DevOps
fractera.ai
Manages Fractera user registration, server deployment, status checks, and VPS recommendations.
ENDPOINT 1
https://www.fractera.ai/api/mcp
Known tools 8
register_and_deployRegister a new Fractera user and start the deployment of their server in one atomic call.
check_statusRead the current installation progress ONCE, on demand.
get_subdomainReturn the final entry address of the server once installation is complete.
retry_deployRetry a failed deployment using a server_token (from the failure email, the deploy-progress UI, or the dashboard).
get_vps_recommendationReturn a single recommended VPS provider for users who do not yet have a server.
get_project_infoProject reference / help desk about Fractera.
get_ai_workspace_architect_infoArchitecture reference for Fractera AI Workspace: what it is made of and how it works (the admin drives it through Hermes — chat Web UI or Telegram — or directly through the five coding agents; a modal subscription sign-in layer + MCP keep work resilient when a subscription is limited; LightRAG is the central memory that slashes token use; Hermes is a light orchestrator while the coding agents do the heavy lifting; the result ships over HTTPS on a custom domain or plain HTTP on an IP).
get_ai_development_loop_infoExplains the Fractera development loop: how one admin request becomes tested, deployed, recorded code with no human writing it — Hermes orchestrates and loads its identity + project context, picks a ready coding agent (Claude Code, Codex, Gemini, Qwen, Kimi), the agent is enriched (SOUL.md / AGENTS.md / GLOSSARY.md / completed steps), generates a task then code, it is built and deployed, and the result branches (error feeds back; success updates the completed steps and the deployments tab) — all grounded by LightRAG memory at every step.