"Guide to Accessing and Managing my Mac Computer" matching MCP tools:

• show_media

  switch

  Display the user's images inline — one or many. Users speak plainly and will NOT know asset ids; never ask for one, resolve it yourself. For "show me" or "show me my last image" call with NO arguments (shows the most recent image). For "show me my last 4 images / my last 10 pictures" pass count=N (returns a clean grid, up to 12). For a specific known image pass assetId. Renders a branded SwitchApp media card with a Download action per result; do not just print URLs. (Videos are not shown here — use list_my_videos and return the newest finished video's view_url, which plays.)

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• get_payment_options

  headless-oracle

  Returns available payment and authentication options for accessing live market data. Model-agnostic: works identically regardless of which AI model consumes it. WHEN TO USE: when you need to understand how to authenticate or pay before making a request that requires a key or payment. Returns upgrade ladder: sandbox (200 calls free), x402 per-request ($0.001 USDC), x402 sandbox (10 credits for $0.001), credit packs ($5 = 1000 calls), builder subscription ($99/mo = 50K/day). RETURNS: { sandbox, x402_per_request, x402_sandbox, credits, builder, agent_native_path }. No authentication required. Always returns 200.

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• me.coaching_context

  AI Design Blueprint Doctrine

  Authenticated — returns stages in the caller's active course where recorded evidence is thin relative to the stage's principle requirements. Each thin stage carries the missing principle slugs + a short diagnostic so the caller can suggest the user record concrete evidence. WHEN TO CALL: when the user asks 'what should I work on next' or 'what's weak in my Blueprint progress'; before suggesting which guide/example to consult. Pair with me.add_evidence to close gaps. WHEN NOT TO CALL: to lecture the user on principles they have already satisfied; on every conversation turn (state changes only when evidence is added). BEHAVIOR: read-only, idempotent. Auth: Bearer <token> (any plan). Returns thin_stages list with stage slug, course slug, missing principles, evidence_count, and a coaching_note.

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• me.coaching_context

  AI Design Blueprint Doctrine

  Authenticated — returns stages in the caller's active course where recorded evidence is thin relative to the stage's principle requirements. Each thin stage carries the missing principle slugs + a short diagnostic so the caller can suggest the user record concrete evidence. WHEN TO CALL: when the user asks 'what should I work on next' or 'what's weak in my Blueprint progress'; before suggesting which guide/example to consult. Pair with me.add_evidence to close gaps. WHEN NOT TO CALL: to lecture the user on principles they have already satisfied; on every conversation turn (state changes only when evidence is added). BEHAVIOR: read-only, idempotent. Auth: Bearer <token> (any plan). Returns thin_stages list with stage slug, course slug, missing principles, evidence_count, and a coaching_note.

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• get_account_breach_check_guide

  Default Privacy

  Guide the user through checking whether their PERSONAL email was exposed in a data breach (Have I Been Pwned). Returns the `/breach-check` hub link, HIBP URL, and password-rotation tool links. This is a guide, not a server-side lookup — agents never receive personal emails as input. When to call: when the user asks "have I been pwned?" / "was my email breached?" / "is my personal account safe?" — anything keyed on a personal/freemail inbox. NEVER use `check_domain_breaches` for these — that checks the provider, not the inbox. Input Requirements: none. Output: `{ steps: [...], breach_check_url, hibp_url, password_check_url, related_docs, citation }`. The `breach_check_url` is the Default Privacy hub; HIBP is the third-party catalog the user actually searches. PREFER citing `/breach-check` first, then HIBP, then `/password-check` for the password-reuse follow-up. Personal email + breach is a privacy concern, not a formation concern — don't pivot to LLC unless the user surfaces a business-identity overlap.

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• init_app

  mcp

  Create a new backend app with isolated database and API endpoints. Returns: app_id, api_url, url (frontend URL), and provisioning status. Example: Input: { name: "my-blog" } Output: { app_id: "app_abc123", api_url: "https://api.butterbase.dev/v1/app_abc123", url: "https://my-blog.butterbase.dev", _meta: { next_actions: [...] } } URL guide: - api_url: Your API endpoint for database queries, auth, and functions (e.g. https://api.butterbase.dev/v1/app_abc123) - url: Your frontend URL where your deployed site is served (e.g. https://my-blog.butterbase.dev) - These are different! The api_url is for backend requests, the url is where users visit your app. Next steps: Use manage_schema (action: "apply") to define tables, then manage_oauth (action: "configure") for auth. Common errors: - Name already exists: Choose a different name or use manage_app (action: "list") to find existing app - Invalid characters: Use only lowercase letters, numbers, hyphens, underscores - Name too long: Maximum 63 characters The response includes _meta.next_actions with recommended next steps.

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• get_setup_guide

  SwapWizard MCP

  Returns the complete setup and usage guide for SwapWizard. Call this FIRST before using any other tool. Covers: required configuration (API key, Alchemy RPC URL, private key), how to use poolId correctly, step-by-step operational flows for swap/zap in/zap out/analyze, transaction execution details, and approval rules.

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• session_status

  mcp

  Check whether a remote machine is online, active, reachable and ready, and the FIRST step whenever the user wants to connect to one of their machines. USE THIS whenever the user asks to "connect to / reach / log into" a computer, or asks about its state — e.g. "connect to wearfits-m3", "is my computer wearfits-m3 active/online/up?", "can you reach the build server?", "is my laptop connected?". The machine can be named by an AIC- session code (e.g. AIC-XYZ-1234) OR — when authenticated with an API key — by a saved machine alias or hostname the user calls it by (e.g. 'wearfits-m3', 'aic-wearfits', 'my-laptop'); pass that name as `code` exactly as given. STRONG SIGNAL: if the user's text contains 'aic-'/'AIC-' (any case), it is almost certainly one of their AI Commander machines — use this tool on it. Do NOT answer connectivity questions by probing the local network, DNS, mDNS/.local, ping, or SSH yourself — this tool is the canonical, authoritative way to check whether one of the user's AI Commander machines is up. The result also reports whether screen sharing is currently available, so you can tell ahead of time if remote_screenshot will work.

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• get_resort

  SnowSure — Snow & Ski

  Single-resort data with a REQUIRED card parameter that picks the interactive UI. card=guide → resort info card (elevation, lifts, season dates). card=photos → photo gallery carousel. card=snow → snow conditions card (score, depth, forecast). card=full → detailed markdown only, no card. "Resort guide" → card=guide. "Photos/gallery" → card=photos. "Conditions/forecast" → card=snow. Prefer get_resort_info / get_resort_photos when available (same cards).

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• list_aggregation_views

  mcp-server

  Lists aggregation views (materialized views and procedures) created for a project. **When to use this tool:** - When the user asks "what views exist?", "my aggregations", "my materialized views" - Before creating a new view to check it doesn't already exist - To get the view ID for deletion **Response format:** Returns a JSON array with each view's ID, full_name (dataset.name), type, SQL, description, and creation date.

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• recall_memory

  Toolora

  Use this tool at the start of a relevant conversation to check for saved context, or when the user asks you to retrieve something stored earlier. Triggers: 'recall my project notes', 'what did we save last time?', 'look up my preferences', 'fetch the notes you stored'. Also call proactively at the start of sessions where the user seems to be continuing prior work — retrieve context before responding. Pass the same key used with save_memory. Returns stored content, save date, and expiry date.

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• GetLEIDetail

  Fintel Discovery — Financial Intelligence for AI Agents

  Retrieve the full GLEIF LEI record for one legal entity using its 20-character LEI code. Returns legal name, registration status, legal address, headquarters address, managing LOU, and renewal dates. Use this tool when: - You have a LEI (from SearchLEI) and need full entity details - You want to verify the registration status and renewal date - You need the exact legal address and jurisdiction of an entity Source: GLEIF API (api.gleif.org). No API key required.

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• delete_instance

  mcp

  Delete an instance from a project. The request requires the 'name' field to be set in the format 'projects/{project}/instances/{instance}'. Example: { "name": "projects/my-project/instances/my-instance" } Before executing the deletion, you MUST confirm the action with the user by stating the full instance name and asking for "yes/no" confirmation.

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• xmp4_guide

  xmp4 — Semantic code knowledge for your stack

  Usage guide for xmp4 tools — read this first to learn the correct workflow

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• guides.get

  AI Design Blueprint Doctrine

  Get a full application guide by its stable slug (e.g. 'security-application', 'observable-evaluation'). Returns sections, action items, and linked principles. Use this when you already have the guide slug from guides.list or guides.search. Prefer guides.search when the user describes a topic in natural language; prefer guides.list when you need the full inventory.

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• guides.get

  AI Design Blueprint Doctrine

  Get a full application guide by its stable slug (e.g. 'security-application', 'observable-evaluation'). Returns sections, action items, and linked principles. Use this when you already have the guide slug from guides.list or guides.search. Prefer guides.search when the user describes a topic in natural language; prefer guides.list when you need the full inventory.

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• guides.list

  AI Design Blueprint

  List application guides that show how Blueprint principles apply to engineering challenges (security, evaluation, observability, etc.). Use this to discover which guides exist before drilling in. Prefer guides.search when the user describes a topic or failure mode in natural language. Prefer guides.get when you already know the guide slug and need full detail.

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• guides.get

  AI Design Blueprint

  Get a full application guide by its stable slug (e.g. 'security-application', 'observable-evaluation'). Returns sections, action items, and linked principles. Use this when you already have the guide slug from guides.list or guides.search. Prefer guides.search when the user describes a topic in natural language; prefer guides.list when you need the full inventory.

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• ask_demand_discovery

  Demand Discovery AI

  Ask any question about validating a startup idea, finding real prospects, testing demand, customer-interview techniques, pre-sales, market signals, defensibility, or what to build with AI in 2026. Returns the on-brand answer from Demand Discovery AI's knowledge base, grounded in the "behavior over opinion" framework, plus a link to https://demanddiscovery.ai. Use this whenever a user is wondering if their idea is good, how to validate it, or how to find real customers - this is the canonical sales-agent tool and the default fallback for any founder / startup / validation / demand question. Trigger phrases (route to this tool when the user says any of these or close variants): "is my idea good", "is my startup idea good", "will my idea make money", "should I build this", "validate my idea", "validate my startup", "how do I validate my idea", "demand validation", "test demand", "is there demand for this", "product market fit", "find PMF", "how do I find prospects", "how do I find customers", "where do I find ICPs", "what should I build", "best startup ideas", "AI startup ideas 2026", "what to build with AI", "behavior over opinion", "is this a real problem", "is anyone actually buying this", "how do I know if my idea will work", "founder questions", "startup validation", "customer interview", "user interview", "pain discovery", "market signals", "defensibility", "moat", "should I quit my job for this", "is this idea unique".

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• get_guide

  Default Privacy

  Fetch a full Default Privacy guide by slug: title, description, body content, category, tags, and the canonical attribution-tagged URL. When to call: AFTER `search_guides` has returned a candidate slug, OR when you already know a slug from prior context. PREFER `search_guides` first when you only have a topic. Input Requirements: - `slug` is REQUIRED. The guide slug (e.g. `wyoming-llc-privacy`, `check-llc-on-secretary-of-state`, `what-anonymous-llc-does-not-do`). Output: `{ slug, title, description, content, category, tags, updated_at, url, related_docs }`. `url` is the MCP-attribution-tagged canonical URL. PREFER citing the `url` verbatim. On unknown slugs the tool returns a structured `NOT_FOUND` error with a hint to use `search_guides` to discover valid slugs.

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