Root Signals
Exposes Root Signals evaluators as tools for AI assistants and agents, allowing for automated response evaluation against quality criteria.
About
Root Signals acts as a bridge between the Root Signals API and Model Context Protocol (MCP) client applications, empowering AI assistants and agents to evaluate their responses against various quality criteria. By exposing Root Signals evaluators as MCP tools, this server facilitates seamless integration with MCP clients, enabling advanced evaluation workflows for both standard and RAG (Retrieval-Augmented Generation) scenarios.
Key Features
- Implements SSE for network deployment.
- Compatible with various MCP clients such as Cursor.
- 5 GitHub stars
- Exposes Root Signals evaluators as MCP tools.
- Supports standard evaluation and RAG evaluation with contexts.
- Includes tools for listing evaluators and running different types of evaluations (standard, RAG, coding policy adherence).
Use Cases
- Evaluate and improve Cursor Agent explanations by automatically discovering and executing relevant evaluators.
- Use the MCP reference client directly from code to run evaluations and RAG evaluations programmatically.
- Measure prompt templates in Cursor by evaluating them in terms of clarity and precision.
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