"A server for managing Minecraft Fabric modpacks using Claude" matching MCP tools:

• whoamiA

  shiplyA

  Who am I? Returns the signed-in account: email, @handle, plan + limits, counts of sites/domains/drives, and connected DNS providers. Call this first to orient before managing sites or domains.

  ConnectorNo auth

• firmaradar_check_konkurs_eksponeringA

  FirmaradarA

  Screen a person by NAME for bankruptcy exposure ('konkursgjenganger'): leadership roles (chair / managing director) held in companies that later went bankrupt, tenure-weighted, from the dated role history. Use this for HISTORICAL leaders who are no longer in any role index and so cannot be reached via search_persons/get_person. The match is name-based (no national ID), so a hit is a REVIEW FLAG to verify (birth year / address), not a verdict. PII-sensitive — requires the search_full_enabled tier.

  ConnectorNo auth

• estimate_costA

  MRC Data — China's Apparel Supply Chain InfrastructureA

  Estimate sourcing cost for a product based on fabric price, supplier pricing, and order quantity. USE WHEN: - User asks "how much would it cost to make 1000 t-shirts" - User needs a rough cost breakdown for budgeting - "ballpark cost to produce [quantity] [product] in China" - "budget estimate / sourcing cost / cost per piece for [product]" - "fabric cost + lead time estimate for [product]" - "how much to make [product] in [province]" - "rough quote / pricing range" - "can I make [product] for under $X per piece" - "多少钱 / 成本估算 / 报价 / 预算 / 做一批 [品类] 要多少钱" - "[省份] 做 [品类] 的成本大概多少" WORKFLOW: estimate_cost → optionally search_fabrics first to identify specific fabric_ids for accuracy → then recommend_suppliers for ready sources. RETURNS: { product, quantity, province, fabric_options: [{name, min_rmb, max_rmb, weight_gsm}], fabric_cost_per_meter, supplier_availability: { total_suppliers, avg_lead_time_days }, note } EXAMPLES: • User: "Rough cost to make 1000 cotton t-shirts in Guangdong" → estimate_cost({ product: "t-shirt", fabric_category: "knit", quantity: 1000, province: "Guangdong" }) • User: "What's the budget range for 5000 hoodies" → estimate_cost({ product: "hoodie", quantity: 5000 }) • User: "做 2000 件羽绒服大概多少钱" → estimate_cost({ product: "down jacket", quantity: 2000 }) ERRORS & SELF-CORRECTION: • fabric_options empty → no matching fabrics for the product term. Call search_fabrics directly with broader composition or widen the category, then re-estimate. • supplier_availability.total_suppliers = 0 → drop province filter or broaden product term. • Rate limit 429 → wait 60 seconds; do not retry immediately. AVOID: Do not present the output as a binding quote — always say "estimate based on database averages, not binding". Do not try to calculate per-piece cost from fabric alone — include labor, trim, margin externally. Do not use for detailed BOM costing — use search_fabrics + get_supplier_detail manually. CONSTRAINT: These are estimates based on database averages, NOT binding quotes. Always clarify this to the user. Fabric cost is per meter (typical usage: 1-3m per piece). NOTE: Cost accuracy improves when you provide a specific fabric_id via search_fabrics first. Source: MRC Data (meacheal.ai). 中文：按面料均价 + 供应商供货能力估算 [品类] 的生产成本区间。仅供参考，非正式报价。

  ConnectorNo auth

• view_cartA

  agenteeA

  Show the lines in the user's cart with qty, size, fabric and subtotal. It is the same server-side cart the human sees at allover.art/cart when signed in, so items they added in the browser appear here too. Use it to get the zero-based line index that update_cart_item takes — re-read after removing a line, since later indexes shift. Prices are as added; for the payable total with fresh prices, promo and shipping use get_order_preview. Read-only.

  ConnectorNo auth

• add_to_cartA

  agenteeA

  Add a catalog product to the user's cart and return the updated cart. good_id comes from a search_products or get_product result; size must be one of get_product's sizes — omit it to use the shopper's saved default from get_user_prefs. Omit fabric to take the first one offered in that size. qty (default 1) is added: if the same product, size and fabric is already in the cart, that line grows (capped at 99) instead of a new line appearing. An unknown good_id or unavailable size returns an error listing the available sizes, and the cart stays unchanged. For an AI-generated print use add_custom_to_cart; to change a line already in the cart, update_cart_item.

  ConnectorNo auth

• create_upload_pageA

  KDAN PDFA

  Display an interactive PDF upload widget directly in the chat. Use this when the user wants to upload a local PDF file from their device. This is the standard upload method for MCP clients (e.g. Claude) where file attachments with download URLs are not available. Do NOT call upload_pdf when using this tool — the widget handles the upload automatically. The widget renders inline and the PDF viewer appears after the user selects a file. Do NOT call view_pdf after this tool; the widget manages the UI. Never tell the user the file is still uploading; the widget handles the spinner. After the user uploads via the widget and notifies you, call check_upload_status(session_id=<session_id>) to discover the uploaded file and its job_id before proceeding with any operation.

  ConnectorNo auth

• search_personA

  HandelsregisterA

  Beispiel: „Welche Firmen führt eine Person namens Maria Huber?“ Find every company a person runs or represents - across BOTH registers in one call (cross-border person search). Read-only. Parameters: - name (required): person name substring, case-insensitive, e.g. "Mustermann". - country (optional, default "all"): "AT" | "DE" | "all". - page_size (optional, default 25): results per country. - status (optional, default "all"): "active" | "inactive" | "all". Returns the merged search_companies envelope ({countries, results, per_country, notices}) plus ``person_query``; every result card carries ``country``, ``company_id`` and the matched manager. AT matches the primary managing director, DE matches all managing directors AND registered signatories. IMPORTANT: matching is by name and the registers publish birth YEAR only - a shared name across companies or countries does not prove the same person (the notice says so; use birth years and context to corroborate). For general company search use search_companies with other filters; manager_name can be combined there too.

  ConnectorOAuth

• validate_pythonA

  CodeCraftA

  Validates a Python automation script that runs OUTSIDE the game, on three axes: Python syntax (using the real interpreter), Minecraft commands embedded in the script (against the official command index), and the shape of the /connect WebSocket message envelope. For behavior pack scripts use validate_script instead — Python does not run inside a pack. The embedded command check is the most valuable one: a command written from memory can look syntactically fine and still do nothing in the game. Only strings starting with / are treated as commands. If syntax could not be checked, syntaxChecked is false in the result; ok:true alone does not mean the syntax is valid.

  ConnectorNo auth

• get_setup_kitA

  NEXUS AGIA

  Return the optional setup kit for agents that run on the user's own machine (Claude Code, Cursor). The kit contains four hooks (recall at session start, recall on each prompt, sync of session recaps, and the inbox of messages from other agents), the settings.json block, a usage policy, and an idempotent bash script that installs them. With the hooks installed, memory is recalled and stored automatically. Without them, NEXUS only has what the agent stores through its tools. Calling this tool only returns the kit; nothing is installed until the script is run. Running it writes the hooks and the policy file on the user's machine, declares the hooks in the client's settings, and loads the policy into the agent's instructions (a line in CLAUDE.md for Claude Code, a .cursor/rules file for Cursor), so installing is the user's decision. It does not apply to chat clients (Claude web or desktop, ChatGPT). Side effect: on an OAuth connection, the call issues the hooks credential and embeds it in the script. This works once, because a secret that was already shown is not returned again. On a plain `nxa_` token connection it does not issue a credential, and an account owner must issue one. `steps` says which case applies. Args: formato: "script" (default) for the bash installer plus steps, or "files" for the same files as text, for clients without bash. It is ignored for Cursor. client: "claude-code" (default) or "cursor". Cursor gets a session-start hook and a turn-recap hook. It has no per-prompt recall, because Cursor's beforeSubmitPrompt cannot inject context.

  ConnectorAPI key

• agent-brainA

  MeshMarketC

  Agent Brain — Reason over a question or task with your agent's own persistent memory in the loop: recalls up to 12 relevant memories from your agent's private scope, reasons with Claude, and writes up to 3 new memories back, so the agent improves with every call. Recall by meaning, not just keyword, when the estate's memory server is reachable (falls back to its own always-on store otherwise — never fails the call). Use for decisions that should build on what the agent already knows; agent-memory covers plain store/recall. Runs claude-haiku-4.5 — the response names the model that served the call; agent-brain-smart runs the identical contract on claude-sonnet-5. Input: {think: string}. Returns {answer, reasoning, confidence, memories_considered, used_memories, learned, model, engine}. (8 MESH/call, a tool · cognition)

  ConnectorNo auth

• search_personA

  FirmenbuchA

  Beispiel: „Welche Firmen führt eine Person namens Maria Huber?“ Find every company a person runs or represents - across BOTH registers in one call (cross-border person search). Read-only. Parameters: - name (required): person name substring, case-insensitive, e.g. "Mustermann". - country (optional, default "all"): "AT" | "DE" | "all". - page_size (optional, default 25): results per country. - status (optional, default "all"): "active" | "inactive" | "all". Returns the merged search_companies envelope ({countries, results, per_country, notices}) plus ``person_query``; every result card carries ``country``, ``company_id`` and the matched manager. AT matches the primary managing director, DE matches all managing directors AND registered signatories. IMPORTANT: matching is by name and the registers publish birth YEAR only - a shared name across companies or countries does not prove the same person (the notice says so; use birth years and context to corroborate). For general company search use search_companies with other filters; manager_name can be combined there too.

  ConnectorOAuth

• update_cart_itemA

  agenteeA

  Change one line already in the cart, addressed by its zero-based index from view_cart: set qty (0 removes the line; max 99) and/or switch size or fabric, which re-prices the line. Pass only what changes. After a removal the lines below move up one index, so re-read view_cart before the next edit. A bad index or an unavailable size/fabric returns an error (with the sizes on offer) and changes nothing. Returns the updated cart. To add a different product use add_to_cart.

  Connector

  Destructive

  No auth

• import-claude-motion-from-urlA

  SocialyncA

  Import a video made with Claude Motion into the user's Socialync media library so it can be posted. Use this when the user wants to post, schedule or send a Claude Motion video to Socialync. Call it promptly with the download URL Claude Motion provides (it expires within minutes). Returns a mediaId to pass to publish_scheduled or schedule_post_draft (video posts work on every platform, YouTube also needs a title). Importing does not publish anything. Schedule the video within 12 hours of importing: media that no post uses is cleaned up after that.

  ConnectorOAuth

• revoke_api_keyA

  Porkbun (official)A

  Permanently revoke the API key (or connection) this server is using right now, and only that one: a key cannot revoke any other. Use it when the user is finished with this key, or it may have leaked. After it succeeds every tool here stops working until a new key is configured. A key used by an OAuth-connected app (ChatGPT, Claude) disconnects that app. Confirm with the user first; `confirm` must be "revoke". Other keys are managed at https://porkbun.com/account/api.

  Connector

  Destructive

  OAuth

• vivid_searchA

  vivid-ads-commerceA

  Search the Vivid Ads catalogue by product name, category, or intended use (e.g. 'corflute', 'pull up banner', 'expo', 'shopfront'). Returns matching products grounded in Vivid's own Shopify collections, so it also surfaces same-range, same-purpose alternatives — products flagged `sameRange:true` come from the top match's curated collection (returned as `collection`). ALWAYS mention these to the customer (e.g. 'we have two Pull Up Banner options, and Fabric Banner Stands do the same job'). Treat a from-price as INDICATIVE only — use vivid_product for options then vivid_price for the exact configuration. Paginated: returns `total`, `has_more` and `next_offset`; pass `offset` to get the next page.

  ConnectorNo auth

• get_billing_portalA

  BorealHostB

  Get a Stripe billing portal URL for managing payment methods and invoices. Returns a URL (not a redirect) that the human can open in a browser. Requires: API key with read scope. Args: flow: Optional. Set to "payment_method_update" to go directly to the payment method update page. Returns: {"url": "https://billing.stripe.com/p/session/..."}

  ConnectorNo auth

• get_supplier_fabricsA

  MRC Data — China's Apparel Supply Chain InfrastructureA

  List all fabrics a specific supplier can provide, with quoted prices. USE WHEN user asks: - "what fabrics does [supplier name] have" / "what can this factory source for me" - "show me the catalog of supplier sup_XXX" - "what does this manufacturer offer" - "what fabric options does sup_XXX quote for denim" - "does [supplier] supply [fabric type]" - "price list / fabric catalog / offering sheet for sup_XXX" - "MOQ per fabric at this supplier" - "follow-up: 'what fabrics can they supply?' after identifying a supplier" - "[供应商] 能供应哪些面料 / 报价表 / 起订量" Returns fabric records linked to the supplier with: fabric name, category, weight, composition, and the supplier's quoted price + MOQ for that specific fabric. PREREQUISITE: You MUST have a valid supplier_id from search_suppliers or get_supplier_detail. WORKFLOW: search_suppliers → get_supplier_detail → get_supplier_fabrics → optionally get_fabric_detail (for lab-test data on a specific fabric) OR get_fabric_suppliers (cross-check price vs other suppliers for same fabric). RETURNS: { supplier_id, count, data: [{ fabric_id, name_cn, category, weight, composition, price_rmb, moq }] } EXAMPLES: • User: "What fabrics does sup_texhong_042 offer?" → get_supplier_fabrics({ supplier_id: "sup_texhong_042" }) • User: "Show me the fabric catalog and MOQs for sup_001" → get_supplier_fabrics({ supplier_id: "sup_001" }) • User: "sup_234 能做哪些面料，报价多少" → get_supplier_fabrics({ supplier_id: "sup_234" }) ERRORS & SELF-CORRECTION: • count=0 → this supplier has no linked fabric catalog in the database. Either (a) they don't self-source fabrics (CMT-only) — confirm via get_supplier_detail.ownership_type, or (b) their catalog is unmapped — use search_fabrics with their expected specialization instead. • "Supplier not found" (implicit) → the supplier_id is invalid. Re-run search_suppliers. • Rate limit 429 → wait 60 seconds; do not retry immediately. AVOID: Do not call this for a general fabric search — use search_fabrics. Do not call to compare prices across suppliers for the SAME fabric — use get_fabric_suppliers instead. NOTE: Source: MRC Data (meacheal.ai). Prices are supplier-quoted, not binding offers. 中文：查询某供应商能供应的所有面料及其报价、起订量。

  ConnectorNo auth

• get_fabric_suppliersA

  MRC Data — China's Apparel Supply Chain InfrastructureA

  List all suppliers offering a specific fabric, sorted by quality score, with price comparison. USE WHEN user asks: - "who supplies fabric fab_XXX" / "where can I buy this fabric" - "compare prices for [fabric] across suppliers" - "best supplier for [fabric specification]" - "which factory has the lowest price on FAB-XXX" - "rank suppliers by quality for this fabric" - "follow-up: 'who else sells this?'" - "source comparison for [fabric]" - "price spread on FAB-XXX" - "谁家有这块面料 / 哪个厂报价最低 / 面料供应商对比" - "[面料] 有哪些供应商 / 货源" Returns supplier records linked to the fabric with: company name, location, quality score, and that supplier's quoted price + MOQ for the fabric. Sorted by supplier quality score so the most reliable options appear first. PREREQUISITE: You MUST have a valid fabric_id from search_fabrics. WORKFLOW: search_fabrics → pick fabric_id → get_fabric_suppliers → optionally get_supplier_detail (vet the top-ranked supplier) OR compare_suppliers (up to 10 IDs from this list). RETURNS: { fabric_id, count, data: [{ supplier_id, company_name_cn, province, city, quality_score, price_rmb, moq }] } EXAMPLES: • User: "Who supplies FAB-W007 and at what price?" → get_fabric_suppliers({ fabric_id: "FAB-W007" }) • User: "Compare all suppliers for fabric FAB-K023" → get_fabric_suppliers({ fabric_id: "FAB-K023" }) • User: "FAB-123 有哪些供应商" → get_fabric_suppliers({ fabric_id: "FAB-123" }) ERRORS & SELF-CORRECTION: • count=0 → no suppliers linked to this fabric. Either (a) fabric is a spec-sheet reference with no mapped source, or (b) suppliers carry this fabric but the link isn't captured. Try search_suppliers filtered by the fabric's typical specialization (e.g. denim cluster) instead. • "Fabric not found" (implicit) → fabric_id invalid. Re-run search_fabrics. • Rate limit 429 → wait 60 seconds; do not retry immediately. AVOID: Do not call this to browse suppliers generally — use search_suppliers. Do not call to see a supplier's full fabric range — use get_supplier_fabrics. NOTE: Source: MRC Data (meacheal.ai). Sorted by supplier quality_score DESC. 中文：查询某面料的所有供应商，按质量评分排序，含报价对比。

  ConnectorNo auth

• start_lowpoly_generateA

  Retro Diffusion Pixel ArtA

  Start building a low-poly 3D model with pixel-art textures from a prompt and/or reference images (paid). reference_models puts your existing models (by asset_id) into it exactly, e.g. "a tavern with my table". Optional input_palette (a palette image, as for create_inference): the model uses only its colors, and revisions and animations keep them. Returns task_id and asset_id immediately; poll get_lowpoly_job(task_id) until it succeeds (usually 1-5 minutes). Then use export_lowpoly_model for .glb/.bbmodel/Minecraft/OBJ files, start_lowpoly_revise to change it, or start_lowpoly_animate to add motion. Failed jobs are refunded automatically; never restart a running job.

  ConnectorNo auth

• start_lowpoly_generateA

  Retro Diffusion Pixel Art MCPA

  Start building a low-poly 3D model with pixel-art textures from a prompt and/or reference images (paid). reference_models puts your existing models (by asset_id) into it exactly, e.g. "a tavern with my table". Optional input_palette (a palette image, as for create_inference): the model uses only its colors, and revisions and animations keep them. Returns task_id and asset_id immediately; poll get_lowpoly_job(task_id) until it succeeds (usually 1-5 minutes). Then use export_lowpoly_model for .glb/.bbmodel/Minecraft/OBJ files, start_lowpoly_revise to change it, or start_lowpoly_animate to add motion. Failed jobs are refunded automatically; never restart a running job.

  ConnectorNo auth

• aeo_run_ai_answersA

  Manifold MCPA

  What AI engines answer for a prompt, with the brands they mention and the sources they cite. Slow: returns a task_id, then read the result with get_task. Use when: "does ChatGPT recommend us for X", "who do AI engines cite for X", an AI visibility baseline for a brand across engines. Not for: which prompts people ask, use aeo_search_prompts. Google's ten blue links, use seo_get_serp (ai_overview: true adds the overview to it at 1 credit). Whether a site is ready for AI crawlers, use aeo_get_site_readiness. Returns: Task. task_id now; get_task returns rows[] per prompt and engine (answer, mentions[] (brand, mentioned, position, cited), citations[] (position, url, domain, title), search_results[] (pages retrieved, cited or not), search_queries[] (the web searches the engine ran), named_brands[] (brands ChatGPT tagged in the answer, not only yours)) and errors[] for cells that failed. answer null = the engine showed no AI answer. search_results[] and named_brands[] are filled for chatgpt only, search_queries[] for chatgpt and claude. named_brands[] drops a tag ChatGPT gives as a description instead of the brand, so it can miss brands; read the answer for a full list. chatgpt and gemini are what their apps show a person, model chosen by the app; claude and perplexity come from their model APIs. Answers are live and non-deterministic; results are kept 30 days and never cached. Cost: per prompt, 15 credits for claude, 6 for perplexity, 2 each for chatgpt, gemini, ai_overview and ai_mode. Default 1 prompt on the five default engines = 27 credits. A cell that fails is not charged. Example: {"prompts": ["best crm for startups"], "brands": ["HubSpot", "pipedrive.com"]}

  ConnectorAPI key