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Ragdrift Mcp

mukundakatta/mcp-stack

Exposes three tools that help LLMs interpret alerts from a RAG drift monitoring system. When your retrieval pipeline drifts across dimensions like coverage, rank correlation, or embedding shift, interpret_drift_score translates raw metrics into plain English explanations. recommend_thresholds suggests sensible alerting boundaries based on your pipeline's characteristics, and explain_drift_dimensions breaks down what each of the five drift axes actually measures. Part of a fourteen server collection from the mcp-stack monorepo, this one wraps logic from the ragdrift Rust crate. Install it if you're building agents that triage production RAG quality issues or need to turn numerical drift scores into actionable diagnosis without hallucinating what the metrics mean.

tools
3
transport
STDIO
last updated
May 10, 2026

Tools

3 tools

Public tool metadata for what this MCP can expose to an agent.

interpret_drift_scoreLLM diagnoses RAG drift alerts

LLM diagnoses RAG drift alerts

No parameter schema in public metadata yet.

recommend_thresholds

No parameter schema in public metadata yet.

explain_drift_dimensions

No parameter schema in public metadata yet.

Sponsors

Readme

mcp-stack

Fourteen small MCP servers for everyday LLM / RAG / agent work. Each ships independently on npm, listed in the official MCP Registry, and is callable from Claude Desktop, Cursor, Cline, Windsurf, Zed, and any other MCP-compatible client.

RAG / agent helpers

PackageToolsWhen to install
@mukundakatta/promptbudget-mcptruncate_to_token_budgetLLM needs to fit text into a context window mid-task
@mukundakatta/citecite-mcpinject_citations, parse_citations, strip_citationsRound-trip [1] [2] markers in RAG outputs
@mukundakatta/ragmetric-mcprecall_at_k, hit_at_k, mrr, ndcg_at_k, evaluate_batchLLM helps score retrieval quality
@mukundakatta/ragdrift-mcpinterpret_drift_score, recommend_thresholds, explain_drift_dimensionsLLM diagnoses RAG drift alerts

Reliable transforms LLMs reach for tools instead of imagining


View the full README on GitHub

Details

Repository
github.com/mukundakatta/mcp-stack
Category
AI & LLM Tools
Package
@mukundakatta/ragdrift-mcp
Transport
STDIO
Registry
MCP registry, active

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