Octagon Earnings Transcripts MCP Server

Q: How do I get an API key?

Sign up for a free Octagon account at app.octagonai.co, navigate to API Keys in the left menu, and generate a new key.

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ライセンス

MIT license

トランスポート

stdio

作者

OctagonAI

Octagon Earnings Transcripts MCP Server について

The Octagon Earnings Transcripts MCP server provides specialized AI-powered earnings call transcript analysis capabilities by integrating with advanced transcripts analysis agents. Covers over 8,000 public companies with continuous daily updates and historical data dating back to

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Octagon Earnings Transcripts MCP Server の設定

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Octagon Earnings Transcripts MCP Server のツール

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概要

What is Octagon Earnings Transcripts MCP?

Octagon Earnings Transcripts MCP is an AI-powered earnings call transcript analysis server that integrates with Octagon AI's Transcripts Agent. It covers over 8,000 public companies with historical data back to 2018 and continuous daily updates, providing capabilities like executive statement extraction, financial guidance analysis, and sentiment tracking.

How to use Octagon Earnings Transcripts MCP?

Install prerequisites (Node.js and npx). Obtain an Octagon API key from the Octagon app. Configure the MCP server in an MCP client (Claude Desktop, Cursor, Windsurf, or run via npx) by setting the OCTAGON_API_KEY environment variable and using the command npx -y octagon-earnings-transcripts-mcp@latest. After configuration, the server provides tools for querying earnings transcripts with prompts like “What did Amazon’s CEO say about AWS growth expectations in the latest earnings call?”

Key features of Octagon Earnings Transcripts MCP

Covers over 8,000 public companies globally
Historical transcript data from 2018 to present
Continuous daily updates for real-time insights
Universal integration with any MCP-compatible client
Executive statements, analyst questions, and forward-looking statement extraction
Management sentiment, guidance, and business trend analysis

Use cases of Octagon Earnings Transcripts MCP

Analyze management sentiment and tone changes across quarters
Extract specific financial guidance figures from earnings calls
Identify key business trends and narrative shifts over time
Compare management statements with actual reported results
Track recurring themes mentioned across multiple calls

よくある質問

What prerequisites are required to run the server?

Node.js and npx must be installed on your system. Installation instructions for macOS and Windows are provided in the README.

How do I get an API key?

Which MCP clients are supported?

Claude Desktop, Cursor (version 0.45.6+), Windsurf, and any client that supports running MCP servers via npx command.

What companies and time range are covered?

Over 8,000 public companies with quarterly and annual earnings calls, special announcements, investor days, and conference call transcripts dating back to 2018.

What types of data can be extracted from transcripts?

Executive statements, financial guidance, analyst questions, forward-looking statements, management sentiment, business segment performance, operational metrics, and call metadata such as participants and financial highlights.

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