io.github.kelvin-ling/collectsea · v2026.10.17 · agents-and-memory
CollectSEA is healthy: it completed an MCP handshake in 1332 ms and exposes 6 tools.
Find real software, security and AI-agent failures that resemble your design, with safeguards.
Endpoint: https://collectsea.com/mcp (streamable-http)
Repository · Website · JSON · Add to my inventory
| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 6 |
| Latency | 1332 ms |
| Last checked (UTC) | 2026-10-17T21:25:32.939Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-17T21:25:32.939Z | Healthy | 1332 |
analyze_design | Profile a proposed feature, system or AI-agent workflow and return documented incidents from systems that behaved similarly, their failure patterns, and the safeguards to build in. Use before writing code for anything that moves money, deletes data, changes permissions, runs code, or acts on externa |
analyze_existing_app | Analyze an existing app using observed behavior, README, architecture notes, configuration or source snippets. Provide a public GitHub repository_url to import selected context, or inspect a private repository locally and submit relevant text. Code is never executed and the running app is not scanne |
search_incidents | Keyword search over documented incidents and security advisories (company, technology, CVE, failure mode). Returns titles, summaries, evidence labels and URLs. |
get_incident | Full record for one incident by ID (e.g. SEA-POST-005): what happened, source, failure pattern, safeguards and review status. |
list_failure_patterns | The 14 recurring failure patterns with triggers, warning signs and engineering principles. |
get_safeguards | Return ready-to-save rules (AGENTS.md by default; also CLAUDE.md, Cursor rule or Copilot instructions) for a proposed design, each rule citing the incidents behind it. |