Alternatives
Products that do what I've built a React chat client that interacts with your MCP server does
Today, we can see many MCP clients, which is good when you want to interact with your MCP servers. However, you still need to write your frontend component (mostly a chat), which takes time.
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Open-source & web based MCP client. Chat with any MCP server in your own app. Powered by CopilotKit & Composio. Shipped this with cursor over the weekend and built: 1. The first web-based MCP client (deployed version on GH) 2. An open-source client you can add into any app. Built using CopilotKit for the client and interactivity layer + agent frontend which connects to a LangGraph ReAct agent that coordinates MCP calls. Uses Composio's MCP server.
2025 · github.com
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A few weekends ago I was bored looking for a small project. I decided to make a small chat app that supports SSL and can be deployed easily. Front-end: ReactJS, Redux, Websockets Back End: Node.JS, Redis, Websockets Here is the source: http://www.github.com/lgse/react-chat Here is a demo: http://chat.lgse.net username: pick whatever you like! server: chat.lgse.net:1337 encryption: SSL/TLS There are still a lot of todos, but very functional for a small weekend project. Comments welcomed!
2016
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2017 · github.com
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Build ChatGPT-like virtual robots that work for your business and know your users. Add them to your app in 3 minutes using our interaction APIs and SDKs.
2023 · docs.proficientai.com
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800M people use ChatGPT and Claude weekly. Right now they get text responses. Soon they'll get real interfaces: product cards, blog posts, booking flows, payment screens rendered directly in the conversation. We built an open-source component library for this. Install any block with one command and customize it to your brand. If you're building MCP servers or experimenting with AI-native apps, this might save you time. Are you building apps for AI assistants? Would love to hear what's missing in your workflow.
Dec 2025 · ui.manifest.build
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I built an MCP server that connects coding agents (Claude Code, Cursor, OpenCode, Codex) to a collaborative workspace where your team and other AI models can review what the agent is planning. The problem: When Claude Code creates an implementation plan, it lives in your terminal session. Nobody else sees it until it becomes a PR. If you want GPT to check the architecture or a teammate to flag issues, you're copy-pasting between windows. This MCP server fixes that. When your agent creates a plan, it gets shared as a collaborative thread in CoChat. Engineers comment on it, other AI models…
Feb 2026 · github.com
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2017 · github.com
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Hi HF, I'm Terrell, and we built an open-source app that lets developers create their own Operator with a Next.js/React front-end and a flask back-end. The purpose is to simplify spinning up virtual desktops (Xfce, VNC) and automate desktop-based interactions using computer use models like OpenAI’s There are already various cool tools out there that allow you to build your own operator-like experience but they usually only automate web browser actions, or aren’t open sourced/cost a lot to get started. Spongecake allows you to automate desktop-based interactions, and is fully open…
2025 · github.com
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Hi all, I'm one of the authors of Serverless-Stack.com — an open source guide to building full-stack apps with AWS Lambda and React. Since it's launch in 2017, it's become one of the most widely read guides for building Serverless apps. Today we are adding a new section to the guide that walks you through the best practices of building large Serverless applications. It tries to address some of the most common questions that teams have: - How should my project be structured when I have dozens of interdependent services? - How should I manage my environments? - What are the best practice for…
2019
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I've been working in the couple of months on an experiment, trying to make GPT-4 much more useful for web development / React, writing production code that is relevant to any repository without copy pasta from ChatGPT or having small snippets of auto-complete from Copilot that are not in your context. The agent is taking a user story text and generating and composing multiple react components to generate the relevant screens, based on atomic design principles, with Typescript, TailwindCSS and RadixUI. Is is still experimental but very interesting results, I would like to get your…
2023 · github.com
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