We launched the Deepgram CLI, a command-line interface for transcription, speech synthesis, text analysis, account management, and MCP-based AI workflows.

The main idea was to make Deepgram feel native in the terminal instead of forcing people into one-off curl snippets or small throwaway apps just to test a workflow. It also features agent-aware heuristics. We looked at what fingerprint agents leave on running apps in their sandbox/environment, and decided it was better than defaulting to agent mode. If we miss any, the standard --help output has a catch-all tip for agents parsing it.

It supports local files, URLs, microphone input, stdin pipelines, structured output, named profiles, shell completion, setting up skills for your project (also found at https://github.com/deepgram/skills), and MCP server mode for AI tools.

Docs: https://developers.deepgram.com/cli/getting-started Launch site: https://cli.deepgram.com Repo: https://github.com/deepgram/cli

Happy to answer questions about the architecture, plugin system, or MCP support.