MCP Server
A lightweight and extensible Model Context Protocol server built with Node.js, exposing custom tools and resources for AI clients.
README
MCP Server š
A lightweight and extensible Model Context Protocol (MCP) Server built with Node.js and the official MCP SDK. This project exposes custom tools and resources that can be used by MCP-compatible AI clients, enabling seamless integration with external services and AI models.
āØ Features
- š§ Custom MCP tools
- š¤ AI model integration
- š¦ Modular project structure
- ā” Fast and lightweight
- š Environment variable support
- š JSON-RPC communication
- š Easy to extend with new tools
- š Resource support
- š ļø Developer-friendly architecture
š ļø Tech Stack
- Node.js
- TypeScript
- Model Context Protocol (MCP) SDK
- Google Gemini API (Optional)
- dotenv
š Project Structure
mcp-server/
āāā src/
ā āāā index.ts
ā āāā tools/
ā āāā resources/
ā āāā handlers/
ā āāā utils/
āāā package.json
āāā tsconfig.json
āāā .env.example
āāā .gitignore
āāā README.md
š Installation
Clone the repository:
git clone https://github.com/NavanethaKrishnan-14/<repository-name>.git
Navigate to the project:
cd <repository-name>
Install dependencies:
npm install
āļø Environment Variables
Create a .env file in the project root.
Example:
GEMINI_API_KEY=your_api_key
Never commit your actual
.envfile to GitHub.
ā¶ļø Running the Server
Development mode:
npm run dev
Production:
npm run build
npm start
š§ Example MCP Tools
- Greeting Tool
- Calculator Tool
- AI Chat Tool (Gemini)
- Custom Resource Provider
These tools can be extended by adding new handlers in the tools directory.
š” Compatible MCP Clients
This server can be integrated with MCP-compatible clients such as:
- Cursor
- Claude Desktop
- VS Code MCP extensions
- Custom MCP clients
š Future Enhancements
- Authentication support
- Streaming responses
- Database integration
- Logging and monitoring
- Additional AI providers
- File system tools
- Web search tools
š¤ Contributing
Contributions are welcome. Feel free to fork the repository, create a feature branch, and submit a pull request.
š License
This project is licensed under the MIT License.
šØāš» Author
Navanetha Krishnan
GitHub: https://github.com/NavanethaKrishnan-14
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