Server data from the Official MCP Registry
Greet anyone by name with a friendly hello. Scrape webpages to extract content for quick reference…
Greet anyone by name with a friendly hello. Scrape webpages to extract content for quick reference…
Remote endpoints: streamable-http: https://server.smithery.ai/@blacklotusdev8/test_m/mcp
Valid MCP server (1 strong, 3 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"ai-smithery-blacklotusdev8-test-m": {
"url": "https://server.smithery.ai/@blacklotusdev8/test_m/mcp"
}
}
}From the project's GitHub README.
An MCP server built with Smithery.
Run the server:
uv run dev
Test interactively:
uv run playground
Try saying "Say hello to John" to test the example tool.
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:
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
Your server code is in src/hello_server/server.py. Add or update your server capabilities there.
Ready to deploy? Push your code to GitHub and deploy to Smithery:
Create a new repository at github.com/new
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
Deploy your server to Smithery at smithery.ai/new
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