Atlas

{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "name": "io.github.AtlasDevHQ/atlas",
  "description": "Atlas is a YAML-defined semantic layer for analytics — authored by humans, consumed by AI agents.",
  "title": "Atlas",
  "repository": {
    "url": "https://github.com/AtlasDevHQ/atlas",
    "source": "github"
  },
  "version": "0.0.2",
  "websiteUrl": "https://docs.useatlas.dev/guides/mcp",
  "packages": [
    {
      "registryType": "npm",
      "identifier": "@useatlas/mcp",
      "version": "0.0.2",
      "runtimeHint": "npx",
      "transport": {
        "type": "stdio"
      },
      "environmentVariables": [
        {
          "description": "Analytics datasource URL (postgres, mysql, clickhouse, snowflake, duckdb, bigquery, salesforce). Optional — falls back to a bundled NovaMart SQLite demo when unset.",
          "isSecret": true,
          "name": "ATLAS_DATASOURCE_URL"
        },
        {
          "description": "LLM provider: anthropic, openai, bedrock, ollama, openai-compatible, gateway. Optional — the MCP server does not call an LLM directly (the client does); set this only if you also run Atlas's chat or scheduler.",
          "name": "ATLAS_PROVIDER"
        },
        {
          "description": "URL of a running Atlas API. Optional — defaults to http://localhost:3001. When set, the MCP server inherits the API's connections, semantic layer, and governance.",
          "name": "ATLAS_API_URL"
        }
      ]
    }
  ]
}