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LLM Orchestration Agent Langgraph MCP Server

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answering

LLM Orchestration Agent Langgraph is answering right now. Last checked 11 min ago. It exposes 2 tools.

LLM Orchestration Agent (Langgraph)

Uptime history 7 days of history
7 days agonow
100.0%
Uptime 24h
92 of 92 checks
2
Tools
read from the server
188 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 Langgraph every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 11 min ago.

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

URLTransportStateLatencyChecked
https://llm-orchestration-agent-langgraph.getvda.ai/mcp streamable-http answering 176 ms 11 min ago

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LLM Orchestration Agent Langgraph — questions

Answers built from our own checks of this server.

What can LLM Orchestration Agent Langgraph 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 Langgraph 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 188 ms. The bar chart above shows every period we have measured.
How do I connect LLM Orchestration Agent Langgraph?
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 Langgraph need an API key?
No. LLM Orchestration Agent Langgraph 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 Langgraph?
It answers our handshake in 188 ms on average, which is faster than 69% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.