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Proxmox LangChain Agent

@johnstetter

About Proxmox LangChain Agent

langchain-based client for proxmox mcp server - co-pilot experiment

Basic information

Category

AI & Agents

Runtime

python

Transports

stdio

Publisher

johnstetter

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "agent-proxmox": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "agent-proxmox",
        "."
      ]
    }
  }
}

Tools

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Overview

What is Proxmox LangChain Agent?

A lightweight FastAPI service that provides a chat endpoint backed by LangChain and Redis-based message history. It uses an Ollama LLM and is designed to interact with a Proxmox MCP (Model Context Protocol) server, enabling conversational access to Proxmox cluster and VM information.

How to use Proxmox LangChain Agent?

Build the Docker image with docker build -t agent-proxmox ., then run the container exposing port 8501 and setting environment variables for Redis (REDIS_HOST, REDIS_PORT, REDIS_PASSWORD) and log directory (LANGCHAIN_LOG_DIR). Optionally integrate it into a Docker Compose stack. Invoke the service by sending a POST request to /chat with a JSON body {"message": "Your question here"}.

Key features of Proxmox LangChain Agent?

  • FastAPI /chat endpoint with LangChain agent
  • Redis-backed conversation history persistence
  • Two custom Proxmox MCP tools: get_vm_list and get_cluster_info
  • Uses Ollama LLM for

Comments

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