Ragscore MCP Server
Generate QA datasets & evaluate RAG systems in 2 commands 🔒 Privacy-First • ⚡ Lightning Fast • 🤖 Any LLM • 🏠 Local or Cloud • 🌍 Multilingual
People connecting AI & ML tools to Claude, Cursor, VS Code, or another MCP client. The project is written in Python.
VERIFIED ACTIVE
LAST COMMIT 2026-05-29 · ★ 15 · #50 OF 95 MAINTAINED AI & ML · VERIFIED 2026-08-25
Apache-2.0 · Python servers · how we verify → /methodology
01 · Install Ragscore
before you install - you'll need
Set OPENAI_API_KEY, RAGSCORE_CHUNK_SIZE, RAGSCORE_QUESTIONS_PER_CHUNK, RAGSCORE_WORK_DIR, RAGSCORE_NO_TELEMETRY before connecting.
Claude Code
claude mcp add hzyai-ragscore -- uvx ragscore Claude Desktop / Cursor / VS Code - add to config
{
"mcpServers": {
"hzyai-ragscore": {
"command": "uvx",
"args": [
"ragscore"
]
}
}
} Same JSON for Cursor. For VS Code, rename the top-level key from `mcpServers` to `servers`.
Using another client? Same JSON, different key
Claude Desktop · mcpServers
Cursor · mcpServers
VS Code · servers
Windsurf · mcpServers
Zed · context_servers
Cline · mcpServers
Roo Code · mcpServers
Continue · mcpServers
LibreChat · mcpServers
Gemini CLI · mcpServers
Codex CLI · mcp_servers
Full setup guides: every client.
02 · Evidence
Security posture
What to check before giving this server access to your agent - from the registry, GitHub, and our own probes. We don't score safety; we show what's verifiable.
runs as local process (stdio) - runs on your machine with your user's permissions
license Apache-2.0 - declared in the repository
pypi package ragscore - check the name against the project README before installing (PyPI has no namespace ownership)
registry namespace io.github.HZYAI is GitHub-verified and matches the repo owner
03 · What Ragscore can do
Prose above is summarized from the project's README and registry record - no invented capabilities.
Latest releases
v0.7.0 · 2026-02-15
What's New · Detailed Multi-Metric Evaluation · Add detailed=True to get 5 diagnostic dimensions per answer - same single LLM call: · Correctness - semantic match to golden answer · Completeness - covers all key points…
04 · Who maintains Ragscore
RAGScore is maintained by hzyai. It's the only MCP server we track from this author; the repo dates to Dec 2025.
05 · Facts
- repository
- github.com/hzyai/ragscore
- category
- AI & ML - ranked #50 of 95 actively-maintained AI & ML servers as of 2026-08-25.
- registry
- io.github.HZYAI/ragscore (active, first published 2026-02-11 · 3 versions)
- packages
- pypi:ragscore
06 · Ragscore FAQ
What is Ragscore?
Generate QA datasets & evaluate RAG systems in 2 commands 🔒 Privacy-First • ⚡ Lightning Fast • 🤖 Any LLM • 🏠 Local or Cloud • 🌍 Multilingual
Is Ragscore still maintained?
Yes - as of 2026-08-25, its last commit was 2026-05-29. We re-verify nightly.
How do I install Ragscore?
Run `uvx ragscore`. The README documents 5 environment variables (OPENAI_API_KEY, RAGSCORE_CHUNK_SIZE, RAGSCORE_QUESTIONS_PER_CHUNK…) to set first. Set OPENAI_API_KEY, RAGSCORE_CHUNK_SIZE, RAGSCORE_QUESTIONS_PER_CHUNK, RAGSCORE_WORK_DIR, RAGSCORE_NO_TELEMETRY before connecting. You can also paste the ready-made client config above.
Does Ragscore run locally?
Yes - it's a stdio server: it runs on your machine (via uvx) with your user's permissions. Your data stays local unless the server itself calls external APIs.
07 · Alternatives to Ragscore
Alternatives to Ragscore
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