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.
@OctagonAI
Basic information
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
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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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.
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?”
Node.js and npx must be installed on your system. Installation instructions for macOS and Windows are provided in the README.
Sign up for a free Octagon account at app.octagonai.co, navigate to API Keys in the left menu, and generate a new key.
Claude Desktop, Cursor (version 0.45.6+), Windsurf, and any client that supports running MCP servers via npx command.
Over 8,000 public companies with quarterly and annual earnings calls, special announcements, investor days, and conference call transcripts dating back to 2018.
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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