"Information and Resources for Google Sheets" matching MCP tools:

• about_emora

  mental-health-care

  Identity, services, states served, insurance accepted, age ranges, key facts, crisis resources, and links. Combined site-info + services catalog.

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• rating_score_writing

  website-search

  Get Lenny Zeltser's scoring playbook so your AI can score a draft locally against a cybersecurity-writing rating sheet. THIS IS THE ONLY TOOL THAT PRODUCES NUMERIC SCORES — the writing-coach tools (`get_security_writing_guidelines`, `ir_*`, `product_*`) never score. Returns the rubric plus step-by-step instructions for applying it. This server never requests your draft and instructs your AI to keep it local—rating sheets and scoring instructions flow to your AI.

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• get_site_status

  BorealHost

  Get detailed status of a hosted site including resources, domains, and modules. Requires: API key with read scope. Args: slug: Site identifier (the slug chosen during checkout) Returns: {"slug": "my-site", "plan": "site_starter", "status": "active", "domains": ["my-site.borealhost.ai"], "modules": {...}, "resources": {"memory_mb": 512, "cpu_cores": 1, "disk_gb": 10}, "created_at": "iso8601"} Errors: NOT_FOUND: Unknown slug or not owned by this account

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• rating_load_context

  website-search

  Load Lenny Zeltser's complete cybersecurity-writing rating toolkit: all 7 sheets, scoring policy, scoring playbook, and cross-references to the writing guidelines. This server never requests your draft and instructs your AI to keep it local—rating sheets and scoring instructions flow to your AI.

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• google_flights_round_trip

  Searchapi

  Search for round-trip flights using Google Flights. Returns flight options with airlines, departure/arrival times, prices, and booking information. **Workflow for selecting flights:** 1. Search with departure_id, arrival_id, outbound_date, and return_date to get outbound flight options 2. Each outbound flight includes a departure_token 3. Call again with departure_token to see return flight options for that outbound flight 4. Selected flight pairs include a booking_token for final booking details For one-way flights, use google_flights_one_way instead. For flexible date searches, use google_flights_calendar_round_trip to find the cheapest date combinations first.

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• hasdata_google_serp_immersive_product_getImmersive_e29f691177

  HasData

  Get Immersive Product Information Expands the Google Shopping Immersive Product pop-up given an immersiveProductPageToken from the Google Shopping API, with optional moreStores (up to ~13 merchants instead of 3–5) and nextPageToken for paginating stores. Returns multi-store offers (merchant, price, shipping, condition, URL), product specs, images, ratings, and the nextPageToken. Use for price-comparison bots, merchant discovery, dropshipping research, and aggregating full offer lists per product.

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• search

  agentView

  Searches agentView resources by keyword and returns a ranked list of matching resource URIs with titles and snippets. Use this to discover resources before calling fetch for full details. Do not use this if you already know the exact resource URI — call fetch directly instead. Without authentication only public documentation resources are searched; with authentication your account and accessible displays are included. Returns query, resourceType, count and a results array where each entry has uri, type, title, snippet and requiresAuthentication.

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• data.product

  DezignWorks Product Oracle

  Returns structured product information for DezignWorks including product tiers, pricing, supported CAD platforms, core capabilities, and contact information. Use for quick lookups without an LLM call.

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• waveguard_scan

  WaveGuard

  Find outliers and anomalies in structured data — ideal as a second step after pulling records from Google Sheets, Airtable, Supabase, Notion databases, HubSpot, Financial APIs, GitHub, NPM, or any source that returns rows of JSON. Fully stateless: send known-good rows as training and suspect rows as test in ONE call. Returns per-row anomaly scores, confidence levels, and the top features explaining WHY each row was flagged. Typical workflow: (1) Pull data from another tool (e.g. Google Sheets, Supabase query, HubSpot deals). (2) Pass the first N rows as training (normal baseline). (3) Pass remaining or new rows as test. (4) Report which rows are anomalous and why. Works on JSON objects, numbers, text, arrays. No separate training step required. Examples: - Spreadsheet QA: Pull 500 sales rows from Sheets → train on first 400 → test last 100 → flag outlier entries - Financial screening: Get ratios for 50 stocks from a financial API → find anomalous ones - CRM hygiene: Pull HubSpot deals → flag deals with unusual discount/value patterns - Dependency audit: Get NPM package metrics → flag packages with anomalous quality scores - Commit review: Pull GitHub commit metadata → flag unusual commit patterns

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• search_local_businesses

  google-maps-mcp-server

  Search Google Maps for local businesses matching a query and location. Returns business name, complete address, star rating, review count, phone number, website URL, and business category. Use for restaurant discovery, service provider lookup, or competitive local analysis. Returns open/closed status.

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• get_vaadin_primer

  docs-mcp

  IMPORTANT: Always use this tool FIRST before working with Vaadin. Returns a comprehensive primer document with current (2025+) information about modern Vaadin development. This addresses common AI misconceptions about Vaadin and provides up-to-date information about Java vs React development models, project structure, components, and best practices. Essential reading to avoid outdated assumptions. For legacy versions (7, 8, 14), returns guidance on version-specific resources.

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• read_resource

  Lawbster

  Read a resource by its URI. For static resources, provide the exact URI. For templated resources, provide the URI with template parameters filled in. Returns the resource content as a string. Binary content is base64-encoded.

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• set_tracking_scripts

  mcp

  Set Google Analytics, Google Tag Manager, Meta Pixel, or other tracking/conversion scripts for a project. Scripts are automatically injected into every page: head_scripts before </head> (for analytics/GTM), body_scripts before </body> (for conversion pixels). Set a field to null or omit it to clear.

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• compare_bikes

  cyclesite-mcp-server

  Side-by-side comparison of up to 3 bikes (each by brand+model[+year]). Returns spec sheets and valuations together so the user can pick. Reuses get_spec_sheet + get_valuation server-side. Example: 'compare a Trek Domane SL 6 against a Specialized Roubaix Comp'.

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• get_security_writing_guidelines

  website-search

  Get Lenny Zeltser's expert writing guidelines for security reports and assessments. Provides guidance on tone, structure, clarity, executive summaries, and avoiding common writing mistakes. Includes rating-sheet items (the four lens sheets: structure, look, words, tone) as concrete reference points for grounded feedback. Works for any security document. This server never requests your documents and instructs your AI to keep them local—guidelines flow to your AI for local analysis. Note: For incident response reports specifically, use the ir_* tools which provide deeper section-by-section review criteria.

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• hasdata_google_serp_news_getGoogleNews

  HasData

  Get Google News Results Retrieves Google News results by free-text query, topicToken (World, Business, Technology, etc.), sectionToken, publicationToken (e.g. CNN, BBC), or storyToken (full-coverage cluster with sort by relevance/date). Returns article title, snippet, source publisher, published date, thumbnail, and URL, plus tokens for navigating topics, sub-sections, and story clusters. Use for news monitoring, brand/PR tracking, topical aggregators, publisher-specific feeds, and drilling into full story coverage.

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• bing_search

  Searchapi

  Search the web using Bing. Returns organic results, related searches and more. Alternative to Google for web search with different ranking algorithms and results.

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• waveguard_scan_timeseries

  WaveGuard

  Detect anomalies in time-series data — use after pulling numeric metrics from monitoring APIs, financial data sources, IoT sensors, or spreadsheet columns. Send a single numeric array and specify a window size. Early windows define 'normal', recent windows are tested for anomalies. Typical workflow: (1) Pull a column of numbers from Sheets, a Supabase time-series table, or a metrics API. (2) Pass the array here. (3) Get back which time windows are anomalous. Examples: - Revenue monitoring: Pull monthly revenue from Sheets → detect anomalous months - Stock screening: Pull 90 days of closing prices → find unusual price windows - Server health: Pull response-time metrics → identify degradation windows - Sensor QA: Pull temperature readings from IoT API → flag sensor drift

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• excel_to_json

  Toolora MCP Server

  Use this tool when the user shares an Excel or spreadsheet file and wants to read, analyse, query, or transform the data. Triggers: 'analyse this Excel file', 'read this spreadsheet', 'parse this .xlsx', 'what's in this workbook'. Accepts base64-encoded .xlsx, .xls, .ods, or .csv (filename required for format detection). Returns all sheets as JSON arrays of objects, with column headers as keys.

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• get_k8s_resource

  mcp

  Gets one or more Kubernetes resources from a cluster. Resources can be filtered by type, name, namespace, and label selectors. Returns the resources in YAML format. This is similar to running `kubectl get`.

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