Overview
What is Root Signals MCP?
Root Signals MCP is a Measurement & Control Platform designed for evaluating AI responses using various quality criteria through the Model Context Protocol (MCP).
How to use Root Signals MCP?
To use Root Signals MCP, sign up to create an API key, run the MCP server using Docker, and connect it to your AI applications to evaluate responses.
Key features of Root Signals MCP?
- Exposes evaluators as MCP tools for AI assistants.
- Supports standard and RAG evaluations with contexts.
- Implements Server-Sent Events (SSE) for real-time updates.
- Compatible with various MCP clients like Cursor.
Use cases of Root Signals MCP?
- Evaluating AI-generated explanations for clarity and relevance.
- Improving AI responses based on evaluator feedback.
- Measuring prompt templates in AI applications for effectiveness.
FAQ from Root Signals MCP?
- Can I use Root Signals MCP with any AI model?
Yes! It is designed to work with various AI models that support the Model Context Protocol.
- Is there a cost associated with using Root Signals MCP?
The platform offers a free tier for users to get started.
- How do I contribute to the project?
Contributions are welcome; follow the guidelines in the repository for submitting code and tests.