Extract sentiment, narrative themes, and asset signals from 100+ financial podcasts in real time. Built for traders, analysts, and portfolio managers who need alternative data on market sentiment and emerging narratives.
io.audioalpha.www/mcp
https://www.audioalpha.io/api/mcp
HTTP
No auth required
How models use it and what it is built for.
Extract sentiment, narrative themes, and asset signals from 100+ financial podcasts in real time. Built for traders, analysts, and portfolio managers who need alternative data on market sentiment and emerging narratives.
Hosted endpoint — paste into any MCP client.
Where to find authoritative docs and source for AudioAlpha.
Paste any of these into Agent Studio after connecting AudioAlpha.
Common questions about connecting and running AudioAlpha.
What financial podcasts does AudioAlpha cover?
The server aggregates sentiment and signals from 100+ financial podcasts. Check the AudioAlpha platform documentation for the current list of covered shows and update frequency.
How do I authenticate with this MCP server?
The server connects via HTTP to https://www.audioalpha.io/api/mcp. You'll need valid credentials or an API key from AudioAlpha — check their documentation for setup instructions and required environment variables.
What kind of signals can I extract — just sentiment?
The server provides sentiment analysis, narrative themes, and asset signals. This means you can track emotional tone, identify emerging market stories, and see which stocks or assets are being discussed most frequently.
Is this real-time or delayed data?
The registry indicates real-time or near-real-time processing from 100+ podcasts, but exact latency depends on episode release schedules and AudioAlpha's processing pipeline. Refer to their SLA documentation for specifics.
Can I use this for automated trading signals?
AudioAlpha provides alternative sentiment and narrative data that traders can incorporate into their models, but you should validate signals independently and follow all applicable trading regulations and risk management practices.
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