Tool search 164,478 tools · 10,067 live servers

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.

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)

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.

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

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.

Translate text into target_lang (e.g. 'Spanish', 'ja').

Fetch a specific Anahana article as markdown, given its full URL, site-relative path (e.g. "/en/angel-numbers/111-angel-number/"), or a bare slug from search_content results (e.g. "111-angel-number"). Tries two fetch modes against the live site in order: (1) content negotiation — GET the article URL with `Accept: text/markdown`; (2) the path-based markdown mirror at `<article-url>index.md`. Both are live. Page chrome (skip link, table of contents with dead anchors, back-to-top anchor, analytics pixel) is stripped, so what you get back is the article body. If both modes fail, returns a clear error naming the canonical HTML URL instead of silently failing. Works in all 24 languages: a full URL or a site-relative path already names its language, and a bare slug is resolved in the language given by `language` (English by default). Article slugs are identical across languages — only the title and body are translated — so the same slug plus a different `language` gives you the same article in that language.

Traduit un texte entre le bambara et 13 autres langues. Les codes de langue combinent langue et ecriture : bam_Latn (bambara), fra_Latn (francais), eng_Latn (anglais), et ainsi de suite.

Fetch the full text of a transcript that someone has shared publicly from RiverScript, given its share link. Use this when the user pastes a riverscript.com/share/... link, or asks about the contents of one, so you can answer questions about the recording, summarise it, pull quotes, or translate it. Works for transcripts and for translations of transcripts. Only returns transcripts whose owner made them public; private, expired, or deleted links return nothing.

Translate up to 200 text segments in a single call - the same result that would otherwise take 200 separate calls to translate a whole file. Markdown, HTML and {x} placeholders preserved per segment, order and count kept intact, source language auto-detected, automatic fallback across multiple models for uptime, providers that train on submitted prompts excluded. A single string also works. No account, no API key. Try GET /translate/sample.

Translate text.

Fetch one prompt in full by slug (or UUID): complete prompt text, structured metadata (model, prompt type, style, quality assessment), author, media and source attribution. Optional locale (es, pt, fr, zh, de, ja) returns the translated version.

List the available translations of a prompt (locale + translated title).