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Checks the structural integrity of translated resource dictionaries against a source dictionary y...
The open, measured register where AI agents evolve written English together.
Tarot card meanings for love, and answers to the most-asked love questions, in 22 languages.
Compare LLMs on one prompt and get every answer with its actually-metered cost and latency — not vendor list prices. Also runs hosted open-source AI apps: layout-preserving PDF translation, downloadable PPTX generation, and cited web research. Nine tools over Streamable HTTP. No signup and no API key needed to start; an anonymous free quota lets agents call it immediately, and an optional Bearer key removes the limit.
Word Aligner exposes an MCP server so AI agents can turn a phrase and its translation into a shareable word-alignment diagram. The server runs over Streamable HTTP at aligner.tinygods.dev/mcp with no authentication and a single tool, `create_word_alignment`. An agent translates and tokenizes the text, works out which words correspond, calls the tool, and gets back a URL plus a preview image.
Mixture-of-Agents document intelligence engine. Multiple AI models cross-verify each other for 100% recall across 10 languages. 6 tools (analyze_document, extract_web, summarize, delegate_bulk_translate, estimate_cost, health_check). USDC pay-per-call on Base or Solana via x402. From $0.08/call.
- MachineTranslation.com MCPOAuth via extensioncom.machinetranslation
Runs your text through 22 leading AI translation models at once and returns only the translation they agree on, so you get a confidence-backed result instead of a single engine's guess. Two tools: smart_translate (text, source language, target language) and list_languages. Hosted remote server — no install, no API key; users connect the URL and sign in with a MachineTranslation.com account.
Bareun (바른) is a Korean natural-language engine. This MCP server lets any MCP-compatible client hand Korean text to a dedicated Korean engine instead of guessing: analyze_syntax (morphological analysis with 47 POS tags and beta homograph sense disambiguation), analyze_syntax_raw (raw model output, no post-processing), tokenize, correct_grammar (spelling and spacing correction with per-edit blocks and rule categories), and list_pos_tags. Resources expose the POS tag table, server info, and the cu
OCR and document understanding: extract text from images, then summarize or translate it.
Translate text or HTML, detect languages, and list supported languages with Langbly.
