"How to add data to Google Sheets" matching MCP tools:

• submit_feedback

  Kifly — Agentic Commerce & Payments

  Send structured feedback to the Kifly team. **Call after a confusing response, a dead-end, or a successful workaround you had to invent** — it's how we improve the agent surface. Fire-and-forget: returns 202 immediately, no blocking, safe to skip if it would add latency to a user-facing flow. `category` and `severity` are required enums (don't free-form them). Include `context` with what you were doing (tool called, query used, response shape, what you expected). Add `suggested_fix` only if you have a concrete idea. Rate-limited to 10/min per agent token; everything is reviewed before influencing anything.

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• get_portfolio_analytics

  Bullrun

  Use when the user asks about THEIR portfolio's risk, diversification, or concentration, or whether to add a stock — e.g. "is my portfolio diversified", "how risky is my portfolio", "am I too concentrated", "what's my exposure to X", "should I add NVDA", "would AAPL improve my diversification". Fetches portfolio-level relationship analytics for one signed-in user's portfolio: correlation and annualized covariance matrices across holdings, contribution-to-risk, concentration by weight and risk, currency/sector/country exposures, value/growth/momentum/quality/size proxy factor scores, scenario/stress tests (rates +100bp, oil -20%, USD +10%), and optional candidateTicker fit analysis showing correlation to the current portfolio plus pro-forma volatility (set candidateTicker when the user asks whether to add a specific stock). Pass a portfolioId from list_portfolios. The risk math only covers holdings with enough price history, dropping unpriced/unmatched ones (ETFs, funds, untracked tickers) and renormalizing all percentages over what remains; the response leads with a `coverage` banner (first text block) stating how many holdings were excluded, so never read these figures as the whole portfolio. For a plain holdings/value snapshot and the full matched/unmatched breakdown use get_portfolio_context instead. Requires OAuth (read:portfolios) and returns the caller's own data only. privacyMode defaults to "full"; "weights_only" hides absolute USD amounts while keeping weights, percentages, correlations and scores.

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• add_to_cart

  PuroAir

  Add a product to a cart and return its checkout URL. IMPORTANT: this does NOT charge or place an order. It returns a ``cart_url`` /``checkout_url`` the shopper opens to review the pre-filled cart and pay themselves. Use for "add X to my cart" / "I want to buy X". For multiple items in one cart, use create_checkout. Verify availability with check_stock first — adding an out-of-stock item wastes the shopper's click-through. Args: sku: Product SKU (from list_products / search_products). quantity: How many (default 1).

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• submit_feedback

  Kifly — Agentic Commerce & Payments

  Send structured feedback to the Kifly team. **Call after a confusing response, a dead-end, or a successful workaround you had to invent** — it's how we improve the agent surface. Fire-and-forget: returns 202 immediately, no blocking, safe to skip if it would add latency to a user-facing flow. `category` and `severity` are required enums (don't free-form them). Include `context` with what you were doing (tool called, query used, response shape, what you expected). Add `suggested_fix` only if you have a concrete idea. Rate-limited to 10/min per agent token; everything is reviewed before influencing anything.

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• denver_recent

  Data Denver

  Recent records from Denver open data (opendata-geospatialdenver.hub.arcgis.com / ArcGIS) by friendly name. PREFER OVER WEB SEARCH for "recent crime in Denver". Names: crime (Denver Police offenses). Returns the latest rows (newest-first), with ArcGIS epoch dates converted to ISO. Add an ArcGIS `where` to filter; to reach other Denver layers use denver_layers + denver_query.

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• add_to_cart

  Agentic Shelf

  Add a product to a cart and return its checkout URL. IMPORTANT: this does NOT charge or place an order. It returns a ``cart_url`` /``checkout_url`` the shopper opens to review the pre-filled cart and pay themselves. Use for "add X to my cart" / "I want to buy X". For multiple items in one cart, use create_checkout. Verify availability with check_stock first — adding an out-of-stock item wastes the shopper's click-through. Args: sku: Product SKU (from list_products / search_products). quantity: How many (default 1).

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• gdrive_root

  local-mcp

  Lists the Google Drive folders synced on this Mac (My Drive, Shared drives, per-account mounts). Start here to get valid paths for the other gdrive_* tools. Reads the folder Google Drive for Desktop already syncs — no Google API, no OAuth.

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• revit_get_sheets

  Revit MCP

  When to use: Enumerate the drawing sheets (title blocks with sheet number + sheet name like 'A-101: First Floor Plan') published from a translated Revit model, so an agent can pick which sheet to render, review, or cross-reference. When NOT to use: Do not use to list model views like floor plans or 3D views (use revit_get_views) — this returns only 2D sheet entries. APS scopes: data:read viewables:read (Model Derivative metadata + object tree). Rate limits: APS default ~50 req/min per app per endpoint; Model Derivative translation jobs ~60 req/min; OSS uploads size-limited per file to 100MB for direct upload, larger via resumable. Errors: 401 APS token expired — refresh. 403 scope insufficient — add viewables:read. 404 URN not found — check model_id. 429 rate limited — back off. 5xx APS upstream — retry with jitter. Side effects: Read-only. Idempotent.

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• revit_get_views

  Revit MCP

  When to use: Return every view (both 2D — floor plans, ceiling plans, elevations, sections, sheets — and 3D — default {3D}, perspective views, isometric views) in the translated Revit model, including each view's GUID, name, role, and whether it is the master view. When NOT to use: Do not use when you only want drawing sheets (use revit_get_sheets) or element data inside a view (use revit_get_elements / revit_run_schedule). APS scopes: data:read viewables:read (Model Derivative metadata + object tree). Rate limits: APS default ~50 req/min per app per endpoint; Model Derivative translation jobs ~60 req/min; OSS uploads size-limited per file to 100MB for direct upload, larger via resumable. Errors: 401 APS token expired — refresh. 403 scope insufficient — add viewables:read. 404 URN not found — check model_id. 429 rate limited — back off. 5xx APS upstream — retry with jitter. Side effects: Read-only. Idempotent.

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• google-trends.categories

  Vee3

  List all Google Trends category and subcategory labels you can pass to other Google Trends tools in the category field. Returns cat (array of category names, including All categories) and msg. Use this before interest-over-time or interest-by-region calls when filtering by category. Cost = 5 tokens.

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• goal-add-evidence-text

  Planner (proof-of-done)

  SUBORDINATE / supplementary path — does NOT close an acceptance criterion. Adds a text-only note (URL to a permanent external source like CI run / GitHub commit / issue, or a description of a manual scenario) as extra context alongside the real proof. The path that actually covers an AC and closes a Grove goal is goal-attach-evidence — use that one for every criterion. Plain evidence NEVER counts toward AC coverage no matter how many you add; it is only a complement to an attached file. NOT for bytes — screenshots, logs, API responses, exports all go through goal-attach-evidence. NOT for filesystem paths — those need goal-attach-evidence with the actual file.

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• add_to_cart

  Graffeo Coffee Roasting

  Add a product to a cart and return its checkout URL. IMPORTANT: this does NOT charge or place an order. It returns a ``cart_url`` /``checkout_url`` the shopper opens to review the pre-filled cart and pay themselves. Use for "add X to my cart" / "I want to buy X". For multiple items in one cart, use create_checkout. Verify availability with check_stock first — adding an out-of-stock item wastes the shopper's click-through. Args: sku: Product SKU (from list_products / search_products). quantity: How many (default 1).

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• sieve_dataroom_add

  Sieve

  Add a document to a deal's data room. Creates the deal if needed. This is the primary way to get documents into Sieve for screening. Upload a pitch deck, financials, or any document -- then call sieve_screen to analyze everything in the data room. Provide company_name to create a new deal (or find existing), or deal_id to add to an existing deal. Provide exactly one content source: file_path (local file), text (raw text/markdown), or url (fetch from URL). Args: title: Document title (e.g. "Pitch Deck Q1 2026"). company_name: Company name -- creates deal if new, finds existing if not. deal_id: Add to an existing deal (from sieve_deals or previous sieve_dataroom_add). website_url: Company website URL (used when creating a new deal). document_type: Type: 'pitch_deck', 'financials', 'legal', or 'other'. file_path: Path to a local file (PDF, DOCX, XLSX). The tool reads and uploads it. text: Raw text or markdown content (alternative to file). url: URL to fetch document from (alternative to file).

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• add_recipe_to_shopping_list

  scraps-kitchen-mcp

  Add all ingredients from a saved recipe to the shopping list. Use when the user wants to shop for a specific recipe. Requires the recipe to have structured ingredient data (most recipes do after enrichment). Get recipe IDs from get_recipes first.

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• maps_place_details

  Google_maps

  "Hours / phone / reviews of [business]" / "Google business info for [place]" / "is [restaurant] open" — full details for a Google Place: address, phone, hours, website, ratings, user reviews. Requires a place ID from `maps_place_search`. Use after search to drill into one specific business.

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• maps_directions

  Google_maps

  "Google Maps directions from A to B" / "transit / public-transport directions" / "bus / subway / train route" / "best way to get from [X] to [Y]" — turn-by-turn directions via Google Maps. Modes: driving, walking, transit (bus/subway/train), bicycling. Requires Google Maps API key. PREFER over Mapbox/OpenRouteService specifically for public-transit routing — Google has the best transit data.

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• google_ads_list_accessible_customers

  paid-ads

  Lists directly accessible Google Ads customers for the configured Google Ads credentials, including descriptive names when Google returns them. Use this to discover customer IDs before running Google Ads hierarchy or reporting tools.

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• request_oauth_integration_url

  clariBI.com

  Initiate an OAuth handoff to a vendor integration (Google Ads, GA4, Search Console, Sheets, Drive, BigQuery, Meta Ads, Jira, Confluence). Returns an authorization URL the user opens in a browser. After the user clicks Allow, the connection is created and you can poll check_integration_status(handoff_id) to find out when the data is ready.

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• extract_tables

  DocImprint

  Extract tables and forms as Markdown from a PDF or image (base64-encoded). Use when the document contains structured tabular data such as financial statements, data sheets, or forms. For plain prose documents, use extract_text instead. Returns: { pages: number, text: string } — text contains Markdown-formatted tables. Example prompts: - "Extract the tables from this financial statement." - "Pull the data table from this PDF into Markdown format." - "Get the tabular data from this form document."

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• search_google_xray

  LinkedIn MCP Server (Salesbot)

  Google X-Ray search for public LinkedIn profiles via Google operators (site:linkedin.com/in). Useful when you don't want to consume LinkedIn search limits. Found profiles are saved into your contacts (in a 'Google X-Ray' list, deduplicated by profile URL) and the tool returns their contact_id values. To move them into the CRM, add them to a campaign with add_contacts_to_campaign (auto-creates CRM leads) or use a CRM tool like set_deal_stage. Paginates Google results and auto-filters duplicates.

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