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ai.smithery/blacklotusdev8-test_m

Greet anyone by name with a friendly hello. Scrape webpages to extract content for quick reference…

Links

Repository

README

From the repo.

test

An MCP server built with Smithery.

Prerequisites

Getting Started

  1. Run the server:

    uv run dev

  2. Test interactively:

    uv run playground

Try saying "Say hello to John" to test the example tool.

Run with Docker

Build the image (from the project root):

docker build -t hello-server .

Run the container:

docker run --rm -p 8081:8081 --shm-size=1g hello-server

Notes:

  • The server listens on 0.0.0.0:8081 and serves the MCP endpoint at /mcp.
  • --shm-size=1g improves browser stability for Playwright/Firefox-based scraping.

You can now connect an MCP client to:

http://localhost:8081/mcp

Development

Your server code is in src/hello_server/server.py. Add or update your server capabilities there.

Deploy

Ready to deploy? Push your code to GitHub and deploy to Smithery:

  1. Create a new repository at github.com/new

  2. Initialize git and push to GitHub:

    git add .
git commit -m "Hello world 👋"
git remote add origin https://github.com/YOUR_USERNAME/YOUR_REPO.git
git push -u origin main

  3. Deploy your server to Smithery at smithery.ai/new

Config for your environment

Use the endpoint URL below in your config. No API key — you connect directly.

Tool

OS

Config file: ~/.cursor/mcp.json

{
  "mcpServers": {
    "mcp-server": {
      "url": "https://server.smithery.ai/@blacklotusdev8/test_m/mcp"
    }
  }
}

Paste into mcpServers in the config file. Restart Cursor after saving.

If this MCP is also published on mcpchannel.ai, you can subscribe from Browse and use the gateway config there instead.