What dependencies does AI CLI require?
It requires the .NET SDK to install the global tool via `dotnet tool`. An OpenAI API key (`OPENAI_API_KEY`) must be set as an environment variable.
AI CLI MCP Server
@tryAGI
Basic information
About AI CLI MCP Server
AI in your terminal — powered by agents and MCP
AI CLI MCP Server config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryAI CLI MCP Server tools
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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is AI CLI?
AI CLI is a console utility that brings AI into your terminal, powered by agents and MCP (Model Context Protocol). It helps developers automate tasks like summarizing text, generating release notes, changelogs, code documentation, and executing actions via MCP servers.
How to use AI CLI?
Install globally with dotnet tool install --global tryagi.ai --prerelease. Set the OPENAI_API_KEY environment variable, then run AI CLI with appropriate flags (e.g., --tools, --provider, --model, --input). See the README for detailed examples, including filesystem/git operations and GitHub issue auto-labelling.
Key features of AI CLI
- Summarize text and generate release notes.
- Generate changelogs and code documentation.
- Perform filesystem and git actions using MCP servers.
- Auto-label GitHub issues with configurable prompts.
- Supports multiple providers (e.g., OpenRouter) and models.
- Input via command-line (
--input) or prompt file (--input-file).
Use cases of AI CLI
- Quickly summarize long text passages in the terminal.
- Generate release notes and changelogs from git history.
- Create code documentation for existing codebases.
- Automate GitHub issue labelling based on issue content.
- Set up and initialize new git repositories with AI guidance.
Frequently asked questions
Where does data processed by AI CLI reside?
Data is processed locally from your filesystem and git repositories. For GitHub actions, data is retrieved from the GitHub API. No data is stored externally by the tool.
What transports and authentication methods does AI CLI support?
AI CLI uses MCP for tool interactions. Authentication is handled via API keys (e.g., `OPENAI_API_KEY` for OpenAI/OpenRouter, `GITHUB_TOKEN` for GitHub operations).
Can I use AI CLI with models other than OpenAI?
Yes, the `--provider openrouter` flag and `--model free-fast` example show support for alternative providers. Any provider compatible with the OpenAI API format should work.
What are the known limitations of AI CLI?
The README does not specify explicit limitations. It is a console utility and requires a .NET runtime environment. Feature requests and bugs should be reported on the GitHub issues page.
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