MCP Translation Server

Name: MCP Translation Server
Author: KYBvWHxW

@KYBvWHxW

リポジトリ

MCP Translation Server について

High-performance Manchu-Chinese translation server implementing the Model Context Protocol (MCP)

#mcp-translation #translation-server #manchu-chinese

基本情報

カテゴリ

その他

トランスポート

stdio

公開者

KYBvWHxW

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-translation-server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Translation Server?

MCP Translation Server is a high-performance machine translation system specialized for Manchu-Chinese bidirectional translation, combining advanced linguistic processing and deep learning for low-resource language translation.

How to use MCP Translation Server?

Clone the repository, set up a Python virtual environment (Python 3.12+), install dependencies, copy and edit config.example.py to config.py, and set required environment variables (MCP_SECRET_KEY, MCP_API_TOKEN). Run python server.py to start the server, or run python demo/comprehensive_demo.py for a demo.

Key features of MCP Translation Server

Enhanced morphological analysis with vowel harmony and error detection
Multi-level translation engine with intelligent corpus matching
Rich language resources (rules, parallel corpus, dictionary)
REST API endpoints for translation and morphological analysis
Performance: average latency <1s, cache hit rate >80%
Monitoring via Prometheus and Grafana

Use cases of MCP Translation Server

Bidirectional translation between Manchu and Chinese
Morphological analysis of Manchu text (word form, vowel harmony)
Batch processing of parallel corpus data
Real-time translation with high concurrency (100+ req/s)

FAQ from MCP Translation Server

What runtime dependencies does MCP Translation Server require?

Python 3.12+ is required. Docker is supported. The server also needs a config.py file and the environment variables MCP_SECRET_KEY and MCP_API_TOKEN (optional: MCP_REDIS_PASSWORD, MCP_SMTP_PASSWORD).

How do I configure the server?

Copy config.example.py to config.py and edit the settings (API host/port, rate limiting, caching, model paths, etc.). Never commit config.py to version control.

What API endpoints are available?

POST /api/v1/translate for translation (with text, source_lang, target_lang) and POST /api/v1/analyze for morphological analysis.

What data does MCP Translation Server use?

It uses bundled language resources: Manchu grammar rules (manchu_rules.json), a parallel corpus (parallel_corpus.json), and a dictionary (dictionary.json).