LLM Orchestration Agent Openai MCP Server

by getvda Your server? Claim it

answering

LLM Orchestration Agent Openai is answering right now. Last checked 12 min ago. It exposes 2 tools.

LLM Orchestration Agent (Openai)

Uptime history 7 days of history

7 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

195 ms

Response time

average over 24h

open, no key

Access

streamable-http

Nothing serious here today

Today is the operative word: we check LLM Orchestration Agent Openai every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 12 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

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

~/Library/Application Support/Claude/claude_desktop_config.json

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

~/.codex/config.toml

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

.cursor/mcp.json

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

.vscode/mcp.json

{
  "mcpServers": {
    "llm-orchestration-agent-openai": {
      "url": "https://llm-orchestration-agent-openai.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-agent-openai.getvda.ai/mcp	streamable-http	answering	200 ms	12 min ago

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LLM Orchestration Agent Openai — questions

Answers built from our own checks of this server.

What can LLM Orchestration Agent Openai 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 Agent Openai working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 195 ms. The bar chart above shows every period we have measured.

How do I connect LLM Orchestration Agent Openai?

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

Does LLM Orchestration Agent Openai need an API key?

No. LLM Orchestration Agent Openai 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 Agent Openai?

It answers our handshake in 195 ms on average, which is faster than 68% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.