a year ago
research-and-dataTypeScript Model Context Protocol (MCP) server boilerplate providing search API tools/resources. Includes CLI support and extensible structure for connecting AI systems (LLMs) to external data sources (Google, Bing, etc.) via SearchAPI.site
Overview
What is SearchAPI.site - MCP Server?
SearchAPI.site - MCP Server is a TypeScript Model Context Protocol (MCP) server boilerplate that provides search API tools and resources, enabling AI systems to connect to external data sources like Google and Bing.
How to use SearchAPI.site - MCP Server?
To use the MCP server, clone the repository, install the dependencies, and run the development server. You can then interact with the server using the command line interface (CLI) or through the MCP Inspector.
Key features of SearchAPI.site - MCP Server?
- Production-ready architecture with clear separation of concerns.
- TypeScript for improved code quality and maintainability.
- Fully implemented example tools, such as an IP lookup tool.
- Built-in testing framework for unit and integration tests.
- Development tooling including ESLint and Prettier.
Use cases of SearchAPI.site - MCP Server?
- Connecting AI assistants to various external data sources.
- Building custom tools for specific APIs.
- Testing and debugging AI integrations with the MCP Inspector.
FAQ from SearchAPI.site - MCP Server?
- Can I customize the MCP server?
Yes! You can extend the boilerplate to create custom MCP servers for any API or data source.
- What are the prerequisites for running the server?
You need Node.js (>=18.x) and Git for version control.
- Is there a testing framework included?
Yes, the boilerplate includes a testing infrastructure for both unit and CLI integration tests.