LightShip is listed as active in the registry but did not answer our last check. Last commit 22 Oct 2026.
Governed access to production AI-agent traces in an existing ClickHouse store.
We read the source, 7 d ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
finalDir := filepath.Join(s.exportDir, id)
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 11 min ago.
claude mcp add lightship --transport http https://lightship-production.up.railway.app/mcp
https://lightship-production.up.railway.app/mcp
[mcp_servers.lightship]
url = "https://lightship-production.up.railway.app/mcp"
{
"mcpServers": {
"lightship": {
"url": "https://lightship-production.up.railway.app/mcp"
}
}
}
{
"servers": {
"lightship": {
"type": "http",
"url": "https://lightship-production.up.railway.app/mcp"
}
}
}
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://lightship-production.up.railway.app/mcp | streamable-http | answering | 247 ms | 11 min ago |
Governed AI-agent memory, Evidence Ledger traces, evals, and portable context tools.
Production errors and incidents for your agent: stack traces, breadcrumbs, likely causes, triage.
AI agent observability for production traces, natural-language insights, and improvement loops.
Structured execution trace and span logging for AI agents
Production errors your coding agent can read: search, stack traces, context, trends, resolve.
Read-only access to Auralogs production logs: search logs, inspect errors, review AI analyses.
Every number in an AI answer traces back to the rows that produced it.
Production-ready RAG + MCP demo: eval-in-CI merge gate, Langfuse traces, structure-aware chunking.
Answers built from our own checks of this server.