MCP Translation Server

Name: MCP Translation Server
Author: KYBvWHxW

@KYBvWHxW

Repository

About MCP Translation Server

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

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

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

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Overview

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).

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.

Comments

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