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blacklotusdev8-test_m

blacklotusdev8-test_m

Remote
github.com/blacklotusdev8Browser Automation0Updated 58w ago
Repository

About blacklotusdev8-test_m

A Smithery-built MCP server example with a greeting tool. It also includes setup and deployment instructions for running the server locally or in Docker.

Key features

  1. 01Greeting tool for a named person
  2. 02Local development and interactive testing
  3. 03Docker container support
  4. 04MCP endpoint at /mcp

Use cases

  1. 01Testing a basic MCP greeting interaction
  2. 02Running an MCP server locally or in Docker

MCP support

Exposes a greeting tool to MCP clients through the `/mcp` endpoint. The README also describes interactive testing with the Smithery playground.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://server.smithery.ai/@blacklotusdev8/test_m/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://server.smithery.ai/@blacklotusdev8/test_m/mcpAuth required

Tools

Details

From the project README

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

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.