"How to use the git clone command" matching MCP connectors:
Matching Connector Tools:
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.
LibreTranslate MCP — open-source machine translation (BYO endpoint)
jargon-translator MCP — wraps StupidAPIs (requires X-API-Key)
DWDS German Digital Dictionary (snippet/lemma/concordance/kwic)
Translate MCP — wraps LibreTranslate API (https://libretranslate.com/)
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.
DeepL translation: translate, usage, source/target languages. Free 500k chars/mo.
Wiktionary MCP — multilingual dictionary via Wikimedia REST + MediaWiki Action API
Wordnik English dictionary: definitions, examples, related words, WotD.
Tatoeba multilingual sentence corpus (~13M sentences, 400+ languages)
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.
Cross-model evidence pipeline for financial filings & contracts. x402 pay-per-call.
Jisho.org Japanese-English dictionary MCP (keyless).
Bambara AI over MCP: text-to-speech, transcription and translation (Bamanankan + more).
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
AI localization for agents: translation, TMS sync, translation memories, glossaries, post-editing.