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How to create Bug Report Analyzer using MCP

Diagnose bug reports and generate investigation plans. This guide creates the Bug Report Analyzer prompt from Arthur's template catalog, sets up a blank MCP server, and links the prompt so any connected AI client can use it.

Steps

  1. Go to Prompt Templates and search for Bug Report Analyzer.

    Open the Prompt Templates catalog

    Search the catalog for the Bug Report Analyzer template

  2. Click Use template on the Bug Report Analyzer card and review the prefilled name, description, and content preview.

    Open the Bug Report Analyzer template with its prefilled name and content preview

    Create the Bug Report Analyzer prompt in the shared library

  3. Click Create prompt — the prompt is added to your shared library.

    Start creating the MCP server that will expose the prompt

  4. Go to New server, choose Blank / Static as the source, and click Next.

    Choose the Blank / Static source — no external connection is needed for a prompt-only server

    Advance to the server details step

    Name the server after the prompt it will expose

    Create the blank MCP server

    Open the server's Prompts tab

  5. Name the server (for example, Bug Report Analyzer Server) and click Create server.

    Open the prompt-library picker

  6. On the server's Prompts tab, click Add prompt, search for Bug Report Analyzer, and click Add.

    Search the library for the Bug Report Analyzer prompt

    Link the Bug Report Analyzer prompt to the server

    Close the picker and show the linked prompt on the Prompts tab

  7. Open the server's Connect section and click Share the MCP swagger documentation — Arthur generates the public documentation link and QR code for this server.

    Open the server's Connect section, where the MCP endpoint and its documentation live

    Open the MCP swagger documentation share panel

    Show the generated swagger documentation link and QR code for this server

Confirm it worked

The Bug Report Analyzer prompt appears on the server's Prompts tab, and the Connect section offers the server's MCP swagger documentation — a shareable page with setup instructions for any AI client. A connected client can now fetch the prompt through this server.

Good to know

  • Analyzes bug reports and stack traces to produce structured investigation plans with fix suggestions.
  • Arguments detected from the template: {{bug_report}}, {{stack_trace}} — callers fill these in when invoking the prompt.
  • Editing the prompt in the shared library updates it on every server where it's linked.

Related

Tutorial video