AI · alternatives · 2026
24 alternatives to NewAgentsHub
Describe any AI app, Get a live, MCP-powered app in minutes
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 2 we have checked on their own sites, 2 of them free or with a free tier.
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QuickAgent▲155Easily build AI agents that connect to any service, no-code
2025 · quickagent.app · its alternatives →
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API to MCP▲195Turn any API into an MCP server for AI agents
Jun 2026 · apitomcp.ai · its alternatives →
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HTML Pub▲393Turn AI-generated HTML into a live URL via MCP/API
Mar 2026 · htmlpub.com · its alternatives →
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AI App Generator▲501Turn AI ideas into working apps in seconds
2024 · anotherwrapper.com · its alternatives →
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MCP-Builder.aifree tier, from $29/mo▲174The fastest way to connect your data with your AI Tools.
Aug 2026 · mcp-builder.ai · its alternatives →
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NitroStackfree tier, from $30/mo▲241Build, test, and deploy MCP servers in one place
15d ago · nitrostack.ai · its alternatives →
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Hey HN, I spent my xmas break building an agent framework called mcp-agent [1](https://github.com/lastmile-ai/mcp-agent) for Model Context Protocol [2]. It makes it easy to build AI apps with MCP servers, and implements every pattern from the popular Building Effective Agents blog [3] as well as OpenAI’s Swarm [4]. I’m sharing it early to get community feedback on where to take it from here, and to ask for contributions. For those who aren’t familiar with MCP, I think of it as a standardized interface to let AI communicate with software via tool calls, resources and…
2025 · github.com · its alternatives →
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Work across 20+ apps in Slack with multiplayer collaboration
Jun 2026 · slack.com · its alternatives →
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Rebolt▲110Build AI-powered apps and agents, by speaking with AI
2025 · rebolt.ai · its alternatives →
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Give your agent tools to create beautiful, codebase-aware UI
Apr 2026 · aidesigner.ai · its alternatives →
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Hey HN! We built a browser-based agent that runs inside an authenticated web app, watches how the app calls its own APIs, and automatically turns those into agent tools. You can think of it as an auto-generated MCP server that self-updates as the host app changes. The result is a skilled AI assistant that actually integrates deeply with any product (not just chat and RAG) with minimal effort. Check out these short demos below that show the agent in software you're probably familiar with: - Jira: https://demo.frigade.com/hn?skill=jira - Spotify:…
Jul 2026 · its alternatives →
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Global APIs as MCP powered by AI Gateway
2025 · mcp.higress.ai · its alternatives →
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MCP360▲61Hey HN Community, I built MCP360 after spending weeks integrating APIs for an AI agent project. Each tool needed its own setup, auth, billing, and maintenance. When any APIs changed, my integrations broke. I got tired of it. MCP360 is a single gateway giving AI agents access to 100+ tools through one config block. Search engines, web scraping, SEO, e-commerce data, maps, domain tools, and more. Real example: Instead of managing Google Search, web scraping, SERP tracking, and keyword research as 4 separate subscriptions (4 bills, 4 auth systems, 4 points of failure), you connect once. Works…
2025 · mcp360.ai · its alternatives →
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OpenBerth▲84Deploy AI-generated apps to your own server with one command. Open source, sandboxed, automatic HTTPS. Built for non-engineers.
Apr 2026 · openberth.io · its alternatives →
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Bunzee 3.0▲38Idea → IA → wireframes → design → build via MCP
Aug 2026 · bunzee.ai · its alternatives →
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Learn how MCP-Agent powers Deep Research Agents with simple orchestration, external memory, and scalable workflows. Open-source on GitHub.
2025 · thealliance.ai · its alternatives →
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AppDeploy▲19Deploy real apps from ChatGPT or Claude in seconds
Apr 2026 · appdeploy.ai · its alternatives →
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Today we're releasing Nanobot an open-source framework for building AI agents on top of the Model Context Protocol (MCP). MCP servers are a great way to expose structured tools, but they’re usually just that—collections of functions. Nanobot makes it simple to wrap any MCP server with reasoning, a system prompt, and orchestration so it behaves like a real agent. Even better, Nanobot fully supports MCP-UI, so agents can pass rich interactive components (forms, dashboards, even mini-apps) directly into chat. A simple example: if you had a Blackjack MCP server with tools like deal, bet, and…
2025 · nanobot.ai · its alternatives →
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Plug-and-play AI agents via dynamic tool discovery with MCP
2025 · github.com · its alternatives →
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Most of the MCP servers that I’ve seen are tools implemented in standalone projects. To onboard more tools (especially agents and multi-agent workflows) to MCP, I’ve been thinking it’s important to allow AI engineers to continue to prototype in their existing agent frameworks and deploy with minimal conversion when ready. We created the automcp library, which you can add as a dependency to existing projects (CrewAI, LangGraph, Llama Index, OpenAI Agents SDK, Pydantic AI, mcp-agent currently supported but more coming soon). You just need to run a CLI command to create a run_mcp.py file, make…
2025 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →