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Fetch intrinsic valuations and screen US stocks with institutional-grade models.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Circlfi-MCP" yet — see the docs or source repo.
Use Circlfi-MCP to fetch the intrinsic valuation for AAPL and briefly explain how to interpret the result.
Returns the stock’s intrinsic valuation with a short interpretation.
Use Circlfi-MCP to screen US equities with attractive valuation characteristics and list candidate stocks.
Outputs a list of matching US stock candidates for further research.
Use Circlfi-MCP to compare the intrinsic valuations of MSFT, GOOGL, and AMZN, then summarize the differences.
Returns a valuation comparison across multiple stocks with a brief summary of differences.
Researchers or data analysts can have an AI use this tool to quickly screen US stocks with specific valuation characteristics, narrowing the list for deeper analysis.
When a user wants to understand the intrinsic value of a US stock, the tool can provide valuation results to support an initial assessment and discussion.
Product managers or analysts can use AI-driven valuation and screening results as reference data for research products, market observations, or internal reports.
It is an MCP tool that enables AI assistants to fetch intrinsic valuations for US equities and screen stocks using CirclFi’s institutional-grade valuation models.
Based on the provided description, it mainly covers US equities, with intrinsic valuation lookup and stock screening as its core tasks. For more details, see the source repository.
The provided material does not include installation steps, runtime requirements, or API key details. See the source repository for setup information.
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