introducing the dropspace MCP server

the Model Context Protocol (MCP) is an open standard that lets AI coding assistants connect to external services through a unified tool interface. instead of copy-pasting API responses into your chat, MCP tools let the assistant call APIs directly, parse results, and take action — all within your existing workflow.

MCP is supported by Claude Code, Cursor, Windsurf, and a growing number of AI-powered development tools. once configured, tools appear natively in the assistant's capabilities, just like file reading or terminal access.

the @jclvsh/dropspace-mcp package covers the full dropspace API surface:

• launches — create, update, list, delete, publish, and schedule launches
• personas — manage brand personas for consistent voice across platforms
• media — generate AI images and videos, manage media assets
• connections — view connected platform accounts and their status
• content — generate and regenerate AI-powered platform content
• API keys — create and manage developer API keys with scoped permissions
• webhooks — configure webhook endpoints for event notifications
• usage — check plan limits, billing period, and current usage
• account — view account info and subscription status

add the MCP server to your Claude Code configuration at ~/.claude/settings.json:

{
  "mcpServers": {
    "dropspace": {
      "command": "npx",
      "args": ["-y", "@jclvsh/dropspace-mcp"],
      "env": {
        "DROPSPACE_API_KEY": "ds_live_..."
      }
    }
  }
}

once configured, you can ask Claude Code to "list my dropspace launches" or "create a new launch for my project" and it will use the MCP tools directly.

add a .cursor/mcp.json file to your project:

{
  "mcpServers": {
    "dropspace": {
      "command": "npx",
      "args": ["-y", "@jclvsh/dropspace-mcp"],
      "env": {
        "DROPSPACE_API_KEY": "ds_live_..."
      }
    }
  }
}

the tools will be available in Cursor's AI assistant, letting you manage launches and content without leaving your editor.

with the MCP server integrated into your development workflow, you can:

• create and publish launches directly from your IDE as part of your release process
• generate AI content for multiple platforms while reviewing code changes
• set up webhook listeners to trigger CI/CD pipelines on launch events
• manage API keys and permissions without switching to the dashboard
• build custom automation scripts that combine dropspace with other MCP-enabled services

the package is available on npm as @jclvsh/dropspace-mcp. check the developer docs for the full tool reference.