Prismical

The developers behind Amical built Prismical to eliminate the privacy liabilities and awkward friction of meeting recording bots. Instead of dispatching an automated avatar into video calls or piping sensitive audio to third-party clouds, the desktop application taps directly into operating system audio to transcribe conversations locally. Equipped with on-device speech models and an integrated Model Context Protocol (MCP) server, it turns engineering standups and sprint planning into structured markdown notes without leaking proprietary discussions.

Why Prismical instead of Granola

Granola established a popular paradigm for developer meeting notes: capture system audio without sending a bot into the call, let the user jot down rough notes, and use artificial intelligence to flesh out a structured summary. The primary friction for engineering teams is data sovereignty. Granola processes meeting transcripts through hosted cloud endpoints, creating compliance barriers for squads discussing proprietary architectures, incident post-mortems, or confidential APIs.

Prismical replicates the bot-free workflow while keeping execution entirely on the local workstation. It pairs native desktop audio loopback with local Whisper or NVIDIA Parakeet speech recognition models, ensuring raw audio never leaves your machine. For teams that permit external inference, Prismical supports bring-your-own-key connections to OpenAI, Anthropic, or Google alongside local Ollama instances. It also embeds a Model Context Protocol server, allowing coding agents like Claude Code or IDE assistants to query meeting decisions directly without cloud exposure.

What it does well

• Local speech-to-text processing: Transcribes meetings on device using OpenAI Whisper or NVIDIA Parakeet weights, keeping sensitive audio offline.
• Unobtrusive system audio capture: Records Zoom, Microsoft Teams, Google Meet, and Slack calls directly from the OS audio mixer without external bot attendees.
• Model Context Protocol integration: Exposes an MCP server that feeds meeting decisions, action items, and transcripts directly into coding agents.
• Bring-your-own-model flexibility: Connects to local Ollama endpoints for private summaries, or routes to proprietary models using developer API keys.
• Floating desktop companion: Keeps an always-on-top compact window visible during calls for monitoring live rolling transcripts and taking quick manual notes.