claude mcp add ragscore -- uvx ragscore
{
"mcpServers": {
"ragscore": {
"command": "uvx",
"args": ["ragscore"]
}
}
}
{
"mcpServers": {
"ragscore": {
"command": "uvx",
"args": ["ragscore"]
}
}
}
{
"mcpServers": {
"ragscore": {
"command": "uvx",
"args": ["ragscore"]
}
}
}
About This MCP Server
The io.github.HZYAI/ragscore server is a cloud-based tool that generates QA datasets and evaluates RAG systems, prioritizing privacy and supporting any large language model, whether used locally or in the cloud. It connects to standard input/output streams and is available on the Python Package Index, facilitating integration with various development environments. Developers would use this server when they need to create and assess question-answering datasets and RAG systems in a privacy-focused manner.
Generate QA datasets & evaluate RAG systems. Privacy-first, any LLM, local or cloud.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with cloud & infrastructure capabilities via the stdio transport.
Package
ragscore on pypi
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on pypi.
What tools does it provide?
The RAGScore server extends your AI assistant with cloud & infrastructure capabilities. Once installed, your AI can use its tools automatically.
