mcpbeat

LLM Orchestration Agent MCP Server

io.github.mikerawsonnz/llm-orchestration-agent
answering

LLM Orchestration Agent is answering right now. Last checked 7 min ago. It exposes 1 tools. Last commit 4 Aug 2026.

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

Uptime history 39 hours of history
39 hours agonow
100.0%
Uptime 24h
91 of 91 checks
1
Tools
read from the server
195 ms
Response time
average over 24h
1
Stars
last commit 4 Aug 2026

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.

run in your terminal
claude mcp add llm-orchestration-agent --transport http https://langchain-core-langchain-openai-l-736876.getvda.ai/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "llm-orchestration-agent": {
      "url": "https://langchain-core-langchain-openai-l-736876.getvda.ai/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.llm-orchestration-agent]
url = "https://langchain-core-langchain-openai-l-736876.getvda.ai/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "llm-orchestration-agent": {
      "url": "https://langchain-core-langchain-openai-l-736876.getvda.ai/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "llm-orchestration-agent": {
      "url": "https://langchain-core-langchain-openai-l-736876.getvda.ai/mcp"
    }
  }
}

Available tools 1

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.

Endpoints

URLTransportStateLatencyChecked
https://langchain-core-langchain-openai-l-736876.getvda.ai/mcp streamable-http answering 181 ms 7 min ago

LLM Orchestration Agent — questions

Answers built from our own checks of this server.

What can LLM Orchestration Agent do?
It exposes 1 tools, read directly from the server on our last check. Among them: invoke. 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 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 195 ms. The bar chart above shows every period we have measured.
How do I connect LLM Orchestration Agent?
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 need an API key?
No. LLM Orchestration Agent completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 1 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is LLM Orchestration Agent?
It answers our handshake in 195 ms on average, which is faster than 64% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is LLM Orchestration Agent open source?
Yes — it is published under the MIT licence, written in Python and 1 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.