ai.smithery/blacklotusdev8-test_m
Greet anyone by name with a friendly hello. Scrape webpages to extract content for quick reference…
Open source Repository Open in the app JSON README (API)
About
Greet anyone by name with a friendly hello. Scrape webpages to extract content for quick reference…
Details
- Kind
- MCP servers
- Topic
- Web search, scraping & browser
- Publisher
- ai.smithery
- Origin
- official
- Category
- ferramentas
- Transport
- http
- Version
- 1.14.0
- Open pull requests
- 2
- Last push
- 2025-09-26T04:17:48Z
- Repository state
- ativo
- Language
- Python
- Added
- 2026-08-29 03:00:39
- Updated
- 2026-08-29 03:00:39
- Origin id
ai.smithery/blacklotusdev8-test_m
README
# test An MCP server built with Smithery. ## Prerequisites - **Smithery API key**: Get yours at [smithery.ai/account/api-keys](https://smithery.ai/account/api-keys) ## Getting Started 1. Run the server: ```bash uv run dev ``` 2. Test interactively: ```bash uv run playground ``` Try saying "Say hello to John" to test the example tool. ## Run with Docker Build the image (from the project root): ```bash docker build -t hello-server . ``` Run the container: ```bash 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](https://github.com/new) 2. Initialize git and push to GitHub: ```bash 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](https://smithery.ai/new)