Ragdrift Mcp

@mukundakatta/ragdrift-mcp

MCP server for diagnosing RAG drift. Lets an LLM reason about drift scores without needing to install Rust or PyO3.

Sibling to the ragdrift crate + ragdrift-py PyPI wheel — this MCP server is the interpretation layer; the actual drift detection happens in those libraries (or your existing telemetry).

Tools

• interpret_drift_score(score, dimension, threshold?) — plain-English interpretation, severity classification, suggested next steps.
• recommend_thresholds(dimension, sample_size, false_positive_budget) — threshold values tuned to your sample size and FP budget.
• explain_drift_dimensions() — structured reference for all 5 dimensions (data, embedding, response, confidence, query).

When to install

Install when you want Claude Desktop / Cursor / Cline / Windsurf / Zed to help diagnose RAG drift alerts. Example session:

User: "Got an embedding-drift alert with score 0.27 on a sample of 500. Should I be worried?"

LLM (calling interpret_drift_score): "Score 0.27 on the embedding dimension lands in the 'significant shift, investigate' band. The underlying methods are MMD² (RBF kernel) and sliced Wasserstein-1. Likely next steps: did the embedding model change? Was the corpus re-indexed? Compare baseline and current document samples."

Install — Claude Desktop

{  "mcpServers": {    "ragdrift": {      "command": "npx",      "args": ["-y", "@mukundakatta/ragdrift-mcp"]    }  }}

Install — Cursor / Cline / Windsurf / Zed

Same shape per tool. npx -y @mukundakatta/ragdrift-mcp over stdio.

License

MIT OR Apache-2.0.