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MCP Translation Server

@KYBvWHxW

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

KYBvWHxW

关于 MCP Translation Server

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

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

MCP Translation Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

MCP Translation Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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)

常见问题

1

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`).

2

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.

3

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.

4

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`).

5

How is performance measured?

Average translation latency is under 1 second, 95th percentile under 2 seconds, and the server handles over 100 concurrent requests per second.

评论

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