You can quickly test the Triplewhale MCP server and tools in a dedicated Meshagent Room using the steps below:

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Environment Variables

You’ll need to provide the following environment variable:
  • TRIPLEWHALE_API_KEY: your-triplewhale-api-key-here

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Steps

  1. Install Meshagent CLI 
    pip install "meshagent[all]"
  2. Sign up and Authenticate
  3. Start MCP Server in a Test Room 
    meshagent service test --room=test --role=agent --image=meshagent/mcp-triplewhale:latest \
  --env MESHAGENT_PORT=8001 --env TRIPLEWHALE_API_KEY=your-triplewhale-api-key-here \
  --port="num=8001 path=/webhook liveness=/ type=meshagent.callable" \
  --name=mcp-triplewhale-service-test
    • This starts a Meshagent Room named test and runs the Triplewhale MCP server tool in it.
    • Room and services automatically close when inactive.
  4. Start Chatbot Agent in the Room 
    meshagent chatbot join --room=test --agent-name=mcp-triplewhale \
  --name=mcp-triplewhale --toolkit=mcp-triplewhale
    • This launches a chatbot in the same room, empowered with the Triplewhale toolkit. Multiple toolkits can be active simultaneously in a room.
    • A room link will appear in the CLI output.
  5. Test in Your Browser
    • Open the room URL in your browser to interact with the agent and MCP tools by sending messages.

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Project Level Deployment

For production setups, you may wish to create persistent MCP tools and chatbot agents at the project level. These services will automatically join every new room created in your Meshagent project, with no need for manual startup.

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Steps

  1. Deploy the MCP Server Agent (persistent) 
    meshagent service create --role=agent --image=meshagent/mcp-triplewhale:latest \
  --env MESHAGENT_PORT=8001 --env TRIPLEWHALE_API_KEY=your-triplewhale-api-key-here \
  --port="num=8001 path=/webhook liveness=/ type=meshagent.callable" \
  --name=mcp-triplewhale-service
  2. Deploy the Chatbot Agent (persistent) 
    meshagent service create --image="meshagent/cli:latest" \
  --port="num=9001 path=/agent liveness=/ type=meshagent.callable participant_name=mcp-triplewhale-chatbot" \
  --env="MESHAGENT_PORT=9001" --name="mcp-triplewhale-chatbot-service" \
  --command="meshagent chatbot service --agent-name=mcp-triplewhale-chatbot --toolkit=mcp-triplewhale"
    • Both the MCP server tools and the chatbot will show up on every room creation inside your Meshagent project.
    • No need to run the MCP server or chatbot locally!

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Tools Available

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Tools Summary

ToolShort Description
mobymoby tool helps users access e-commerce performance data.

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Tools Details

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Tool: moby

  • The moby tool is designed to help users access e-commerce performance data from Triplewhale.
  • To use the tool, the user must provide their shopId (an identifier for their e-commerce store).
  • The user can ask questions related to their store’s performance, such as “What is my ROAS for Facebook campaigns in the last 60 days?”
API Interaction:
  • The tool will send a request to the Triple Whale Moby API including the question, your shopId, and your API key.
  • The response will include an array of answers, provided in a structured format, along with an assistant-generated summary.
  • If data visualization or similar reports are available, links or format suggestions are included in the response.
  • If errors occur (invalid key, unauthorized, missing shopId, etc.), clear error messages are provided:
    • Invalid credentials: “Invalid credentials. Please check your settings.”
    • Missing shopId: The user is prompted to enter it.
    • API key expired or no shop access: “API key is expired or doesn’t have access to the shop.”
    • Generic errors: “Something went wrong. Please try again later.”
Response Structure: 
export type SimplifiedResponse = {
  isError: boolean;
  errorMsg?: string;
  question: string;
  answer: Record<string, string | number | null>[];
  assistant: string;
};

export type SimplifiedMobyResponse = {
  isError: boolean;
  error?: string;
  responses: SimplifiedResponse[];
  assistantConclusion: string;
};
Each valid response displays:
  • The question asked.
  • Answers in a structured, clear format.
  • Data visualization suggestions (if any).
  • Related report links (if provided).
  • The assistant’s concluding summary, with follow-up prompts for further assistance.
Why use Docker and Meshagent?
Docker provides an isolated environment to run the MCP server securely; Meshagent manages the services, toolkits, and conversational bots, giving you instant, ephemeral, or persistent cloud deployments with collaboration and easy cleanup, all from the CLI. Learn more about the Model Context Protocol (MCP) and why Docker is recommended for MCP Servers.