Server data from the Official MCP Registry
Create personalized greetings by name in the tone you choose. Get quick suggestions for friendly i…
About
Create personalized greetings by name in the tone you choose. Get quick suggestions for friendly i…
Remote endpoints: streamable-http: https://server.smithery.ai/@dsharipova/mcp-hw/mcp
Security Report
Valid MCP server (1 strong, 1 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.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
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-dsharipova-mcp-hw": {
"url": "https://server.smithery.ai/@dsharipova/mcp-hw/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
mcp-1
An MCP server built with Smithery CLI
Prerequisites
- Smithery API key: Get yours at smithery.ai/account/api-keys
Getting Started
-
Run the server:
uv run dev -
Test interactively:
uv run playground
Try saying "Say hello to John" to test the example tool.
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:
-
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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