"How to generate MIDI files for Cubase or other DAW software" matching MCP tools:

• analyze_reviewA

  ListingGood MCPA

  Analyze a negative Amazon review for root cause and a suggested response (async; 2 credits). Extracts the underlying issue from a critical review and drafts a brand-appropriate response angle. Use this after a negative review appears, to decide how to reply. Do NOT use it to generate a listing or an appeal - use generate_listing or generate_poa for those. Read-only; deducts 2 credits; runs asynchronously, poll for the result. Args: text: the negative review text (required). marketplace: marketplace code (default US). lang: zh or en (default en).

  ConnectorNo auth

• dnd5e-item-activateA

  Foundry MCPA

  Activate an item with full Foundry automation — triggers Midi-QOL and other automation module hooks. Use for combat actions: melee/ranged attacks, spell casting, abilities. Pass targetTokenIds for attacks — Midi-QOL will auto-roll attack, check AC, roll damage, apply HP loss. For AoE spells pass templatePosition. Circle AoE (Fireball): x,y = center of effect (avg target positions). Cone/Line AoE (Cone of Cold, Lightning Bolt): x,y = caster token position, direction = angle toward targets (direction = atan2(targetY - casterY, targetX - casterX) * 180 / PI, add 360 if negative). Pixel coords: pixel = gridCoord * gridSize + gridSize / 2. Unlike dnd5e-item-use, this does NOT suppress hooks or dialogs, so automation modules work fully. Use scene-get to find target token IDs and grid info, item-list to find item IDs. Prefer this over dnd5e-item-use when targets, templates or automation matter.

  ConnectorAPI key

• axint.agent.releaseA

  AxintA

  Release active local Axint file claims for this agent after finishing or abandoning a task. This keeps parallel agents and Xcode from blocking each other on stale claims. Use: use after finishing or abandoning claimed files; use agent.claim before edits and agent.advice for next steps. Inputs: agentId releases only its matching claims unless files narrow the release set. Effects: updates local coordination claims under .axint/coordination; no network.

  ConnectorNo auth

• tfgenerateA

  InsideOut (Riley)A

  WORKFLOW: Step 3 of 4 - Generate Terraform files from completed design Generate Terraform files from an InsideOut session that has completed infrastructure design. ⚠️ PREREQUISITE: Only call this AFTER convoreply returns with `terraform_ready=true` in the response metadata. DO NOT call this while convoreply is still running or before terraform_ready is confirmed! If you get 'session has not reached terraform-ready state', wait for convoreply to complete first. 🎯 USE THIS TOOL WHEN: convoreply has returned with terraform_ready=true, OR the user asks to 'see the terraforms', 'generate terraform', 'show me the code', etc. **DEFAULT RESPONSE**: Returns summary table + download URL (keeps code out of LLM context). **FALLBACK**: Set `include_code: true` to get full code inline if curl/unzip fails. **CRITICAL WORKFLOW** (default mode): 1. Call this tool to get file summary and download URL 2. ASK the user: 'Where would you like me to save the Terraform files? Default: ./insideout-infra/' 3. WAIT for user confirmation before running the download command 4. Run the curl/unzip command with the user's chosen directory 5. If curl/unzip FAILS (sandbox, security, platform issues), retry with `include_code: true` **AFTER GENERATION**: Ask user if they want to review the files and then deploy with tfdeploy REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: include_code (boolean) - set true to return full code inline as fallback. 💡 TIP: Examine workflow.usage prompt for more context on how to properly use these tools.

  ConnectorNo auth

• tfgenerateA

  InsideOut (Riley)A

  WORKFLOW: Step 3 of 4 - Generate Terraform files from completed design Generate Terraform files from an InsideOut session that has completed infrastructure design. ⚠️ PREREQUISITE: Only call this AFTER convoreply returns with `terraform_ready=true` in the response metadata. DO NOT call this while convoreply is still running or before terraform_ready is confirmed! If you get 'session has not reached terraform-ready state', wait for convoreply to complete first. 🎯 USE THIS TOOL WHEN: convoreply has returned with terraform_ready=true, OR the user asks to 'see the terraforms', 'generate terraform', 'show me the code', etc. **DEFAULT RESPONSE**: Returns summary table + download URL (keeps code out of LLM context). **FALLBACK**: Set `include_code: true` to get full code inline if curl/unzip fails. **CRITICAL WORKFLOW** (default mode): 1. Call this tool to get file summary and download URL 2. ASK the user: 'Where would you like me to save the Terraform files? Default: ./insideout-infra/' 3. WAIT for user confirmation before running the download command 4. Run the curl/unzip command with the user's chosen directory 5. If curl/unzip FAILS (sandbox, security, platform issues), retry with `include_code: true` **AFTER GENERATION**: Ask user if they want to review the files and then deploy with tfdeploy REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: include_code (boolean) - set true to return full code inline as fallback. 💡 TIP: Examine workflow.usage prompt for more context on how to properly use these tools.

  ConnectorNo auth

• how_munimji_helpsA

  HelloBooks AI AgentsA

  Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.

  ConnectorNo auth

• how_munimji_helpsA

  HelloBooks AI Agents MCP ServerA

  Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.

  ConnectorNo auth

• get_contact_infoA

  GYOTAK Fish MarketA

  Get the two ways to buy from GYOTAK, with the contact details for each: retail (order here through place_order, or browse the web shop) and B2B wholesale for restaurants and businesses (LINE @284ezjvm, tier pricing, application required). Call this when the user asks how to buy, how to open a wholesale account, or how to reach GYOTAK. Takes no arguments and returns static text — for product availability or prices use get_catalog, and for other questions use ask_gyotak.

  ConnectorNo auth

• how-toA

  Fast.ioA

  Built-in product help — ask a natural-language "how do I…" question about Fastio and get a grounded, product-aware answer (or a short clarifying question) back in one call. EXPLAIN-ONLY / ADVISORY: it returns GUIDANCE TEXT and performs NO platform action (it will not create shares, move files, or change anything) — read the guidance, then act with the other tools. Answers are grounded in Fastio's own how-to knowledge AND phrased in terms of these MCP tools — they name the concrete `<tool> action="…"` calls to make — so prefer this over guessing endpoints or burning exploratory calls. For Q&A over YOUR uploaded files (RAG) use the `ai` tool instead — `how-to` answers questions about Fastio ITSELF. FREE and requires only an authenticated user (no org, no plan gate, no billing). Call action='describe' for the full action/param reference.

  ConnectorNo auth

• get_sourcesA

  World MonitorC

  WorldMonitor's live source inventory, for deciding whether and how far to trust what the other tools return.

  ConnectorOAuth

• save_file_from_urlA

  YouSpotB

  Download a file from a public http(s) URL and store it in the user's Second Brain as a file object — use when the user shares a direct link to a PDF, image, spreadsheet, or other file and asks to save, download, or keep it. The saved file shows up with their uploads and can be read afterwards with read_file. Not for web pages (that is read_web_page with save=true) and not for files behind a sign-in. Files over 50MB are refused.

  ConnectorNo auth

• generate_logo_variationsA

  BrandizeA

  Generate alternate style directions for an existing generate_logo job. Free — no checkout — but limited to this job's free-preview credit (1 by default; a COMPLETE purchase grants 2 more, other tiers grant none). Returns the same kind of watermarked, low-res preview as generate_logo, plus how many free credits remain. Before any purchase, each result's variationId can be passed to buy_logo_variation to purchase that design instead of the original. On an already-purchased COMPLETE job, this instead adds more alternates to the deliverable itself (retrieve via get_logo_result as usual) — call it again there if the user wants more once revisionCredits allows. Any other purchased tier refuses outright — its deliverable is fixed.

  ConnectorNo auth

• searchA

  canton-ccpediaA

  Keyword/full-text search over the Canton Network knowledge base (CIPs, Canton/Daml/Splice docs, forum, mailing lists, whitepapers, grant proposals, blog, YouTube, GitHub). Canton-specific. Do NOT use for other blockchains, the web, or local files. Use this for exact-term/name lookups; use semantic_search instead for conceptual or 'how does X work' questions, and get_doc to read a full page once you have its id. NOTE: forum matches cover the topic TITLE and the FIRST POST only; a term that appears only inside a forum reply will not surface here, so use semantic_search (which indexes all forum post bodies) when a forum discussion is likely and this returns nothing.

  ConnectorNo auth

• get_started_guideA

  canton-ccpediaA

  Generate a personalized Canton Network developer onboarding/quickstart path. Use when a developer asks how to start building, build a dApp, or develop on Canton specifically. Canton-only. Do not use for onboarding to other chains or tools. Ask the user's background first (EVM, Solana, Sui/Move, Web, Enterprise, or New to Blockchain). Prefer this over 'search' for 'how to build / get started on Canton'; use get_faq for a single specific gotcha and get_api_reference for API details.

  ConnectorNo auth

• nifra_learnA

  Nifra docsA

  Walk the guided path to build a nifra app end to end - an ORDERED sequence (create → page route → loader → typed API → typed client → auth → background jobs → deploy), not the random-access search of nifra_docs/nifra_example. Call with no args for the step index; pass `step: N` for that step's goal, how to do it (which tool emits the correct artifact), and how to verify it. Use it when scaffolding a new app or learning nifra's flow - each step composes the other nifra_* tools.

  ConnectorNo auth

• get_solution_detailA

  Tuki — Travel Marketplace (Chile y Latinoamérica)A

  Get full detail for a Tuki solution: description, who it is for, capabilities, status and contact / CTA. Use after `list_solutions` or when the user asks about a specific Tuki product (WhatsApp Booking OS, boutique ticketing, rental inventory software, event post-sale, tailor-made tourism software).

  ConnectorNo auth

• suggest_classesA

  Antevo TrademarkA

  Which Nice classes a business like this files in. Free, no account, no database. The question people cannot answer for themselves: not "is my name taken" but "taken in WHAT". Nice has 45 classes and the numbering is opaque — software you download is class 9, software you log into is class 42, and selling other people's goods is class 35 whatever the goods are. Filing in one and not the other is the most expensive routine mistake in the process. Run this BEFORE screen_mark when someone describes a business rather than naming a class: the classes it returns are what makes a screen mean anything. Relay the reasoning, not just the numbers, and keep the closing caveat — this reports how similar businesses file, and their counsel decides what they actually file.

  ConnectorNo auth

• get_market_overviewA

  crowdspaceA

  Aggregate figures for a slice of the crowdfunding market: how many platforms operate there, how many are regulated and by whom, the minimum / maximum / average advertised return and minimum investment, the spread of funding volumes and founding years, and the distribution across investment types and industries. Slice it by country, industry, region or any other catalogue filter — omit them all for the whole market. Use it for "how big / how regulated / what is typical" questions. Do NOT use it to name platforms — it returns no platform names; search_platforms does that. Figures reflect the live catalogue at the time of the call.

  ConnectorNo auth

• get_devicesA

  FlowseryA

  Get visitors split by device type (desktop, mobile, tablet), ranked by visitors descending, for a date range. Use this for the mobile-versus-desktop question; use get_browsers or get_operating_systems for the software split. Pass filter_device to any other tool to restrict it to one device type instead. Three rows at most, so pagination rarely matters. Rows carry value, visitors, revenue, and percentage. Dates default to the last 30 days; all filter_* arguments apply. Requires websiteId or domain with a workspace token.

  ConnectorOAuth

• ask_about_hubspot_companiesA

  YouSpotB

  Query the user's HubSpot companies — the companies synced from the HubSpot portals they've connected. Use this for any question about their CRM companies: firmographics ('software companies with more than 100 employees'), lifecycle and pipeline ('companies with an open deal', 'how many customer accounts?'), location ('companies in Boston'), funding and size ('which companies raised money?', 'biggest companies by revenue'), or attribution. Answered by generating a read-only SQL query over the synced company table, so it returns columns and rows rather than prose — summarize the rows for the user, and say how many there were. If it reports no companies synced, tell them to run a company sync for their portal. Keep the question under 500 characters.

  ConnectorNo auth

• enquiry_describeA

  siteB

  Read first. States plainly what submit_enquiry does on Dental Software Compare: it starts an enquiry with human providers who quote directly. Nothing is bought, ordered or paid; no quote is guaranteed; it is free. Also returns who receives the details, the consent wording, and how the person confirms.

  ConnectorNo auth