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220,079 tools. Last updated 2026-06-21 10:08

"Generating PowerPoint slides from Power BI datasets in folders" matching MCP tools:

  • List artifacts in a directory. Returns the immediate contents of a directory (not recursive). Separates folders and files for easy navigation. Args: path_prefix: Directory path to list (default: "/") name_pattern: Optional case-insensitive substring filter on file/folder names Returns: Formatted directory listing or error message Examples: >>> await list_artifacts("/") {'success': True, 'path': '/', 'folders': [...], 'files': [...]} >>> await list_artifacts("/", name_pattern="readme") {'success': True, 'path': '/', 'folders': [], 'files': [{'name': 'readme.md', ...}]}
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  • Shows all details of a single workout: heart rate, pace, cadence, power, intensity zones, elevation, calories, and more. Requires workout_id from get_workout_list. Also shows which sample data (HR time series, speed, GPS etc.) is available — these can be retrieved with get_workout_samples. Parameters: - workout_id: UUID of the workout from get_workout_list
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  • [Requires Pro+ plan] [DEPRECATED — scheduled for removal] Get cached failed run history for a flow from the Power Clarity store (convenience wrapper around get_store_flow_runs with status=Failed). Returns failedActions and remediation hint per run to help diagnose issues. Data is from the stored snapshot — not live from the Power Automate API. Use get_live_flow_runs and filter by status=Failed instead.
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  • Cheap content summary for a ČSÚ dataset from the data layer: number of data cells (pocetUdaju), covered time range (casovaDimenzeOd/Do), per-dimension value counts, and last-change/publish times. Use this before get_data to gauge size, since full datasets can be large. Version (verze) is auto-resolved from the catalog if omitted.
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  • List the folder + file children of a Files surface (kind='files'). Folders sorted first by position then name; files sorted by name. Returns folders[], files[] with cuids agents can pass to `get_file` / `delete_file`. `parent_folder_id` defaults to null (= root of the surface); pass a folder id to descend into a sub-folder. Gated behind FILES_SURFACE_ENABLED + per-user allowlist (in beta on socrates@vector.build; other accounts get -32000 'not available').
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  • Get a naive Conference Power Index — D1 conferences ranked by win% plus a run-differential adjustment, computed from standings (single-team and zero-game conferences excluded). NOT strength-of-schedule weighted; read it as a rough sort, not an authoritative power ranking. Uses Highlightly standings when available, ESPN otherwise.
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  • NASA POWER MCP — Prediction of Worldwide Energy Resources

  • Ask business questions in plain English. Get instant answers from your database, no SQL needed.

  • List all template categories currently in use in your Carbone account. Categories act like folders for organising templates (e.g. "invoices", "legal", "hr"). Use the returned names as the category filter in list_templates or upload_template.
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  • [Requires Pro+ plan] [DEPRECATED — scheduled for removal] Start or stop a Power Automate flow via the live Power Automate API, then persists the updated state back to the Power Clarity store. Uses impersonation via a cached service account that is either a flow owner or an environment admin. Returns the updated stored flow record. Use set_live_flow_state instead.
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  • Get real sample data from CORD (Collections Of Relatable Data) datasets. Use dataset='list' to discover available datasets, source='list' to see vendors within a dataset. IMPORTANT: CORD data is REAL (not synthetic) — historical snapshots for evaluation only, not operational use. Always inform the user of this. When records are returned, a 'download_url' in the citation provides a way to fetch the full dataset. In HTTP mode this is a URL the user (or an automation) can curl; in stdio mode it is a `sz-mcp-coworker extract` command the user runs locally to pull bytes from the embedded bundle. Always present the fetch instruction to the user. Do NOT download it yourself or dump raw records into the conversation — the inline records are a small preview of the data shape. Asset IDs are not stable across versions. If a previously-known ID fails to extract, call this tool again to obtain the current ID.
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  • [Requires Pro+ plan] [DEPRECATED — scheduled for removal] Get the trigger URL and trigger type for an HTTP-triggered flow from the Power Clarity cache. Read directly from the stored flow record — no live Power Automate API call is made. Use get_live_flow_trigger_url for a guaranteed-fresh URL.
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  • Browse the Czech Statistical Office (ČSÚ) open-data catalog of datasets ('datové sady'). Returns id (kod), version (verze), Czech title (nazev), status, and available time/territory levels. The full catalog is ~781 datasets; filter by a case-insensitive substring of the Czech title (the API has no server-side search) and page with limit/offset.
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  • Load educational slides or cloud file attachments. Use laminasAnexos for educational slides/laminas (~238 items with PDFs about nutrition topics), cloudAnexos for uploaded cloud files. For guidelines/orientations specifically, use webdiet_orientacoes action=list_banco. Bulk support: accepts patient_ids for batched execution.
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  • OPERATOR: reclassify an existing learner's track (scratch | intermediate | power). Routes through the learner's record so the change sticks. Use when a learner was placed wrong — e.g. a scratch enrollee who's really a power operator. Requires admin_key. The learner must have started a session first.
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  • Use when a user asks "can I get N MW of power in <ISO> and how long will it take?" — the flagship grid-headroom + interconnection-queue brief for one ISO. Example: "How much excess power does PJM have right now and what is the time-to-power for a 200MW load?" — get_grid_intelligence region_id="PJM". Params: region_id (aliases iso/region accepted) — one of the 7 live US ISOs: "PJM" | "ERCOT" | "CAISO" | "MISO" | "SPP" | "NYISO" | "ISO-NE". Returns: {iso, iso_name, demand_mw, generation_mix_pct{NG,COL,NUC,WND,SUN,WAT,…}, renewable_share_pct, gas_share_pct, constraint_score (0-100 DCPI), excess_power_score (0-100 DCPI), avg_time_to_power_months, curtailment_pct, reserve_margin_pct, retail_price_cents_kwh, queue_depth_gw, data_center_share_pct, stranded_capacity_mw, grid_emergencies_30d, build_rate_pct, last_updated}. Do NOT use to compare 2+ ISOs side-by-side (use compare_isos) or for the global greenest-first ranking (use get_grid_scoreboard).
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  • Navigate the Eurostat theme tree. Without theme_code returns the 11 top-level theme folders (Economy, Population, Transport, etc.) — the practical starting points. With a theme_code returns its immediate children: subtheme folders and datasets in that branch. Use this for structured discovery when you know the domain but not the dataset code, or to drill down from a broad topic to a specific dataset. Pair with eurostat_search_datasets for keyword-based discovery.
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  • Get full documentation for a specific theme: layouts, components, and examples. Call this BEFORE render_slides to learn the theme's unique features. Each theme has different layouts, components, and frontmatter options. Use what you learn here to produce high-quality, theme-specific slides. This is the primary tool for preparing to render slides. When the user specifies a theme, call this directly — no need to call browse_themes.
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  • Search the Eurostat catalogue (8,933 datasets) by keyword. Returns matching datasets with codes, descriptions, period coverage, and theme breadcrumbs. Use this to discover dataset codes before calling eurostat_get_dataset_info or eurostat_query_dataset. Results are limited to datasets and predefined tables — folders are excluded.
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  • Retrieve detailed schema and metadata for a specific dataset using Baselight format @username.dataset. Use this after discovering datasets to understand their structure before querying. Tables within datasets follow the format @username.dataset.table (always double-quoted identifiers in SQL).
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  • Generate a presentation from text content. Returns a generation_id to poll. Args: input_text: Content to transform into slides (text, markdown, or notes) title: Presentation title theme_id: Theme ID to use for the presentation. Call get_themes to discover available theme IDs and names for the authenticated user. vibe_id: Vibe ID for visual style. Call get_vibes to discover available vibes. Requires num_creative_variants >= 1 when set. slide_range: Target slides - 'auto', '1', '2-5', '6-10', '11-15', '16-20' additional_instructions: Extra guidance for the AI include_ai_images: Whether to generate AI images for slides num_creative_variants: Number of creative slide variants (0-2). Increases cost. image_ids: IDs of previously uploaded images to incorporate into slides. total_variants_per_slide: Number of distinct slide options to generate (1-4). export_formats: Output formats - 'link', 'pdf', 'ppt'. Defaults to ['link']. language: Output language, e.g. "French", "Japanese", "Spanish (Latin America)". If not set, matches the input language. Poll get_generation_status until status is 'completed'.
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