mcp/stdio.ts. It runs entirely on your own machine — there is no hosted service, no remote connector, and no installation through an MCP marketplace. Your AI client launches the Deno process directly, and all operations run against your SendWhale account using your user JWT and workspace ID.
What the MCP server enables
Once connected, your AI client can:- Read your workspace brand context, memories, and design instructions
- List and retrieve campaigns, templates, and audiences
- Create campaign drafts and email templates
- Manage audiences and save images to your workspace library
- Store durable brand facts and update brand instructions
The MCP server never sends or schedules campaigns. Delivery always requires a final human review step in SendWhale’s authenticated UI.
Supported clients
The MCP server works with any AI client that can launch a local stdio process and speaks the MCP protocol.Claude Desktop
Add the server to your
claude_desktop_config.json using the stdio server config format.Cursor
Configure the server under Cursor’s MCP settings using the stdio command and env block.
VS Code
Use the VS Code MCP extension to register the SendWhale stdio server.
Any stdio-compatible client
Any client that can launch a local process and communicate over stdin/stdout works with this server.
How it works
- Your AI client reads your MCP config and launches the Deno process, passing environment variables that include your user JWT and workspace ID.
- The MCP server starts up, validates your credentials, and confirms you have access to the specified workspace.
- Your AI client discovers the available tools, resources, and prompts exposed by the server.
- When you invoke a tool or resource, the server authenticates the request against your SendWhale account and returns structured results.
Next steps
Setup
Install Deno, configure environment variables, and connect your AI client.
Tools
Browse all 11 MCP tools with inputs, outputs, and read vs. write classification.
Resources
Read workspace brand context and documentation through MCP resources.
Prompts
Use built-in prompt templates to guide AI through common workflows.