Entroly

{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "name": "io.github.juyterman1000/entroly",
  "description": "Context Assurance for AI agents: context engineering, AI cost optimization, verification.",
  "title": "Entroly",
  "repository": {
    "url": "https://github.com/juyterman1000/entroly",
    "source": "github"
  },
  "version": "1.0.86",
  "websiteUrl": "https://github.com/juyterman1000/entroly",
  "packages": [
    {
      "registryType": "pypi",
      "registryBaseUrl": "https://pypi.org",
      "identifier": "entroly",
      "version": "1.0.86",
      "runtimeHint": "uvx",
      "transport": {
        "type": "stdio"
      },
      "environmentVariables": [
        {
          "value": "public",
          "name": "ENTROLY_MCP_PROFILE"
        },
        {
          "value": "1",
          "name": "ENTROLY_MCP_PASSIVE"
        },
        {
          "value": "1",
          "name": "ENTROLY_NO_DOCKER"
        }
      ]
    },
    {
      "registryType": "npm",
      "registryBaseUrl": "https://registry.npmjs.org",
      "identifier": "entroly-mcp",
      "version": "1.0.86",
      "runtimeHint": "npx",
      "transport": {
        "type": "stdio"
      },
      "environmentVariables": [
        {
          "value": "public",
          "name": "ENTROLY_MCP_PROFILE"
        },
        {
          "value": "1",
          "name": "ENTROLY_MCP_PASSIVE"
        },
        {
          "value": "1",
          "name": "ENTROLY_NO_DOCKER"
        }
      ]
    }
  ]
}