Agentic Engineering Periodic System is answering right now. Last checked 14 min ago. It exposes 4 tools.
Practices for building software with coding agents, each with a test you check on your repo.
Over the last week it answered 17.7% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 14 min ago.
claude mcp add periodic-system --transport http https://ase.academy/mcp
https://ase.academy/mcp
[mcp_servers.periodic-system]
url = "https://ase.academy/mcp"
{
"mcpServers": {
"periodic-system": {
"url": "https://ase.academy/mcp"
}
}
}
{
"servers": {
"periodic-system": {
"type": "http",
"url": "https://ase.academy/mcp"
}
}
}
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
get_element
find_elements
overview
repository_checklist
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://ase.academy/mcp | streamable-http | answering | 310 ms | 14 min ago |
Your repository's engineering standards for coding agents: rules per file, CI check, rule proposals.
Always-on AI agents: a software factory for Claude Code, or an AI SRE that watches your systems.
Local-first engineering cognition for AI coding agents — persistent memory over your codebase.
Tested, version-pinned code recipes for AI coding agents, each with its last-passed receipt.
Writes adversarial test suites for AI-built code. Your agent's test engineer.
Engineering spend: GitHub seats, Copilot, Actions and coding agents, priced, with fixes
WingFoil — the repo-native intent layer for AI-native software engineering
Always-on performance engineering for your own code: proven pull requests, the merge stays yours.
Answers built from our own checks of this server.