mcpbeat

LLM Observability Orchestration MCP Server

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

LLM Observability Orchestration is answering right now. Last checked 12 min ago. It exposes 2 tools. Last commit 4 Aug 2026.

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

Uptime history 41 hours of history
41 hours agonow
100.0%
Uptime 24h
91 of 91 checks
2
Tools
read from the server
192 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 12 min ago.

run in your terminal
claude mcp add llm-observability-orchestration --transport http https://langchain-core-langsmith-openai-8c02f9.getvda.ai/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "llm-observability-orchestration": {
      "url": "https://langchain-core-langsmith-openai-8c02f9.getvda.ai/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.llm-observability-orchestration]
url = "https://langchain-core-langsmith-openai-8c02f9.getvda.ai/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "llm-observability-orchestration": {
      "url": "https://langchain-core-langsmith-openai-8c02f9.getvda.ai/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "llm-observability-orchestration": {
      "url": "https://langchain-core-langsmith-openai-8c02f9.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://langchain-core-langsmith-openai-8c02f9.getvda.ai/mcp streamable-http answering 191 ms 12 min ago

LLM Observability Orchestration — questions

Answers built from our own checks of this server.

What can LLM Observability Orchestration 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 Observability Orchestration 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 192 ms. The bar chart above shows every period we have measured.
How do I connect LLM Observability Orchestration?
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 Observability Orchestration need an API key?
No. LLM Observability Orchestration 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 Observability Orchestration?
It answers our handshake in 192 ms on average, which is faster than 65% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is LLM Observability Orchestration 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.