Boilerplate
Createdaashari
Provides a template for building Model Context Protocol (MCP) servers that connect AI assistants to external data sources.
About
This project offers a TypeScript-based Model Context Protocol (MCP) server boilerplate, designed as a starting point for linking AI assistants like Claude to external data. It features an IP lookup tool example, CLI support, and MCP Inspector integration. The extensible architecture facilitates connecting AI systems to diverse data sources, promoting efficient AI tool development.
Key Features
- Pre-configured MCP server structure with CLI support.
- Built with TypeScript for type safety and maintainability.
- Demonstrates established architecture patterns for production MCP servers.
- Offers testing infrastructure for unit and CLI integration tests.
- Includes a functional IP lookup tool example.
- 2 GitHub stars
Use Cases
- Connecting Anthropic's Claude to custom data sources.
- Quickly prototyping and deploying MCP-compliant servers.
- Developing AI-powered tools that require external API access.