Symbl.ai MCP. Turn raw media into structured, actionable intelligence.

You pass raw media—whether it's a meeting recording, a chat log, or a video call—to this server. It’ll spit out clean, structured data you can actually act on.

To start the whole thing off and get your Conversation ID, your agent first hits one of three entry points: process_audio takes a base64 audio file and spits back a unique identifier; process_video does the same thing for video files; or if you’ve got text transcripts, you use process_text to generate that initial Conversation ID.

Once you've got that ID, you can run deep analysis. You can call get_summary, and it generates a high-level digest of everything discussed—the core outcomes and the main scope of the conversation, keeping you from having to read through hours of garbage footage. To figure out what actually needs doing, you use get_action_items; this tool automatically pulls out every single task mentioned in the transcript, usually noting who owns it.

If you just need a general feel for follow-up work, you hit get_follow_ups, and it retrieves those specific action items that gotta get done after the meeting wrap-up.

To keep track of what was discussed without manually reading transcripts, you run get_topics. This analyzes the content and gives you a list of primary themes—the major topics covered across the entire call or chat. If anything got left hanging in the air during the discussion, running get_questions identifies all those unanswered questions so you can circle back later.

For compliance checks or market research, tracking specific words is key. You use create_tracker to set up a monitor that counts how often certain keywords or phrases pop up throughout the whole conversation data. This mechanism lets you track everything from client sentiment shifts to mentions of required regulatory terms.

The server’s intelligence doesn't stop there; it keeps pulling out every piece of structured insight, making sure you don't miss anything important.