"Information on agent swarm architecture" matching MCP servers:

AI-powered translation management built for AI agents. Automate localization with regional sensitivity and zero TMS overhead. Works with Claude Code, Cursor, VS Code via MCP protocol. Supports JSON, YAML, Markdown, PO and more.

prevents llm from overload, freeze and oscillation

MCP server for the Humanread novel publishing platform, enabling AI agents to upload, format, preview, review, translate, and publish novels in Markdown or safe HTML.

Enables AI agents to search for sworn and qualified interpreters and manage on-site, phone, and video assignments on behalf of a customer account. Supports creating booking requests, selecting available interpreters, reading booking and payment status, requesting changes, and cancelling bookings.

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.

An MCP server providing tools for speech-to-text, translation, language detection, question answering, and text-to-speech using Sarvam AI models, enabling multilingual voice agents.

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.

MCP server for managing i18n translation files — gives your AI agent full control over your app's translations without dumping entire locale files into context.

Translation QA for i18n locale files. Deterministic validators — missing keys, placeholder drift, collapsed plurals, glossary breaches — that need no API key, plus a review tool that hands translation pairs and judging criteria back to the calling agent, so meaning-level review runs on the model your client already has. Translation with your own LLM key is optional. JSON, Flutter .arb, Apple .

Enables an AI agent to inspect, repair, retime, convert, merge/split, and search SRT, WebVTT, and ASS subtitle files entirely offline, with exact-fraction resync, dry-run fixes, and honest encoding detection. Translation is handled by the agent itself through a chunk/apply contract that preserves timing and flags lost tags.

Delegates replaceable grunt work (boilerplate, formatting, translation, long-document summarizing) from a premium agent to cheap models behind a local LiteLLM proxy, auto-routing each task by type. Delegated calls run in a separate process, so the subscription session and the API credentials never share an environment.

Provides AI agents with local Dutch spelling and word validation using OpenTaal/hunspell, plus detailed word information from woordenlijst.org. It enables checking full texts or individual words and retrieving linguistic details for Dutch writing tasks.

Enables comparing local JSON/YAML locale files to find missing or extra keys against a base locale, detect empty, null, or whitespace translations, and list flattened dot-path keys for a single file. Works entirely on local files with no network calls or translation APIs.

Enables AI agents to access paid tools like crypto prices, weather, translation, and web intelligence via per-request USDC payments on Base, with no API keys or subscriptions.

Enables Codex to delegate bounded, low-risk text work such as extraction, summarization, translation, and code drafts to a local WorkBuddy installation, returning small inspectable drafts for the main agent to verify.

Inspects Apple TV.app playback and lets you load, translate, style, and sync subtitle overlays on macOS, with optional LLM translation via Anthropic, Claude Code, or Codex.

Enables agents to keep per-language JSON locale files synchronized with an English source by translating changed keys via MyMemory, validating placeholder tokens, pruning deleted keys, and flagging failures for manual agent translation.

Enables users to access a free catalog and samples plus 17 pay-per-call tools, settled in USDC on Base via x402, for web reading, source-bounded summarization, Rioplatense Spanish translation, market and Argentine data, developer utilities, text comparison, and x402-related queries.

Enables AI video dubbing from any MCP-capable agent: upload a video or provide a URL, submit a dubbing job, poll progress, and download the finished MP4.

Enables on-device text translation via a local TranslateGemma LLM API, supporting multiple language pairs with automatic retries and rate limiting for privacy and low latency.

Unified MCP server for media acquisition, subtitle automation, and agent-run media workflows, enabling downloads via Prowlarr/qBittorrent and subtitle translation/sidecar creation.

Enables learners to quiz themselves on French word meanings from textbook units and daily review sets, with interactive card flips, self-scoring, and per-user cloud progress storage.

Exposes Sarvam AI's speech, translation, chat, and document APIs as typed MCP tools for any MCP-capable agent.

MCP server for Sonenta translation management, enabling key/translation management, agent observability sessions, and prompt library access via natural language.

Checks AI-written Japanese business text for double honorifics (二重敬語) and the honorific chains the 「敬語の指針」 guideline deems inappropriate, returning each offending span with its reason and suggested fix, and can rewrite the text with those fixes applied. Runs offline and read-only, so agents get the same deterministic answer on every pass.

Enables MCP clients to run text tasks such as asking, rewriting, summarizing, translating, and classifying through free web chat providers on stdio, without needing an API key. It sits on the same provider drivers as the HTTP surface, so a provider added once works across both.

A simple MCP server that generates multi-language greetings and provides server information using the FastMCP framework.

Lets a coding agent find, translate, validate and review an app's existing localization files (Android strings.xml, Apple String Catalogs, gettext) directly in the repo, supplying code usage, comments, glossary and voice notes as context. Placeholders, plural forms, escaping and markup are checked in code before any translation is written, and results land as reviewable drafts that never overwrite hand edits or approved work.

Serves small Hugging Face models, starting with a 53-language translator, as MCP tools running on AWS Lambda behind Amazon Bedrock AgentCore Gateway so frontier agents can delegate bulk tasks like text and whole-document translation. The client adds file-based tools that upload documents, run parallel async jobs, and return only the result path.

An AI-driven text translation service supporting 20+ languages, based on the Model Context Protocol (MCP) for integration with Claude Desktop and other MCP-compatible applications.