI can route your query to an agent, the MCP server, or the LLM as needed.
---
## 🖥️ Example Usage
### 1. Show the CLI header and help
```sh
asi1 --help
```
### 2. Ask the LLM or MCP server a question
```sh
asi1 What is the capital of France?
asi1 run "Build a chat bot in JavaScript and HTML"
```
### 3. Use a prompt template
```sh
asi1 run p review
asi1 run p commit
asi1 run p yt https://www.youtube.com/watch?v=dQw4w9WgXcQ
```
### 4. Chat with another agent
```sh
asi1 agent chat --address <agent_address> --message "Get the latest tweet from Elon Musk"
```
---
## 🧠 Prompt Templates
You can use prompt templates for common tasks:
- `review`: Code review for your current git diff
- `commit`: Generate a Conventional Commit message for your changes
- `yt`: Summarize a YouTube video by URL
Example:
```sh
asi1 run p yt https://www.youtube.com/watch?v=dQw4w9WgXcQ
```
---
## 🆕 Recent Improvements
- Premium, colorful CLI header with FETCH.AI MCP CLI branding
- Agent chat with auto-exit after first response
- Backward compatibility for LLM/MCP queries
- Improved help and usage examples
- Prompt templates for review, commit, and YouTube summary
---
## 🤝 Get Help
- Run `asi1 --help` for usage and examples
- For issues, open an issue on GitHub or contact the maintainers
---
Enjoy using the FETCH.AI MCP CLI! Powered by fetch.ai and ASI:One LLM.
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