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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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

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.

Reviews

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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
Packages: pypi live-audio-intelligence-mcp
License: MIT
Repository: github.com/ykshah1309/live-audio-intelligence-mcp
Website: github.com/ykshah1309/live-audio-intelligence-mcp
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: Official MCP Registry github-graphql

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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)