Root Signals is a AI & ML MCP server that lets Claude Code, Cursor, Windsurf and any MCP-compatible AI agent equip AI agents with evaluation and self-improvement capabilities. Install in 1 minute with mcpizy install root-signals.
AI & ML
Equip AI agents with evaluation and self-improvement capabilities.
mcpizy install root-signalsnpx -y @rootsignals/mcpAI-powered codebase context. Understand any GitHub repo instantly with semantic code search.
Open-source LLM observability. Collaborative prompt editing, tracing, and evaluation.
Predict anything with AI forecasting. Time series predictions, anomaly detection, and trend analysis.
Models, datasets, and spaces on HF
If Root Signals doesn't fit your stack, these AI & ML MCP servers solve similar problems.
The Root Signals MCP server is an AI & ML Model Context Protocol server that lets Claude Code, Cursor, Windsurf, VS Code with Copilot, and other MCP-compatible AI agents equip AI agents with evaluation and self-improvement capabilities. It exposes Root Signals's capabilities as tools the AI can call directly from your editor or CLI.
The fastest way is the MCPizy CLI: run `mcpizy install root-signals` and MCPizy will add the server to your `.claude.json` automatically. You can also install it manually by adding an entry under `mcpServers` in `.claude.json` with the command `npx -y @rootsignals/mcp` and restarting Claude Code.
Yes. The Root Signals MCP server is free and open source (see the GitHub repository linked on this page). You may still need a Root Signals account or API key to connect the server to the underlying service, but the MCP layer itself has no MCPizy subscription cost.
Yes. Any MCP-compatible client works — including Claude Code, Claude Desktop, Cursor (via `.cursor/mcp.json`), Windsurf, VS Code with Copilot Chat, and custom agents built on the MCP SDK. The same install command targets all of them; only the config file path differs.
Once installed, your AI agent can equip AI agents with evaluation and self-improvement capabilities directly inside your conversation. Typical use cases include asking Claude Code or Cursor to run Root Signals operations, inspect results, chain Root Signals with other MCP servers (see our Workflow Recipes), and automate repetitive ai & ml tasks without leaving your editor.