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
Install
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
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About
Reviews
Write a reviewNo 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_stressget_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_stressAnalyse 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_transcriptRetrieve 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_streamStart 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_monitorStop 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
- Packages
- pypi live-audio-intelligence-mcp
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
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Cite this page
Live Audio Intelligence MCP server. Agent Mart. https://agentmart.dev/connectors/ykshah1309-live-audio-intelligence-mcp (last updated 2026-10-24)