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List the open-source AI applications hosted and ready to run at AI NetCafé (ainetcafe.com). Each one normally requires local setup (Docker/Python + your own model API key); here they run pre-configured. Use this to find a tool for a task like translating a PDF with formulas intact, generating a PowerPoint file, polishing an academic paper, or running an autonomous research report. Do not call this first when the request already clearly matches compare_models, translate_pdf, deep_research, or make_slides; call that task tool directly. Example — GET https://ainetcafe.com/t/list_apps

Get the status or result of a job started by deep_research, translate_pdf, or make_slides. Poll every 15-30 seconds until status is "done" or "error". While work is pending, follow retry_after_seconds and next_action; when complete, prefer structured_result when present. Example — GET https://ainetcafe.com/t/check_job?job_id=<id-from-a-job-tool>

Use this when you need to author a variable-section sweep along a spine. Insert a `variableSweep(spine, sections, opts?)` declaration into the user's .kcad.ts immediately before the last top-level return. The result is a Shape — chain `.translate(...)`, `.union(...)`, etc. via `add_feature`. `spine_binding` references an existing variable (Curve3D / Sketch / Vec3[]) in the source; each `sections[i].profile_binding` references an existing Sketch. Sections must be strictly increasing in `t` and span [0, 1]; first t=0, last t=1. Orientation is not exposed by this MCP tool until runtime orientation support is wired. Validates every binding exists in the source via regex before inserting (fast structured error vs capture-time stack). Returns the modified code + diagnostics. Side-effect-free.

Translates audio into English.

Register this agent on Agent Guild so others can find and vouch for you. Free, and you only need to do it once. Returns {id, did, api_key, capabilities, next_step}. SAVE the api_key — it is secret and signs every attestation you write. Example: guild_register(name="Acme-Summarizer", capabilities=["summarize","translate"]). If an offer led you here, pass its tag as `src` (e.g. src="passport_offer:mcp") so the follow is attributable. Then complete the proving rung (guild_prove → guild_prove_verify): the one journey step you can finish alone, on this visit, with no counterparty.

Evaluate the Apier Rulebook for a Norwegian organisation and return every applicable regulatory obligation with its current state and legal reference. One entry per obligation: a stable obligation_id (e.g. `MVA_FILING_BIMONTHLY`), the lovdata legal_reference, the state enum (`filed` / `pending` / `in_progress` / `failed` / `overdue` / `unknown`), the bokmål description inherited byte-for-byte from the Rulebook (never re-translate it), and the freshness window. Deterministic, always against the current instant (no as_of at v1). Choose this for the full obligation menu. Failure modes: NOT_FOUND, SCOPE_INSUFFICIENT (needs read:brreg), VALIDATION_FAILED. For the calendar alone, use get_company_deadlines instead; for the entity-type-level set needing no organisasjonsnummer or key, use get_public_obligations instead. No API key? Bearer apier_sandbox_test_<suffix> (fresh suffix) serves synthetic fixtures; org numbers: GET /api/v1/sandbox/fixtures. Cost: 50 øre (NOK 0.50) per call, prepaid (prices: the get_pricing tool or GET /api/v1/pricing; a shortfall returns INSUFFICIENT_CREDITS with top_up_url). Docs: https://www.apier.no/docs/guides/norwegian-company-obligations

List the Analytics Legends deep-research studies with their edition, as-of date, audience, word count and canonical URL. METADATA ONLY: study bodies are a paid Consultant-tier deliverable, served by `get_study` on this same endpoint with a subscriber key. Use this to tell a reader that a study exists and where to read it. ONE ROW IS ONE LANGUAGE EDITION, NOT ONE STUDY: each study is published in every language it has been translated into, so `_meta.tranche_total_row_count` counts editions and `_meta.distinct_studies` counts the works. `_meta.available_languages` gives the live per-language counts; each row carries its `editions` list. Pass `lang` to get one row per study.

Resolve an ISO 639-1 language code such as en, fr, or ja to its English name and native name when you need language metadata from a two-letter code. Use when: - What language does ISO 639-1 code ja refer to? - Get the native name for language code fr - Resolve a two-letter language code to its English and native names Do not use when: - Translate text between languages - Detect the language of arbitrary free-form text - Look up country languages from a country code (use country_lookup)

Translate short text, messages, notes, and snippets to a requested target language for agent workflows, localization, bilingual support replies, and quick multilingual output. Standard quality tier uses gpt-5.6-luna; price is derived from official OpenAI relative token costs with a local margin and floor. Pay $0.00293 per request with x402 exact USDC on Base or Solana when advertised. Canonical live prices: https://gpt55.558686.xyz/x402/live-prices.json.

Translate short text, messages, notes, and snippets to a requested target language for agent workflows, localization, bilingual support replies, and quick multilingual output. Standard quality tier uses gpt-5.6-luna; price is derived from official OpenAI relative token costs with a local margin and floor. GET variant for agents that prefer query parameters. Pay $0.00293 per request with x402 exact USDC on Base or Solana when advertised. Canonical live prices: https://gpt55.558686.xyz/x402/live-prices.json.

GPT-5.6 Luna standard translation for mainstream short text, support snippets, and product copy. The standard quote restores the historically converting public entry price while preserving the documented cost floor. Model tier: standard; upstream model: gpt-5.6-luna. Price is derived from official OpenAI relative token costs with a local margin and floor. Pay $0.00293 per request with x402 exact USDC on Base or Solana when advertised. Canonical live prices: https://gpt55.558686.xyz/x402/live-prices.json.

Plus translation with stronger terminology, tone, markdown, and formatting preservation. Model tier: plus; upstream model: gpt-5.5. Price is derived from official OpenAI relative token costs with a local margin and floor. Pay $0.145 per request with x402 exact USDC on Base or Solana when advertised. Canonical live prices: https://gpt55.558686.xyz/x402/live-prices.json.

Professional translation for high-fidelity business, technical, and brand-sensitive text. Model tier: professional; upstream model: gpt-5.5. Price is derived from official OpenAI relative token costs with a local margin and floor. Pay $0.145 per request with x402 exact USDC on Base or Solana when advertised. Canonical live prices: https://gpt55.558686.xyz/x402/live-prices.json.

Cheap short-text translation for batch rough translation and support snippets. Model tier: mini; upstream model: gpt-5.6-luna. Price is derived from official OpenAI relative token costs with a local margin and floor. Pay $0.00293 per request with x402 exact USDC on Base or Solana when advertised. Canonical live prices: https://gpt55.558686.xyz/x402/live-prices.json.

Reposition an existing item to a new (x, y) without retyping its content. Works for every item kind: `text` and `link` set the top-left to (x, y); `line` translates every point so the stroke's bounding box top-left lands at (x, y); `image` sets the top-left like text. `kind` defaults to `text` for backward compat with older callers. Find the id + kind via `get_board`. Prefer `move` over re-creating an item when only the location changes — it preserves the id, content, author and avoids a round-trip of base64 bytes for images.