llm-observability-orchestration

MCP serverMonitoring & ops

Lets your agent run prompts through a LangChain system+human chain on Google Gemini using an LLM MCP server.

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the invoke tool from llm-observability-orchestration

About this server

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

Install llm-observability-orchestration

The server’s own address, for the clients that take one directly. Or connect ahel onceand every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user llm-observability-orchestration 'https://langchain-core-langsmith-openai-8c02f9.getvda.ai/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://langchain-core-langsmith-openai-8c02f9.getvda.ai/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=llm-observability-orchestration&config=eyJ1cmwiOiJodHRwczovL2xhbmdjaGFpbi1jb3JlLWxhbmdzbWl0aC1vcGVuYWktOGMwMmY5LmdldHZkYS5haS9tY3AifQ==

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://langchain-core-langsmith-openai-8c02f9.getvda.ai/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add llm-observability-orchestration --url 'https://langchain-core-langsmith-openai-8c02f9.getvda.ai/mcp'

    Run it once, then sign in with codex mcp login llm-observability-orchestration if the server asks for an account.

From the project's README

As published by mikerawsonnz/gosce-agents in README.md. This repository publishes several servers, so only the opening is shown here.

A portfolio of production remote MCP + A2A agents running on getvda.ai, discovered + quality-assured by the GOSCE Portfolio Router. Each agent is capability-scoped, speaks open A2A + MCP, and is metered with Nevermined x402 micropayments (discovery is free).

Generated by GOSCE (GitHub Open-Source Combination Engine) — an automated pipeline that mines the OSS dependency graph for monetizable package combinations and deploys each as a verified agent.

Agents

AgentCapabilityDocs
Authenticated Multi-LLM Agentoauth-llmREADME · Smithery
Traced LLM Proxytraced-geminiREADME · Smithery
ai.getvda/bcrypt-langchain-core-mcp-25b8f1auth-llmREADME · Smithery
[Authenticated LL

Shortened here. Read the whole README on GitHub.

Tools it offers (2)

What this server listed when ahel dialed its public endpoint in Sep 2026, with no key and no account of yours. The names are the server’s own.

  • invoke
  • selftest

Signals

GitHub stars
1
Last commit
Sep 2026
Advanced
Delivery
llm-observability-orchestration MCP server → your ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
io-github-mikerawsonnz-llm-observability-orchestration
Source
github.com/mikerawsonnz/gosce-agents
Hosted endpoint
https://langchain-core-langsmith-openai-8c02f9.getvda.ai/mcp