Root Signals FAQs

Question 1

How do I get started with Root Signals?

Accepted Answer

First, sign up and create an API key on the Root Signals platform. Then, run the MCP server using Docker or from your MCP host. Configure your MCP client (e.g., Cursor) to connect to the Root Signals server using the provided URL or command.

Question 2

What features does Root Signals offer?

Accepted Answer

Root Signals provides tools for listing evaluators, running standard evaluations, RAG evaluations with contexts, and coding policy adherence checks. It supports SSE for network deployment and integrates with MCP clients like Cursor.

Question 3

What is Root Signals?

Accepted Answer

Root Signals exposes powerful evaluators as tools for AI assistants and agents, enabling automated evaluation of responses against various quality criteria using the Model Context Protocol (MCP).

Question 4

How can I use Root Signals with my AI agent?

Accepted Answer

You can use Root Signals MCP server to expose evaluators as tools accessible to your AI agent. This allows your agent to automatically evaluate its responses and improve quality based on the evaluator feedback.

Question 5

What types of evaluations does Root Signals support?

Accepted Answer

Root Signals supports standard evaluations, RAG (Retrieval-Augmented Generation) evaluations with contexts, and coding policy adherence evaluations. It also facilitates the use of LLM-as-a-judge via evaluator collections called Judges.

Root Signals

Root Signals

Key Features

Use Cases

Key Features

Use Cases