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MCP — Analyst utilities & system feedback

MCP namespace

Analyst utilities & system feedback

Productivity shortcuts, structured notetaking, and tight feedback loops for MCP sessions.

Utility, meta, and system namespaces round out the toolkit with search shortcuts, scratchpads, and a lightweight way to share product feedback straight from your assistant.

Keep every MCP conversation productive and instrumented.

  • Drop quick research pivots with Google Search and Notepad tools.
  • Inspect tool configuration metadata for advanced prompting.
  • Send product feedback without leaving your flow.

Available MCP tools

Ask your assistant to call these functions by name. Each tool mirrors the behaviour available in the Midesk interface so your automation stays compliant and auditable.

Get Tool Params

meta__get_tool_paramsMetadata & Schema

Return a parameter skeleton for a tool by name (names + defaults inferred from attributes). Use this to plan calls without guessing.

Parameters

  • tool

    string

    Required

    Canonical tool name (e.g., App\Mcp\Handlers\Data\GetDataTableTool, App\Mcp\Handlers\Monitoring\ConfigureExtractionTool).

Share Feedback

system__share_feedbackProduct Feedback

Report feedback, bugs, or issues. Emotion indicates impact: happy (feature request), neutral (minor issue), sad (blocking problem). Returns: Feedback ID for tracking. Please collect after major tasks.

Parameters

  • description

    string

    Required

    Description of the issue

  • tool

    string

    Required

    Tool name where the issue occurred

  • emotion

    string (happy, neutral, sad)

    Required

    Emotion of the user when reporting the issue. This will help us understand the impact of the issue.

    Allowed values: happy, neutral, sad

Google Search

utils__google_searchAnalyst Utilities

🔍 Market Intelligence Discovery - Find data sources to monitor: competitor sites, pricing pages, industry stats, job boards, news sources. Returns monitoring-ready URLs with extraction hints. Next: Use `monitoring__preview_data` on promising URLs.

Parameters

  • query

    string

    Required

    Search query. Examples: "Tesla investor relations", "site:competitor.com pricing", "pharmaceutical market size filetype:pdf", "site:greenhouse.io jobs"

  • limit

    number

    Number of results (max 10)

  • use_cache

    boolean

    Use cached results if available (5 min cache)

Notepad

utils__notepadAnalyst Utilities

Manage internal persistent memory. Returns: Note with ID and timestamp. TODOs use ☐/☒ prefixes.

Parameters

  • action

    string (append, list_all, clear_all)

    Required

    Action to perform: append, list_all, or clear_all

    Allowed values: append, list_all, clear_all

  • note

    string

    Note content to append (required for append action)

  • category

    string (info, todo, decision, warning)

    Note category: info, todo, decision, warning (optional, defaults to info)

    Allowed values: info, todo, decision, warning

Last refreshed from MCP: Sep 22, 2025, 3:45 AM

Playbook ideas

Use these prompts as starting points. They combine multiple tools from this namespace with other MCP capabilities to deliver analyst-grade output.

Pivot to web research

Kick off `utils__google_search` to capture open-source snippets that can be cross-referenced with proprietary findings.

Track ad-hoc notes for later export

Store intermediate reasoning or interview prep inside `utils__notepad` so it is always accessible in MCP context.

Capture contextual product feedback

`system__share_feedback` packages observed gaps while the AI still has full context, ensuring the product team receives actionable input.

Keep exploring

Hop back to the MCP catalog to combine these tools with monitoring, data, and reporting workflows.

View all MCP areas

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