LLM Orchestration Observability Agent MCP Server

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answering

LLM Orchestration Observability Agent is answering right now. Last checked 7 min ago. It exposes 2 tools.

LLM Orchestration Observability Agent

Uptime history 53 days of history · worst day 93%

53 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

236 ms

Response time

average over 24h

open, no key

Access

streamable-http

LLM Orchestration Observability Agent missed one check this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add llm-orchestration-observability-agent --transport http https://llm-orchestration-observability-agent.getvda.ai/mcp

Settings → Connectors → Add custom connector, then paste this address

https://llm-orchestration-observability-agent.getvda.ai/mcp

~/.codex/config.toml

[mcp_servers.llm-orchestration-observability-agent]
url = "https://llm-orchestration-observability-agent.getvda.ai/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "llm-orchestration-observability-agent": {
      "url": "https://llm-orchestration-observability-agent.getvda.ai/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "llm-orchestration-observability-agent": {
      "type": "http",
      "url": "https://llm-orchestration-observability-agent.getvda.ai/mcp"
    }
  }
}

Available tools 2

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

invoke

invoke

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith tracing.

selftest

selftest

FREE, no payment required. Runs this agent's real capability on a fixed canned input and returns the genuine result, an honest assertion grade, and the full trust manifest (signed Agent Card, JWKS, governance/licence chain, safety posture) with a proof link for every claim. Intended for registries, graders and auditors: this is behavioural evidence, not a self-description.

Endpoints

URL	Transport	State	Latency	Checked
https://llm-orchestration-observability-agent.getvda.ai/mcp	streamable-http	answering	242 ms	7 min ago

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LLM Orchestration Observability Agent — questions

Answers built from our own checks of this server.

What can LLM Orchestration Observability Agent do?

It exposes 2 tools, read directly from the server on our last check. Among them: invoke, selftest. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is LLM Orchestration Observability Agent working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 236 ms. The bar chart above shows every period we have measured.

How do I connect LLM Orchestration Observability Agent?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does LLM Orchestration Observability Agent need an API key?

No. LLM Orchestration Observability Agent completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 2 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is LLM Orchestration Observability Agent?

It answers our handshake in 236 ms on average, which is faster than 70% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.