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Domo

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Domo — Model Context Protocol server

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Описание

Domo — Model Context Protocol server

README

A Model Context Protocol (MCP) server that connects to Domo API.

Tools

  • Run SQL queries on Domo DataSets
  • Search for DataSets by name
  • Get the metadata of Domo DataSets
  • Get the schema of Domo DataSets

Prerequisites

  • Python 3.11+ OR Docker
  • Visual Studio Code
  • Domo instance with:
    • Developer access token
    • Access to datasets to query

Setup

Local Python Setup

  1. Clone this repository
  2. Navigate to the cloned directory
  3. Install the required packages:
    pip install -r requirements.txt
    
  4. Add configuration to your VS Code settings:
    {
      "name": "Domo MCP Server",
      "type": "stdio",
      "command": "python",
      "args": ["-m", "domo_mcp"],
      "env": {
        "PYTHONPATH": "${workspaceFolder}",
        "DOMO_DEVELOPER_TOKEN": "<your_domo_developer_token>",
        "DOMO_HOST": "<instance-name.domo.com>"
      }
    }
    
  5. Ensure the server is running

Local Docker Setup

  1. Clone this repository
  2. Navigate to the cloned directory
  3. Build the Docker image:
     docker build -t domo-mcp-server .
    
  4. Add configuration to your VS Code settings:
       "domo-mcp": {
         "command": "docker",
         "args": [
           "run",
           "-i",
           "-e",
           "DOMO_DEVELOPER_TOKEN",
           "-e",
           "DOMO_HOST",
           "domo-mcp-server"
         ],
         "env": {
           "DOMO_DEVELOPER_TOKEN": "<domo_developer_token>",
           "DOMO_HOST": "<instance-name.domo.com>"
         }
       }
    

Obtaining a Domo Developer Token

Follow these steps to generate an access token.

Running the Server

Start the MCP server:

python domo.py

You can test the MCP server using the inspector by running

npx @modelcontextprotocol/inspector python3 domo.py

Available MCP Tools

The following MCP tools are available:

  1. get_dataset_metadata(dataset_id: str) - Get metadata for a DataSet
  2. get_dataset_schema(dataset_id: str) - Get the schema for a DataSet
  3. query_dataset(dataset_id: str, query: str) - Query a DataSet with SQL
  4. search_datasets(query: str) - Search for a DataSet by name to get its id
  5. list_roles() - List all roles in the Domo instance
  6. create_role(name: str, from_role_id: int, description: Optional[str]) - Create a new role in the Domo instance
  7. list_role_authorities(role_id: int) - List authorities for a specific role in the Domo instance

Example Usage with LLMs

When used with LLMs that support the MCP protocol, this server enables natural language interaction with your Domo environment:

  • "How many orders in my Example Sales dataset have critical priority?"
  • "Who owns the Customer Invoice dataset?"
  • "Show me the logs for the last 3 hours in my Activity Log dataset."

Troubleshooting

Connection Issues

  • Ensure your Domo host is correct and doesn't include https:// prefix
  • Verify your personal access token has the necessary permissions and hasn't expired
  • Run the included test script: python test_connection.py

Security Considerations

  • Your Domo developer token provides direct access to your instance
  • Secure your .env file and never commit it to version control
  • Run this server in a secure environment

from github.com/dawoodali-showpass/domo-mcp-server

Установка Domo

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/dawoodali-showpass/domo-mcp-server

FAQ

Domo MCP бесплатный?

Да, Domo MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Domo?

Нет, Domo работает без API-ключей и переменных окружения.

Domo — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Domo в Claude Desktop, Claude Code или Cursor?

Открой Domo на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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