"Checking Supabase migrations in GitHub Actions" matching MCP connectors:

TolgeeA

io.github.tolgee

Your app's translations in Tolgee: search keys, create translations, trigger machine translation

Torah lessons in six languages: grounded search, cited lessons, sources, honest ask.

Tarot card meanings for love, and answers to the most-asked love questions, in 22 languages.

Neutral, sourced, real-time comparisons on any topic, in 32 languages.

Bible by MidvashA

com.midvash

Free, no-key Bible MCP server — 86 translations in 32 languages, from any MCP client.

TamgaraB

com.tamgara

Fill in 1,000+ legal PDF templates in many languages, get a signed PDF back. Free, no API key.

Hebrew Bible (Tanakh)A

io.github.moshecohen90

Read Hebrew Bible (Tanakh) verses & chapters in 10 languages, plus guided study plans.

Grounds LLMs in real Old Norse: lemmas, mediopassive paradigms, English→Old Norse lookup.

Grounds LLMs in real Latgalian: Wiktionary lemmas, inflections, romanization.

Grounds LLMs in real Church Slavonic: Wiktionary lemmas, dual-number paradigms, transliteration.

Claude makes real phone calls for you — in many languages, with transcript and outcome back in chat.

Manage product translations from Claude and ship reviewed changes as GitHub pull requests.

MachineTranslation.com MCPOAuth via extension

com.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.

Translation QA: automated checks, AI evaluation, linguistic review, and visual in-context testing.