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RAGScore

io.github.HZYAI/ragscore·v0.6.10·AI & LLMs
Quality Score
81
/100

Generate QA datasets & evaluate RAG systems. Privacy-first, any LLM, local or cloud.

§01  Install
Claude Desktop (uvx)
{
  "mcpServers": {
    "ragscore": {
      "command": "uvx",
      "args": [
        "ragscore"
      ],
      "env": {
        "OPENAI_API_KEY": "<your-openai_api_key>",
        "ANTHROPIC_API_KEY": "<your-anthropic_api_key>"
      }
    }
  }
}
§02  Environment variables
OPENAI_API_KEY
secret

OpenAI API key (if using OpenAI provider)

ANTHROPIC_API_KEY
secret

Anthropic API key (if using Anthropic provider)

§03  MCP Quality Score  ·  methodology
freshness
21
completeness
15
installability
25
documentation
15
stability
5
§04  Alternatives in AI & LLMs