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90
MCP live MCP 2026-07-28 http

LLM Observability & Orchestration Agent

a2a/llm-observability-orchestration

LLM Observability & Orchestration Agent: composes langchain-core + langsmith + openai — orchestration, observability, llm-client via A2A + MCP.

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Watch this dependency Share evidence report
Uptime
100.0%
5 direct probes · 30d
Response
699ms
last probe
Tools
2
callable
Resources
0
readable
Prompts
0
available
Primary URL
https://llm-observability-orchestration.getvda.ai/mcp
Score: 90/100
Handshake verified by our own probe.
pass Answers the MCP handshake 50/50
The handshake and the list calls succeeded on the primary URL.
pass Lists tools, resources or prompts 30/30
2 tools, 0 resources, 0 prompts returned.
partial 3 or more catalogue items 0/10
2 items in total; 3 or more earns these points.
How to earn +10 points
Expose at least three tools, resources or prompts
Split a catch-all tool into focused ones, or publish your docs and templates as resources and prompts.
Docs →
pass Describes itself 10/10
143 characters; more than 30 earns these points.

Tools · 2

invoke

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

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, go…

How to use

Claude Desktop or claude.ai: add a custom connector (Customize → Connectors; on Team and Enterprise plans an owner adds it under Organization settings → Connectors) with this server URL: https://llm-observability-orchestration.getvda.ai/mcp

Cursor or Cline: add to your MCP config:

{
  "mcpServers": {
    "llm_observability_\u0026_orchestration_agent": {
      "url": "https://llm-observability-orchestration.getvda.ai/mcp",
      "transport": "http"
    }
  }
}