# Root Signals Evaluators

> Use this tool when you need to evaluate response quality against various criteria or check coding policy adherence without direct API access. It provides a bridge between AI assistants and Root Signals evaluators, allowing for standard and RAG evaluations by ID or name. Ideal for AI assistants requiring indirect API access to assess response quality and coding policy compliance.

Canonical page: https://skillsregistry.net/skills/root-signals-evaluators  
JSON: https://api.skillsregistry.net/v1/skills/root-signals-evaluators

## Description

Root Signals MCP Server provides a bridge between AI assistants and Root Signals evaluators through a Python implementation. The server exposes tools for listing evaluators, running standard and RAG evaluations by ID or name, and checking coding policy adherence. Built with SSE transport for network deployment, it handles API authentication, response validation, and tool execution while supporting Docker containerization. Particularly valuable for AI assistants that need to evaluate response quality against various criteria without direct API access.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/root-signals-evaluators)
- **Repository:** <https://github.com/root-signals/scorable-mcp>

## 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": "root-signals-evaluators"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/root-signals-evaluators` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/root-signals-evaluators/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