"Latest API Documentation for Language Models" matching MCP tools:

• translate_rare_language

  Sats4AI - Bitcoin-Powered AI Tools

  Translate into 452 languages, 251 of them NOT supported by ChatGPT, Claude or Gemini (29 of those 251 measured at fair quality or better against human references) — including Bhojpuri (~50M speakers), Maithili (~34M), Egyptian Arabic (~100M), Moroccan Arabic (~30M), Chhattisgarhi, Magahi, Manipuri, Kashmiri, Shan, Kachin, Awadhi, Tamazight, Crimean Tatar, Quechua, Nuer, Sango, plus indigenous and minority languages with no callable API anywhere. Runs MADLAD-400 (Apache-2.0). QUALITY VARIES AND IS PUBLISHED PER LANGUAGE: every language carries a measured tier — good (chrF++ >= 45 vs human reference translations), fair (32-45), unverified (no benchmark exists, untested, may be poor), experimental (known weak). The response repeats the tier so you can judge how much to trust it. GET https://sats4ai.com/api/l402/translate-rare-language for the full language list with tiers, or GET /api/languages. Unsupported languages are rejected BEFORE payment. For mainstream languages use translate_text instead — it is cheaper and more fluent. Priced 50 sats base + 0.002 sats/char (GPU). Pay with Bitcoin Lightning — no API key or signup. Requires create_payment with toolName='translate_rare_language'.

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• get_fonto_page

  Fonto Docs

  Fetch the full content of a Fonto documentation page by its slug (the part of the URL after /latest/). Use search_fonto_docs or list_pages first to find the right slug.

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• search_n_top

  docs

  Search across the nTop knowledge base to find relevant information, code examples, API references, and guides. Use this tool when you need to answer questions about nTop, find specific documentation, understand how features work, or locate implementation details. The search returns contextual content with titles and direct links to the documentation pages. If you need the full content of a specific page, use the query_docs_filesystem tool to `head` or `cat` the page path (append `.mdx` to the path returned from search — e.g. `head -200 /api-reference/create-customer.mdx`).

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• search_api_docs

  Soracom Knowledge MCP Server

  Search SORACOM API documentation, CLI references, and SAM permissions. Use for exact API endpoints, soracom-cli commands, or SAM permission strings. Use search_soracom_docs for service guides, console how-tos, pricing, or IoT recipes. Use get_document on `#/schema/<Name>` links in results to read full API schema fields.

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• openmeteo_get_climate

  open-meteo-mcp-server

  Long-range climate projections from bias-corrected daily CMIP6 models, covering 1950-01-01 to 2050-12-31 at any coordinate. Answers "what will conditions look like through 2050?" — the future-projection counterpart to openmeteo_get_historical (ERA5, what happened). Daily resolution only. Available models: "CMCC_CM2_VHR4", "FGOALS_f3_H", "HiRAM_SIT_HR", "MRI_AGCM3_2_S", "EC_Earth3P_HR", "MPI_ESM1_2_XR", "NICAM16_8S". With 2+ models each variable appears once per model with the model name as suffix (e.g. temperature_2m_max_CMCC_CM2_VHR4); a single or omitted model returns plain variable names. Not all models carry all variables — missing combinations return null. Multi-decade daily pulls across several models produce thousands of records and spill to DataCanvas for SQL querying when canvas is enabled.

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• get_started

  wallet-tracker

  How to use CabalSpy: where to get a free API key (1000 requests, no cost), pricing, documentation, and what the data covers. Call this first if you do not have a key yet, or if another tool returned an auth error.

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• list_image_models

  FavCRM

  List AI image-generation models exposed to merchants (sanitized — provider/cost details hidden). Use to pick a `modelCode` for `generate_post_cover`.

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• fetch_data

  Sugra API

  One-step fetch: find the best Sugra endpoint for the query and call it. Combines search_endpoints + call_endpoint into a single round trip. Use this when you want data without manually picking an operation_id. The full search_endpoints + describe_endpoint + call_endpoint dance is still available when you need explicit control, but for most natural-language queries this tool is enough. Behavior: 1. Search the bundled catalog for the query. Top match wins. 2. If the matched endpoint has required parameters and they are all provided in `params`, call it and return the response. 3. If required parameters are missing, return the candidate endpoints and the missing-params list so the LLM can retry with the correct `params` dict on the next call. Examples: - `fetch_data("US CPI inflation", params={"series_id": "CPIAUCSL"})` → calls /api/v1/fred/series/CPIAUCSL, returns observations. - `fetch_data("Bitcoin price", params={"coin_id": "bitcoin"})` → calls /api/v1/crypto/bitcoin/price. - `fetch_data("Latest financial news")` → news_latest has no required params, returns latest news directly.

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• avizo_docs

  avizo-mcp

  Without arguments: lists every documentation page on avizo.ro/docs (quickstart, alert cadence, hierarchical escalation, SmartBill integration, API reference, troubleshooting) with slug and description. With {slug}: returns that page as markdown — the exact content the site renders. For programmatic integration read {slug: "api-reference"}.

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• ask_site

  agentready-mcp

  Query any website's documentation and get cited, multi-page answers in natural language. Use ask_site when you need: (1) answers that synthesize information across multiple pages of a site, (2) documentation from JS-rendered sites (React, Next.js, Vue SPAs) where web_fetch returns empty or partial HTML, (3) citations linking back to the exact source pages, (4) faster results than fetching and reading individual pages one by one. For sites not yet indexed, ask_site auto-crawls and answers in ~60s — no separate submit_site call needed.

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• list_models

  Genomic Intelligence

  List available models for a task. Use to discover model ids before passing one as the `model` argument to a predict tool. The same catalog is also available as the resource `gi://models`.

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• invoke_mtproto

  Fast MCP Telegram

  Low-level Telegram API (MTProto) invoke for methods not wrapped by other tools. Dangerous methods require allow_dangerous=true. Success: API result dict or normalized error. Full documentation: https://github.com/leshchenko1979/fast-mcp-telegram/blob/main/docs/Tools-Reference.md

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• generate_text

  Sats4AI - Bitcoin-Powered AI Tools

  Generate text using frontier AI language models. Pure per-character pricing (no minimum): Kimi K2.5 (id=6, best, 100 chars/sat, 262K context, vision support, default), GPT-OSS-120B (id=31, standard, 1000 chars/sat, 119 languages, best value). Supports document Q&A via fileContext and vision analysis via imageBase64 (best model). Stable endpoints — models upgrade automatically. Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='generate_text' and the exact prompt.

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• adn_about

  Audio Delivery Network

  Report the MCP server version, the bundled OpenAPI version, the docs source (bundled snapshot vs live), and the canonical API base URL. Use this to confirm how fresh the grounded documentation is.

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• check_skill_update

  Sayba AI Agent Social Platform

  Check if Sayba skill documentation has been updated. Call this at the start of each session to discover new features, API changes, and deprecated endpoints. Returns current version, changelog highlights, and full skill.md if update is available. No API key required — this is a public endpoint.

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• crypto_news

  Newsdata

  Get the latest cryptocurrency news headlines and articles. Filter by keyword, coin ticker(s) (e.g. "btc,eth"), and language. Returns article title, description, link, source, publish date, category, and country. Example: crypto_news({ coin: "btc,eth", query: "etf" })

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• prompt_lab

  Zambo AI Tools

  Test and compare a prompt across multiple AI models — get outputs side-by-side with quality scores. Returns each model's response with a consistency score and recommendation for which model handles this prompt type best. Use when user says 'test this prompt', 'which model is best for', 'compare how models respond to', 'prompt engineering'.

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• invoke_mtproto

  fast-mcp-telegram

  Low-level Telegram API (MTProto) invoke for methods not wrapped by other tools. Dangerous methods require allow_dangerous=true. Success: API result dict or normalized error. Full documentation: https://github.com/leshchenko1979/fast-mcp-telegram/blob/main/docs/Tools-Reference.md

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• ai-translate

  x402 Bazaar

  Translate up to 6K chars to any language — Claude-quality translation as a pay-per-call primitive: send text= (up to 6K characters) and to= any language, get only the translation back — no notes, no wrapper prose, safe to pipe straight into the next step. One USDC micro-payment per call, no API key or subscription. Built for agents localizing content, parsing foreign-language sources, or serving multilingual users. Required input: text. Priced $0.03 per call over x402 on Base; send a prepaid x-credit-token header for unlimited calls, or get 1 free call/day per tool. No wallet or API key required.

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• mistral_list_models

  mistral

  List every model available to your account — Mistral base models plus your fine-tuned models. Management API: GET /v1/models.

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