mcpField
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dsharipova-mcp-hw

dsharipova-mcp-hw

Remote
github.com/dsharipovaDeveloper Tools0Updated 56w ago
Repository

About dsharipova-mcp-hw

dsharipova-mcp-hw is an example MCP server built with Smithery CLI. Its README demonstrates testing a greeting tool and describes how to develop and deploy the server.

Key features

  1. 01Example greeting tool
  2. 02Interactive testing with playground
  3. 03Server capability development
  4. 04Deployment through Smithery

Use cases

  1. 01Try a sample personalized greeting
  2. 02Test an MCP tool interactively

MCP support

Provides an example greeting tool to MCP clients.

Configuration

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

Endpointhttps://server.smithery.ai/@dsharipova/mcp-hw/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/@dsharipova/mcp-hw/mcpAuth required

Tools

Details

From the project README

mcp-1

An MCP server built with Smithery CLI

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.

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.