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npm @lindoai/mcp-serverstreamable-httpMITupdated 2mo ago

MCP (Model Context Protocol) server for Lindo AI — create websites, pages, and blog posts with AI directly from Claude, Cursor, Kiro, Windsurf, and other MCP-compatible tools.

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What can you do with Lindo AI?

@lindoai/mcp-server

MCP (Model Context Protocol) server for Lindo AI — create websites, pages, and blog posts with AI directly from Claude, Cursor, Kiro, Windsurf, and other MCP-compatible tools.

Listed in the official MCP Registry as io.github.lindoai/mcp-server.

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Setup

Add to your MCP client configuration:

{
  "mcpServers": {
    "lindo": {
      "command": "npx",
      "args": ["-y", "@lindoai/mcp-server"],
      "env": {
        "LINDO_API_KEY": "your_api_key_here"
      }
    }
  }
}

Where to add this config

Client Config file
Claude Desktop ~/Library/Application Support/Claude/claude_desktop_config.json (macOS)
Claude Code .claude/settings.json
Cursor .cursor/mcp.json
Kiro .kiro/settings/mcp.json
Windsurf MCP settings in IDE

Getting your API key

  1. Go to app.lindo.ai
  2. Navigate to Workspace Settings → API Keys
  3. Create a new API key
  4. Copy the key and paste it as LINDO_API_KEY

Requires a Business or Whitelabel plan.

Available Tools

Websites

  • create_website — Create a new website using AI from a text prompt
  • list_websites — List all websites in your workspace

Pages

  • edit_website — Edit an existing website (across its pages) using AI
  • publish_blog — Publish a static blog post with markdown content

Blog

  • create_blog — Generate a blog post on a website using AI

Clients

  • create_client — Create a new client
  • list_clients — List all clients
  • assign_website — Assign a website to a client
  • generate_magic_link — Generate a client login link

Credits

  • allocate_credits — Allocate credits to a client

Scheduling

The create_website, edit_website, and create_blog tools support an optional schedule_at parameter (ISO 8601 datetime) to schedule the workflow for a future time.

Remote MCP Server

You can also connect via the remote MCP endpoint without installing anything:

https://mcp.lindo.ai/mcp

Links