Agent♥︎Age
Catalog

io.github.mikerawsonnz/llm-orchestration-agent

Official1 toolLive

by mikerawsonnz · Python

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

io.github.mikerawsonnz/llm-orchestration-agent MCP Server

This MCP server runs a prompt through a LangChain chain composed of system and human messages, targeting Gemini on Vertex AI. It optionally integrates LangSmith. It exposes one tool (toolCount: 1) and is associated with a set of MCP and A2A-capable agent concepts (from the provided excerpt).

🛠️ Key Features

  • LangChain system + human prompt chain
  • Gemini on Vertex AI execution
  • Optional LangSmith integration
  • Single exposed tool

🚀 Use Cases

  • Orchestrating LLM prompts using an agent-style workflow
  • Running A2A + MCP-capable agents with Gemini/Vertex AI
  • Using discovery/meters as described in the excerpt (Nevermined x402; discovery free)

⚡ Developer Benefits

  • Clear chain structure (system + human) for prompt execution
  • Compatibility focus indicated by topics: A2A and model-context-protocol
  • Optional observability/testing via LangSmith

⚠️ Limitations

  • Only one tool is indicated (toolCount: 1)
  • Provided excerpt does not specify additional MCP tools, endpoints, or configuration details

Topics

a2aagentmcpmcp-servermodel-context-protocolneverminedx402ai-agentsgeminillm

Related servers

More in Cloud & DevOps