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- hello-mcp-server
Hello Mcp Server
What is Hello Mcp Server
hello-mcp-server is a Model Context Protocol (MCP) server implementation designed to facilitate interactions between AI assistants, such as Claude, and external services and data sources.
Use cases
Use cases for hello-mcp-server include retrieving stock prices, managing customer inquiries, and integrating various data services for AI-driven applications.
How to use
To use hello-mcp-server, clone the repository, install the dependencies using pnpm, build the project, and configure it with Claude Desktop by modifying the configuration file to point to the server’s executable.
Key features
Key features include support for running individual tasks, integration with Claude Desktop, and the ability to debug and test using the MCP Inspector tool.
Where to use
hello-mcp-server can be used in fields that require AI assistants to access and interact with external data sources, such as finance, customer service, and data analysis.
Overview
What is Hello Mcp Server
hello-mcp-server is a Model Context Protocol (MCP) server implementation designed to facilitate interactions between AI assistants, such as Claude, and external services and data sources.
Use cases
Use cases for hello-mcp-server include retrieving stock prices, managing customer inquiries, and integrating various data services for AI-driven applications.
How to use
To use hello-mcp-server, clone the repository, install the dependencies using pnpm, build the project, and configure it with Claude Desktop by modifying the configuration file to point to the server’s executable.
Key features
Key features include support for running individual tasks, integration with Claude Desktop, and the ability to debug and test using the MCP Inspector tool.
Where to use
hello-mcp-server can be used in fields that require AI assistants to access and interact with external data sources, such as finance, customer service, and data analysis.
Content
Hello MCP Server
This is a Model Context Protocol (MCP) server implementation that enables AI assistants to interact with external services and data sources. The server is designed to work with Claude and other MCP-compatible AI assistants.
Prerequisites
- Node.js (v18 or higher)
- pnpm package manager
- force CLI, install with
pnpm i -g @forgehive/forge-cli
Installation
Clone the repository and install dependencies:
git clone <repository-url>
cd hello-mcp-server
pnpm install
Build
Build the project with:
pnpm run build
This will compile TypeScript into JavaScript in the dist
directory.
Running Tasks Directly
You can run individual tasks directly using the Forge runner:
# Run the stock price task with a ticker parameter
forge task:run stock:price --ticker AAPL
Adding to Claude Desktop
To use the server with Claude Desktop:
- Build the project with
pnpm run build
- Modify the Claude Desktop configuration file:
With nano: ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"hello-mcp-server": {
"command": "node",
"args": [
"ABSOLUTE_PATH_TO_PROJECT/hello-mcp-server/dist/index.js"
]
}
}
}
Replace ABSOLUTE_PATH_TO_PROJECT
with the actual absolute path to your project directory.
Using MCP Inspector
For debugging and testing your MCP server, you can use the MCP Inspector tool:
npx @modelcontextprotocol/inspector ABSOLUTE_PATH_TO_PROJECT/hello-mcp-server/dist/index.js
The inspector provides a web interface to test your server’s tools and see their responses.
Development
To add new tasks:
-
Create a new task using the Forge CLI:
forge task:create MODULE:TASK_NAME
This will generate a task template file in
src/tasks/MODULE/TASK_NAME.ts
. -
Implement your task in the generated file using the Forge Task API.
-
Register the task in the runner (src/runner.ts):
import { yourTask } from './tasks/module/your-task'; // Add your task to the runner runner.load('your_task_name', yourTask);
-
Build the project with
pnpm run build
The server will automatically register all tasks from the runner as MCP tools without needing to manually add them to the src/index.ts
file.