"How to take notes on my local machine and on Notion" matching MCP tools:

• buy_credits

  VARRD — Statistically Validated Trading Edges + AI Research Engine

  Buy credits for the edge library and AI research. Default $5 minimum. Free — no credits consumed to call this. TWO PAYMENT METHODS: card (default): Returns a Stripe Checkout link for your user to click and pay. After payment, call check_balance to confirm credits were added. crypto: USDC on Base. Fully autonomous — no human needed. Three steps: 1. buy_credits(payment_method='crypto') → returns deposit address + payment_intent_id 2. Send USDC to the deposit address (use your wallet tool) 3. buy_credits(payment_intent_id='pi_...') → confirms payment, credits added instantly If you have wallet access, this is the fastest path — fully machine-to-machine.

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• check_local_viability

  Local Model Suitability MCP

  Checks whether a task can be handled by a local model instead of a cloud API. Call this BEFORE your agent routes any task to a cloud model — at the moment a task is ready to be sent and the model has not yet been selected. Use this when your agent is about to make a cloud inference call and wants to determine whether a local model could handle it at lower cost. Returns LOCAL/CLOUD/EITHER verdict with recommended model. If verdict is LOCAL, skip the cloud call entirely — saves cost on every routable inference call. Pass data_sensitivity=CONFIDENTIAL to force LOCAL verdict for tasks that must not leave the machine. Do not route to cloud without checking local viability first.

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• team.summarize

  AI Design Blueprint

  Pro/Teams — summarises the caller's tool-usage patterns and value signals over a configurable window (default 30 days). Returns tool_call_counts, top principles cited in validate runs, value_event_counts by event_type, and an aggregate readiness trend. WHEN TO CALL: the user asks 'how is the Blueprint helping me/my team', 'what should I explore next', or 'show me my Blueprint usage'. WHEN NOT TO CALL: proactively or on every conversation turn (the summary is an explicit retrospective, not telemetry); to compare users (returns only the caller's own data). BEHAVIOR: read-only, idempotent over the same window. Aggregates from AIToolCallLog + ValueEvent + AIValidationRunLog. Pass private_session=true to bypass server-side logging for this summary call (the underlying historical data still exists; only this read is untracked). Auth: Bearer <token>, Pro or Teams plan. UK/EU residency.

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• fvs_download_final_video

  Future Video Studio

  Download a completed Future Video Studio final render URL to a local file. Use this only after fvs_get_render_status or fvs_get_paid_render_status returns a final_video_url for a completed render. The tool performs an unauthenticated HTTPS GET to that signed URL and writes the response bytes to output_path on the MCP server's local filesystem. It does not call the FVS Agent API, spend wallet credits, require FVS_AGENT_API_KEY, cancel jobs, or modify remote render state. Side effects and constraints: output_path is a local filesystem path for the MCP server process, parent directories are created, existing files are not replaced unless overwrite is true, and large videos may take minutes to download. The request timeout is 600 seconds. Use a fresh status check to refresh expired signed URLs, and do not pass arbitrary or untrusted URLs.

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• ir_get_brief_template

  website-search

  Get Lenny Zeltser's IR one-page executive brief template. Standalone variant of `ir_get_template` for callers that only want the brief without the long-form report. This server never requests your incident notes and instructs your AI to keep them local—guidelines flow to your AI for local analysis.

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• cti_get_brief_template

  website-search

  Get Lenny Zeltser's CTI one-page executive brief template. Standalone variant of `cti_get_template` for callers that only want the brief without the long-form report. This server never requests your campaign or threat-intel notes and instructs your AI to keep them local—templates and guidelines flow to your AI for local analysis.

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• list_portfolios

  Bullrun

  Use when the user refers to THEIR portfolio(s) or holdings — e.g. "my portfolios", "what portfolios do I have", "how are my investments doing", "show my holdings", "my account". Lists the signed-in Bullrun user's virtual portfolios with computed summaries: name, base currency, total value (USD), day change, cost basis and total return, plus position counts. Start here when a portfolio question doesn't name a specific portfolio, then pass a portfolioId to get_portfolio_context or get_portfolio_analytics. Requires connecting this server to a Bullrun account (OAuth, read:portfolios scope) — it returns that user's own data only. privacyMode defaults to "full" (includes absolute $ amounts); pass "weights_only" to hide absolute money and return only relative figures (returns %, counts). Read-only.

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• switch_dannet_server

  dannet

  Switch between local and remote DanNet servers on the fly. This tool allows you to change the DanNet server endpoint during runtime without restarting the MCP server. Useful for switching between development (local) and production (remote) servers. Args: server: Server to switch to. Options: - "local": Use localhost:3456 (development server) - "remote": Use wordnet.dk (production server) - Custom URL: Any valid URL starting with http:// or https:// Returns: Dict with status information: - status: "success" or "error" - message: Description of the operation - previous_url: The URL that was previously active - current_url: The URL that is now active Example: # Switch to local development server result = switch_dannet_server("local") # Switch to production server result = switch_dannet_server("remote") # Switch to custom server result = switch_dannet_server("https://my-custom-dannet.example.com")

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• me.add_evidence

  AI Design Blueprint Doctrine

  Authenticated — append a free-text evidence note to a specific stage in the caller's active course. Notes record concrete implementation observations, decisions, or artefacts that demonstrate progress through a Blueprint principle (e.g. how a delegation boundary was implemented, what approval flow was chosen and why). Persisted as UserStageEvidence rows scoped to (user_id, course_slug, stage_slug). WHEN TO CALL: AFTER the user has articulated something concrete they have built, observed, or decided — not to capture intent or speculation. Pair with me.coaching_context to close evidence gaps. WHEN NOT TO CALL: to log every conversation turn; to record planning, ideas, or todos; on behalf of another user; without the user's awareness (they should know their progress is being recorded). BEHAVIOR: write-only, single insert. Auth: Bearer <token> (Firebase ID token, any plan). UK/EU residency. Notes are visible only to the owning user and are surfaced on me.learning_path / me.coaching_context. Confirms the stage_slug + course_slug pair in the response so the user can see which stage was credited.

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• me.add_evidence

  AI Design Blueprint

  Authenticated — append a free-text evidence note to a specific stage in the caller's active course. Notes record concrete implementation observations, decisions, or artefacts that demonstrate progress through a Blueprint principle (e.g. how a delegation boundary was implemented, what approval flow was chosen and why). Persisted as UserStageEvidence rows scoped to (user_id, course_slug, stage_slug). WHEN TO CALL: AFTER the user has articulated something concrete they have built, observed, or decided — not to capture intent or speculation. Pair with me.coaching_context to close evidence gaps. WHEN NOT TO CALL: to log every conversation turn; to record planning, ideas, or todos; on behalf of another user; without the user's awareness (they should know their progress is being recorded). BEHAVIOR: write-only, single insert. Auth: Bearer <token> (Firebase ID token, any plan). UK/EU residency. Notes are visible only to the owning user and are surfaced on me.learning_path / me.coaching_context. Confirms the stage_slug + course_slug pair in the response so the user can see which stage was credited.

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• get_my_inventory

  Partle Marketplac

  List the caller's personal inventory items. Authenticated. Required OAuth scope: `inventory:read` (or pass an `api_key` for legacy/programmatic clients). Use this when the user asks "what do I own?", "what's on my wishlist?", "what am I selling?", etc. The returned rows include every status by default; pass `status` to filter. Args: status: Filter by lifecycle. One of: ``owned``, ``wanted``, ``for_sale``, ``sold``, ``discarded``. Omit for all. product_id: Filter to rows linked to a specific Partle product. project: Exact-match filter on the project tag. q: Substring search on `name` and `notes` (case-insensitive). limit: Page size, 1–200. Default 50. offset: Pagination offset. Default 0. api_key: Legacy/fallback auth. Omit when using OAuth. Returns: ``{"items": [...], "count": int}`` where each item carries status, quantity, name (or linked product), notes, prices, etc. On auth failure: ``{"error": ...}``.

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• get_my_inventory

  Partle

  List the caller's personal inventory items. Authenticated. Required OAuth scope: `inventory:read` (or pass an `api_key` for legacy/programmatic clients). Use this when the user asks "what do I own?", "what's on my wishlist?", "what am I selling?", etc. The returned rows include every status by default; pass `status` to filter. Args: status: Filter by lifecycle. One of: ``owned``, ``wanted``, ``for_sale``, ``sold``, ``discarded``. Omit for all. product_id: Filter to rows linked to a specific Partle product. project: Exact-match filter on the project tag. q: Substring search on `name` and `notes` (case-insensitive). limit: Page size, 1–200. Default 50. offset: Pagination offset. Default 0. api_key: Legacy/fallback auth. Omit when using OAuth. Returns: ``{"items": [...], "count": int}`` where each item carries status, quantity, name (or linked product), notes, prices, etc. On auth failure: ``{"error": ...}``.

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• update_feedback

  TestMyVibes

  Staff-only triage write. Move feedback through the state machine (new → triaged → planned/wontfix → in_progress → shipped), attach internal notes, or mark as a duplicate of another item. Returns the updated record.

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• prepare_image_upload

  Avocado AI

  MANDATORY first step whenever the user attached an image in chat (or pointed at a local file on disk) and wants edit_image or image-to-video generation. Returns a signed PUT URL plus a file_id. How the bytes get uploaded depends on WHERE you run, and the discriminator is network access to the URL, not shell access: (a) Claude.ai (web, desktop, or mobile app): this tool renders an inline upload widget. The user drops the image into it; it uploads from their browser and pushes the file_id back automatically. Your code-execution sandbox has NO network route to the signed URL — a chat attachment sitting on the sandbox filesystem does NOT mean you can upload it. NEVER attempt curl/fetch/Python uploads from a sandbox and never investigate domain allowlists; just ask the user (one short sentence) to drop the image into the widget, then stop and wait. (b) Claude Code / a CLI with a real shell on the user's machine: run the ready-made curl PUT from the response text. Then call edit_image or generate_video with file_id=<returned id>. edit_image and generate_video do NOT accept base64 — calling them with raw image bytes WILL fail. This tool is the only working path for chat attachments. Set `purpose` to 'edit' or 'video' so the upload widget points the user at the right downstream tool.

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• shippingrates_transit

  freightgate-mcp-server

  Get estimated ocean transit times between two ports across all available carriers. Use this for quick transit time comparison between ports — answers "how long does it take to ship from A to B?" Returns carrier-specific transit durations, service types, and frequencies. For detailed routing with transhipment ports and service codes, use shippingrates_transit_schedules instead. PAID: $0.02/call via x402 (USDC on Base or Solana). Without payment, returns 402 with payment instructions. Returns: Array of { carrier, transit_days, service_type, frequency, direct_or_transhipment }.

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• shippingrates_transit

  FreightGate MCP Server

  Get estimated ocean transit times between two ports across all available carriers. Use this for quick transit time comparison between ports — answers "how long does it take to ship from A to B?" Returns carrier-specific transit durations, service types, and frequencies. For detailed routing with transhipment ports and service codes, use shippingrates_transit_schedules instead. PAID: $0.02/call via x402 (USDC on Base or Solana). Without payment, returns 402 with payment instructions. Returns: Array of { carrier, transit_days, service_type, frequency, direct_or_transhipment }.

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• search_notes

  anamnese

  Search notes by keyword or list recent notes. Returns summaries (id + description) only. Use get_note to retrieve the full content of a specific note. With query: Case-insensitive keyword search on description and content. Without query: Returns most recently updated notes.

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• dashboard-get

  hjarni

  Get an overview of the Second Brain: counts of notes, containers, tags, and inbox items, plus recent_notes (the 5 most recently created personal notes) and recent_changes (the 5 most recently edited notes across ALL spaces — personal, teams, and shared containers — newest edit first). Use recent_changes to orient at the start of a conversation on what changed lately everywhere. No parameters required.

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• notes-delete

  hjarni

  Move a note to Trash. This is RECOVERABLE — the note (with its body, attachments, and history) is restorable with notes-restore until its purge date (default 30 days); it is not an immediate permanent erase. Deleting the wrong note can be undone with notes-restore. Works on your own personal notes and on team notes where you have the editor role. You cannot delete notes in a shared container (only the owner can). Required: id (integer).

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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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