How to verify the live Digikala MCP server before relying on it with Digikala MCP

Related use cases from other repos

• Run the offline research sample and open its workbench

  Start the local app on bundled fixtures and inspect the staged research workbench without any external services.

  • Finathink
  • Money
  • Intermediate
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  In the finathink repo, set up the environment as described in its Quick Start, then run the local app with --sample on port 8765. Report the /workbench stage list, each stage status, and the manifest fingerprint shown. Verify that the sample run reports the stages from the research flow without requiring any external credentials.

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• Compare products for a shopping brief

  Get ranked product choices with reasons, rejected offers, and sources from your AI app.

  • Northcinder
  • Money
  • Intermediate
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  Use the NorthCinder MCP server to search for <product request> and compare price, delivery, fit, and merchant trust. Return up to three ranked choices with the reason for each rank, the rejected offers, and any facts that could not be verified. Verify that each choice lists the store it came from and that no purchase was started.

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• Screen companies as they stood on a past date

  Run a metric threshold screen on SEC filings using only what was public on a chosen date.

  • Qanat
  • Money
  • Intermediate
  View prompt

  In the Qanat project at <project-folder>, run a screen for metric pe below 30 as of <date> using the qanat screen command. Return the companies that passed, the count evaluated, and the count that could not be evaluated. Verify that the list is shown together with the unevaluated count so no companies are silently dropped.

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Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked "Seen in the wild", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email [email protected] and we will look at it promptly. Full disclaimer page