Root Signals Evaluators
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/root-signals/scorable-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Root Signals Evaluators from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.