| Name | asi1-mcp-cli JSON |
| Version |
0.1.5
JSON |
| download |
| home_page | None |
| Summary | A powerful CLI for interacting with the ASI:One LLM and Model Context Protocol (MCP) servers |
| upload_time | 2025-07-17 15:35:50 |
| 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.
Raw data
{
"_id": null,
"home_page": null,
"name": "asi1-mcp-cli",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": "Fetch Team <gautam.kumar@fetch.ai>",
"keywords": "ai, asi1, chatbot, cli, langchain, mcp",
"author": null,
"author_email": "Fetch Team <gautam.kumar@fetch.ai>",
"download_url": "https://files.pythonhosted.org/packages/54/bc/2baa0e8baccc73345ab5eeddde103f7c983f98e962731a86375bfcf667e2/asi1_mcp_cli-0.1.5.tar.gz",
"platform": null,
"description": "# FETCH.AI MCP CLI\n\n## Quick Start\n\n### Installation\n\n```bash\npip install asi1-mcp-cli\n```\n\n### Setup\n\n1. **Create configuration directory:**\n ```bash\n mkdir -p ~/.asi1\n ```\n\n2. **Create configuration file:**\n ```bash\n # Copy the example config\n 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\n ```\n\n3. **Edit the configuration:**\n ```bash\n nano ~/.asi1/config.json\n ```\n\n Update the following fields:\n - `api_key`: Your ASI:One API key\n - `BRAVE_API_KEY`: Your Brave Search API key (optional)\n\n### Usage\n\n#### Basic Conversation\n```bash\nasi1 \"What is the capital of France?\"\n```\n\n#### Web Search\n```bash\nasi1 \"What are the latest developments in quantum computing?\"\n```\n\n#### List Available Prompts\n```bash\nasi1 --list-prompts\n```\n\n#### Use Specific Prompt Templates\n```bash\n# Code review\nasi1 --prompt review\n\n# Git commit\nasi1 --prompt commit\n\n# YouTube video summary\nasi1 --prompt yt --url \"https://www.youtube.com/watch?v=example\"\n```\n\n## Configuration\n\nThe configuration file (`~/.asi1/config.json`) supports:\n- `api_key`: Your ASI:One API key\n- `BRAVE_API_KEY`: Your Brave Search API key (optional)\n- Other LLM/MCP server settings as needed\n\n---\n\n## \ud83d\ude80 Features\n\n- **Beautiful CLI Header**: Eye-catching ASCII art and welcome message every time you start the CLI.\n- **Agent Chat**: Send messages to other agents using `asi1 agent chat --address <agent_address> --message \"...\"`.\n- **LLM/MCP Queries**: Use `asi1 <query>` or `asi1 run <query>` for natural language queries to the LLM or MCP server.\n- **Prompt Templates**: Use pre-defined prompt templates for code review, commit messages, and YouTube summaries.\n- **Backwards Compatible**: Old usage patterns still work\u2014no need to change your workflow!\n- **Call Agent, MCP Server, and LLM**: The CLI can route your query to an agent, the MCP server, or the LLM as needed.\n\n---\n\n## \ud83d\udda5\ufe0f Example Usage\n\n### 1. Show the CLI header and help\n```sh\nasi1 --help\n```\n\n### 2. Ask the LLM or MCP server a question\n```sh\nasi1 What is the capital of France?\nasi1 run \"Build a chat bot in JavaScript and HTML\"\n```\n\n### 3. Use a prompt template\n```sh\nasi1 run p review\nasi1 run p commit\nasi1 run p yt https://www.youtube.com/watch?v=dQw4w9WgXcQ\n```\n\n### 4. Chat with another agent\n```sh\nasi1 agent chat --address <agent_address> --message \"Get the latest tweet from Elon Musk\"\n```\n\n---\n\n## \ud83e\udde0 Prompt Templates\n\nYou can use prompt templates for common tasks:\n- `review`: Code review for your current git diff\n- `commit`: Generate a Conventional Commit message for your changes\n- `yt`: Summarize a YouTube video by URL\n\nExample:\n```sh\nasi1 run p yt https://www.youtube.com/watch?v=dQw4w9WgXcQ\n```\n\n---\n\n## \ud83c\udd95 Recent Improvements\n- Premium, colorful CLI header with FETCH.AI MCP CLI branding\n- Agent chat with auto-exit after first response\n- Backward compatibility for LLM/MCP queries\n- Improved help and usage examples\n- Prompt templates for review, commit, and YouTube summary\n\n---\n\n## \ud83e\udd1d Get Help\n- Run `asi1 --help` for usage and examples\n- For issues, open an issue on GitHub or contact the maintainers\n\n---\n\nEnjoy using the FETCH.AI MCP CLI! Powered by fetch.ai and ASI:One LLM.\n",
"bugtrack_url": null,
"license": null,
"summary": "A powerful CLI for interacting with the ASI:One LLM and Model Context Protocol (MCP) servers",
"version": "0.1.5",
"project_urls": null,
"split_keywords": [
"ai",
" asi1",
" chatbot",
" cli",
" langchain",
" mcp"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "09ec5a84214a4e087c851e4d7846b0a9c384ad0a9c8ab4f2623775baf8fabfdc",
"md5": "458f4b5dc4e4be7e7fddc272d9323281",
"sha256": "e4beb6e8c08fc8c059273c3809ccafc7766efdd2ef1bbad4c6de596c88867b6a"
},
"downloads": -1,
"filename": "asi1_mcp_cli-0.1.5-py3-none-any.whl",
"has_sig": false,
"md5_digest": "458f4b5dc4e4be7e7fddc272d9323281",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 22936,
"upload_time": "2025-07-17T15:35:48",
"upload_time_iso_8601": "2025-07-17T15:35:48.364104Z",
"url": "https://files.pythonhosted.org/packages/09/ec/5a84214a4e087c851e4d7846b0a9c384ad0a9c8ab4f2623775baf8fabfdc/asi1_mcp_cli-0.1.5-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "54bc2baa0e8baccc73345ab5eeddde103f7c983f98e962731a86375bfcf667e2",
"md5": "df79328ca43d481398b259f04511ba53",
"sha256": "446e6fd1ed07cee3459613a254d515cd7590cd0e4bf1e92af75b13e39e71504c"
},
"downloads": -1,
"filename": "asi1_mcp_cli-0.1.5.tar.gz",
"has_sig": false,
"md5_digest": "df79328ca43d481398b259f04511ba53",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.8",
"size": 20686,
"upload_time": "2025-07-17T15:35:50",
"upload_time_iso_8601": "2025-07-17T15:35:50.086445Z",
"url": "https://files.pythonhosted.org/packages/54/bc/2baa0e8baccc73345ab5eeddde103f7c983f98e962731a86375bfcf667e2/asi1_mcp_cli-0.1.5.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-07-17 15:35:50",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "asi1-mcp-cli"
}
