MCP cover image
See in Github
2025-04-14

0

Github Watches

0

Github Forks

0

Github Stars

Welcome to your Lovable project

Project info

URL: https://lovable.dev/projects/7d6e6d5e-3e55-4508-9fa8-dfca6d05bbfa

How can I edit this code?

There are several ways of editing your application.

Use Lovable

Simply visit the Lovable Project and start prompting.

Changes made via Lovable will be committed automatically to this repo.

Use your preferred IDE

If you want to work locally using your own IDE, you can clone this repo and push changes. Pushed changes will also be reflected in Lovable.

The only requirement is having Node.js & npm installed - install with nvm

Follow these steps:

# Step 1: Clone the repository using the project's Git URL.
git clone <YOUR_GIT_URL>

# Step 2: Navigate to the project directory.
cd <YOUR_PROJECT_NAME>

# Step 3: Install the necessary dependencies.
npm i

# Step 4: Start the development server with auto-reloading and an instant preview.
npm run dev

Edit a file directly in GitHub

  • Navigate to the desired file(s).
  • Click the "Edit" button (pencil icon) at the top right of the file view.
  • Make your changes and commit the changes.

Use GitHub Codespaces

  • Navigate to the main page of your repository.
  • Click on the "Code" button (green button) near the top right.
  • Select the "Codespaces" tab.
  • Click on "New codespace" to launch a new Codespace environment.
  • Edit files directly within the Codespace and commit and push your changes once you're done.

What technologies are used for this project?

This project is built with:

  • Vite
  • TypeScript
  • React
  • shadcn-ui
  • Tailwind CSS

How can I deploy this project?

Simply open Lovable and click on Share -> Publish.

Can I connect a custom domain to my Lovable project?

Yes it is!

To connect a domain, navigate to Project > Settings > Domains and click Connect Domain.

Read more here: Setting up a custom domain

相关推荐

  • WangRongsheng
  • 🧑‍🚀 全世界最好的LLM资料总结(Agent框架、辅助编程、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型) | Summary of the world's best LLM resources.

  • av
  • Effortlessly run LLM backends, APIs, frontends, and services with one command.

  • langgenius
  • Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

  • alibaba
  • an easy-to-use dynamic service discovery, configuration and service management platform for building AI cloud native applications.

  • rulego
  • ⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.

  • nbonamy
  • Witsy: desktop AI assistant / universal MCP client

  • sigoden
  • Easily create LLM tools and agents using plain Bash/JavaScript/Python functions.

  • evilsocket
  • The Simple Agent Development Kit.

  • modelscope
  • Start building LLM-empowered multi-agent applications in an easier way.

  • RockChinQ
  • 🤩 Easy-to-use global IM bot platform designed for the LLM era / 简单易用的大模型即时通信机器人平台 ⚡️ Bots for QQ / Discord / WeChat(企业微信、个人微信)/ Telegram / 飞书 / 钉钉 / Slack 🧩 Integrated with ChatGPT、DeepSeek、Dify、n8n、Claude、Google Gemini、xAI、PPIO、Ollama、阿里云百炼、SiliconFlow、Qwen、Moonshot、SillyTraven、MCP、WeClone etc. LLM & Agent

  • mem0ai
  • Memory for AI Agents; SOTA in AI Agent Memory; Announcing OpenMemory MCP - local and secure memory management.

    Reviews

    5 (0)