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Live Audio Intelligence

Live webcast transcription + vocal stress analysis (F0 jitter, hesitation) for earnings calls.

Connector by ykshah1309 · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)★ 1
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Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/ykshah1309-live-audio-intelligence-mcp

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Live webcast transcription + vocal stress analysis (F0 jitter, hesitation) for earnings calls.

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
2 read · 1 write · 0 delete · 1 not yet classified
Secrets
None asked for
Install scripts
Not scanned yet
Runs as
Python package

Tools by what they do 4

Read from the source code; the running server may list different tools.

Read 2 · Look things up without changing anything.

  • analyze_speaker_stress
  • get_rolling_transcript

Write 1 · Create, change, send or run things.

  • stop_monitor

Not yet classified 1 · We could not tell from the name and description.

  • monitor_live_stream

Tools (4)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • analyze_speaker_stress

    Analyse the speaker's vocal stress over a recent time window. Extracts F0 pitch contour, measures pitch jitter (vocal tremor), and detects hesitation patterns (pauses > 400ms). Returns a composite stress score from 0–100 where: 0–20 = confident, fluent delivery 20–45 = normal variation 45–75 = elevated stress — worth monitoring 75–100 = high stress — potential market-moving signal Higher scores correlate with executive nervousness, evasion, and uncertainty — the kind of prosodic signals that precede guidance revisions and earnings misses.

  • get_rolling_transcript

    Retrieve the rolling transcript from a monitored stream. Returns the concatenated text from the last N minutes, ideal for feeding into an LLM for summarisation or sentiment analysis of the earnings call in progress.

  • monitor_live_stream

    Start monitoring a live financial webcast for transcription and stress analysis. Provide a URL to a live earnings call, CNBC stream, or any webcast. The server will extract the audio stream, begin chunking it into 15-second segments, and continuously transcribe them in the background. If the audio is low-quality (speakerphone, poor connection), set disable_vad=true to prevent the voice activity detector from aggressively dropping muddy speech segments. Returns a stream_id you'll use for all subsequent operations.

  • stop_monitor

    Stop monitoring a live stream and clean up all resources. Kills the ffmpeg process, removes temporary audio files, and clears the transcript buffer.

Signals

Stars
1
Forks
0
Open issues
0
Weekly downloads
86
Last commit
Apr 16, 2026 (6 months ago)
Last release
Apr 16, 2026 (6 months ago)
Last package publish
Apr 16, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.ykshah1309/live-audio-intelligence-mcp
Version
0.1.3
Auth
No auth
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from ykshah1309

Cite this page

Live Audio Intelligence MCP server. Agent Mart. https://agentmart.dev/connectors/ykshah1309-live-audio-intelligence-mcp (last updated 2026-10-24)