Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@xenia show me failures in the last 24 hours"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A local MCP and tray icon for keeping track of how well agents are acheiving their goals, and what is going wrong. Install and run on linux or mac with
./bin/xeniaNeeds Python 3.11+
xenia_report
| One row is |
| What an agent set out to do, in its own words, and whether it got there. The label comes from its plan where it kept one and the outcome is read off the calls made under it. |
| Something the user asked for, and how it turned out. |
| A kind of work that has failed more than once, worst first, grouped across sessions and repos. |
| Work a session did again soon after it had already attempted the same thing. |
| Counts, failure rates, latency and reply size, per tool, broker, channel, host, repo or signature. |
| What was written, how often each file was rewritten, and how much of that hashed to what was already there. |
xenia_callsOne row of any of the above, broken into the individual calls behind it.
xenia_traceThe actions between an action_id failure and the fix.
since (24h, 7d, or a date), repo — work outside any checkout is filed under general — and limit apply to every view. Where tool, via, channel, session and signature are accepted they match exactly or as a glob, so one via: "acme-*" covers every call through a site's brokers, and a signature from any view drills straight into the calls behind that row.
See ARCHITECTURE.md.
This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
AI agent run monitoring with incident replay and SLA receipts.
Cross-agent artifact workspace with provenance across Claude Code, Codex, Cursor, LangGraph.
Runtime permission, approval, and audit layer for AI agent tool execution.
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/iondrive-co/xenia'
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