"Open-Source MCP Server in Python with PostgreSQL and OAuth 2.0" matching MCP servers:

Integrates local language models (like Qwen3-8B) with MCP clients, providing tools for chat, code analysis, text generation, translation, and content summarization using your own hardware.

Provides translation capabilities using the DeepL API, supporting text translation between numerous languages, rephrasing, batch translation, document translation, and language detection with formality control.

Provides time-aware greetings in multiple languages and timezones, with personalization support.

Enables AI assistants to run guarded local Word translation workflows via MCP tools, with bounded batches, preservation of protected content, and safe new-file output.

Enables bidirectional lookup of Mi'kmaq and English words with definitions and examples, and provides tools for learning and dictionary statistics, integrating seamlessly with AI-powered IDEs.

Search Japanese onomatopoeia by scene, not by spelling. 161 entries with nuance explained in Japanese and English. Fully offline MCP server, no API key required.

Translation quality evaluation MCP Server powered by xCOMET. Provides quality scoring (0-1), error detection with severity levels, and optimized batch processing for AI-assisted translation workflows.

Official AllVoiceLab Model Context Protocol (MCP) server, supporting interaction with powerful text-to-speech and video translation APIs.

Enables MCP clients to replace hardcoded text in source files with i18n resource keys, with support for previewing changes, profiles, resource sets, and machine translation.

MCP server for AI-powered translation management in i18n projects, enabling automated locale detection, translation status checks, and sync via LangAPI.

Enables document and video translation, plus subtitle rewriting, through the Belindoc translation API with both stdio and remote HTTP access.

A Model Context Protocol server that enables users to manage translations for their applications through SimpleLocalize's localization platform via natural language prompts in Cursor.

L1-aware grammar, style, translation & tone tools with 70 local rules. Zero API keys needed.

An MCP server that automatically translates Android app string resources to multiple languages by detecting changes in default strings.xml files using Git diff. It supports batch translation, preserves formatting placeholders, and works with multiple Android modules.

A Model Context Protocol server that enables AI assistants to translate and rephrase text between numerous languages using the DeepL API.

An MCP server for Djelia that brings Bambara transcription, translation, and text-to-speech to any LLM.

AI-powered speech tools by Brainiall: pronunciation assessment with phoneme-level feedback, speech-to-text with language detection, and text-to-speech with multiple voices.

Enables integration of DeepSeek's language models with MCP-compatible applications, offering features like chat completion, custom model selection, and parameter control for enhancing language-based interactions.

Provides access to Whissle AI services for speech-to-text, speaker diarization, translation, and text summarization. It enables users to process various audio formats and manage text content through natural language tools.

Enables interaction with the SimpleLocalize API to manage translation keys, languages, and tags. It allows users to streamline their localization workflow by creating, updating, and retrieving translation data directly through MCP-compatible AI assistants.