Deepgram ships a CLI, an MCP server, and agent skills for speech APIs
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AI coding tools still struggle with speech APIs. So we shipped 3 tools in April to fix that: 1️⃣ dg CLI for terminal speech AI workflows 2️⃣ dg mcp for AI coding tools 3️⃣ deepgram/skills so your agent loads Deepgram context on install Now your agent can build with Deepgram context already loaded. The eval-to-prototype loop just got a lot shorter. Blog: https://t.co/o8MKz0DKbT CLI: https://t.co/3Eqp0Rt7EJ Skills:
Context
Deepgram's developer tools give coding assistants both reference material and a way to exercise speech APIs. Its tooling article explains that skills are instruction files an assistant loads on demand, while the server connects a compatible assistant to operations such as transcription and speech generation. The command-line interface lets developers run those operations from a terminal.
Together these let a developer consult the guidance, try an audio request and inspect the result without first building the complete application. The article describes this as faster prototyping but reports no measured reduction in development time.
- MCP — The Model Context Protocol — an open standard that lets any AI assistant plug into any tool or data source without custom integration code.
- context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
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