"Grafana MCP Analyzer Tool or Plugin" matching MCP servers:

Counts characters and words in both Japanese and English text files, with special handling for Japanese morphological analysis and proper character counting excluding spaces and line breaks.

An MCP server that enables users to add translation keys to Lokalise projects using natural language through Cursor or standalone interfaces. It allows for the specification of project names, translation keys, default values, and target platforms.

A lightweight Gradio application that analyzes text for sentiment (positive/negative) and sarcasm detection using Hugging Face Transformers, designed to run on CPU and compatible with the MCP server architecture.

Provides comprehensive text analysis capabilities including character counting, word statistics, character type analysis, and text length validation for Korean and English text. Supports AI agents in analyzing and validating text content with detailed statistics and Unicode support.

An MCP (Multi-Agent Conversation Protocol) Server that enables AI agents to interact with Google's Cloud Translation API for translating text between languages.

Lets AI agents read and write the Calibre Ebook Translator plugin's translation cache chunk by chunk, enabling direct book translation workflows without manual copy-paste.

MCP server that provides grounded Arabic dictionary lookup, enabling AI agents to search word roots, inflections, and meanings from real dictionary data.

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.

AI localization from your editor — translate an app's string files into 46 languages with placeholder-safe, reproducible output. Eleven formats (JSON, .arb, .po, .strings, Android XML and more), and every translation is read back and checked before it lands.

A local-first multilingual dictionary, thesaurus, translation, lexical-relations, semantic-neighbour, and English wordplay server for the Model Context Protocol (MCP). It operates fully offline with read-only query access and no data mutation while running.

MCP server for translating PDFs using pdf2zh-next, preserving document context by extracting all text segments for LLM translation at once.

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.

English-first Korean equity intelligence MCP — translates Korean DART filings, foreign-holder 5%-rule flows (BlackRock / Vanguard / Norges / GIC plus 16 more), activist filings (KCGI / Align / ValueAct / Elliott), and KRX industry news to English on demand. 7 MCP tools, OSS self-host under AGPL-3.0.

Integrates the levelang.app translation API with AI assistants to provide translations constrained to specific learner proficiency levels. It supports multiple languages and allows users to control translation styles and moods while dynamically discovering available language configurations.

Enables AI agents to transliterate between Latin-script Javanese and Aksara Jawa (Hanacaraka) bidirectionally.

Provides access to the Database of Icelandic Morphology (BÍN) to look up word inflections, variants, and lemmas. It enables LLMs to answer grammatical questions and retrieve specific Icelandic word forms using standard grammatical tags.

Finds new UI translation keys in your codebase, dedup-checks them against a Blocks/UILM tenant, and generates the JSON the Blocks portal expects for import.

Enables AI agents to conjugate verbs in 14 European languages via a hosted Rust API, requiring only a free API key.

Enables agents to speak Thai and English audio through local speakers, manage a playback queue, save speech to files, translate text into Thai, and OCR PDFs and images.