git init is one way to start a new project with Git. To start a repository, use either git init or git clone – not both.. To initialize a repository, Git creates a hidden directory called .git.That ...

The goal of this template is to provide a straightforward and efficient approach to enterprise application development, leveraging the power of Clean Architecture and ASP.NET Core. Using this template ...

Get started building with the Gemini API. google-gemini has 33 repositories available. Follow their code on GitHub.

This project demonstrates a fullstack application using a React frontend and a LangGraph-powered backend agent. The agent is designed to perform comprehensive research on a user's query by dynamically ...

Free and open fair-code licensed node based Workflow Automation Tool. n8n is the company behind n8n, the product. We're building a workflow automation platform that gives technical teams the ...

Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors - upstash/context7 ...

Authentication built in, using your existing FastAPI dependencies!. FastAPI-native: Not just another OpenAPI -> MCP converter Zero/Minimal configuration required - just point it at your FastAPI app ...

MCP servers enhance the capabilities of foundation models (FMs) in several key ways: Improved Output Quality: By providing relevant information directly in the model's context, MCP servers ...

Here you can configure the client(s). The Address can be entered manually or calculated based on the server's network range. For example, if the server's network is 10.253.0.0/24, the client config ...

The Model Context Protocol (MCP) lets you build servers that expose data and functionality to LLM applications in a secure, standardized way. Think of it like a web API, but specifically designed for ...

Rich Tool Ecosystem: Utilize pre-built tools, custom functions, OpenAPI specs, or integrate existing tools to give agents diverse capabilities, all for tight integration with the Google ecosystem..

This project implements a Model Context Protocol (MCP) integration between Cursor AI and Figma, allowing Cursor to communicate with Figma for reading designs and modifying them programmatically.