Translation quality evaluation using xCOMET models. Provides quality scoring (0-1), error detection with severity levels (minor/major/critical), and optimized batch processing with 25x speedup.
Run the underlying MCP server directly — without Agent-CoreX routing.
npx -y xcomet-mcp-serverAgent-CoreX intelligently routes which tools from shuji-bonji/xcomet-mcp-server your AI agent actually needs per request — reducing token usage and cost.
agent-corex.json
{
"mcpServers": {
"xcomet-mcp-server": {
"command": "npx",
"args": [
"-y",
"xcomet-mcp-server"
]
}
}
}Connect in 2 minutes. Only pay for the tools your agent actually uses.
A collection of reference implementations for the Model Context Protocol (MCP), showcasing its features and SDK usage.
A CLI inspector for the Model Context Protocol that allows running MCP servers and interacting with various tools and resources.
A project related to the Model Context Protocol, potentially involving data processing or context management.
Recommended: intelligent tool routing, lower costs
uvx agent-corex mcp add xcomet-mcp-serverAgent-CoreX selects only the tools your agent needs, cutting token usage by up to 60%.
Use shuji-bonji/xcomet-mcp-server directly without routing
npx -y xcomet-mcp-serverNew to Agent-CoreX? View setup guide →