# io.github.MukundaKatta/ragdrift-mcp

> Use this tool when you need to diagnose and interpret RAG (Red, Amber, Green) drift scores, and require recommendations for optimal thresholds and dimensional explanations to inform decision-making. It takes in RAG drift scores as input and outputs interpreted results, recommended thresholds, and dimensional explanations. Ideal for use cases where understanding and addressing RAG drift is crucial, such as in monitoring and evaluation contexts.

Canonical page: https://skillsregistry.net/skills/io-github-mukundakatta-ragdrift-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-mukundakatta-ragdrift-mcp

## Description

Diagnose RAG drift: interpret scores, recommend thresholds, explain dimensions.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.MukundaKatta%2Fragdrift-mcp)
- **Repository:** <https://github.com/MukundaKatta/mcp-stack>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-mukundakatta-ragdrift-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-mukundakatta-ragdrift-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-mukundakatta-ragdrift-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt