Alternatives
Products that do what MCP-UI – SDK that embeds interactive UI snippets via MCP does
Hey, We've just open-sourced MCP-UI, a project that provides lean client and server SDKs to enable passing rich, interactive UI components over vanilla MCP. We believe it'll enable a future where AI interaction will be based on UI snippets for interactive experiences. MCP-UI is meant to be a playground to bootstrap the initiative. Hopefully, through experimentation, the community can find the best way to enable this new future. Under the hood, the SDK enables any MCP server to respond with an EmbeddedResource with a "ui://" URI. The client SDK allows hosts to render it using a…
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Hi HN! We’re Theodore and Louis, founders of Armature (YC P26). We reconstruct the entire session behind the MCP tool calls you receive, including what the user asked their agent to do and what the agent thought. You wrap your MCP in 3 lines of code (our SDK is available in Typescript, Python and Go) and start seeing in your dashboard: - All sessions reconstructed: it’s like reading the real conversation the user had inside Claude or ChatGPT! - A ranking of your MCP most popular use cases, built from sessions clustering - The most frequent issues your users’ agents encounter so you can fix…
Aug 2026 · armature.tech
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Best practices for Server-Driven UI (SDUI) is hard to find or is unclear. I've worked with it for a number of years and have created this repository to share my learning. I hope this gives some clarity to what SDUI can do. It's a project that will continue to grow and feel free to share/express/educate/hate/love some feedback.
2022 · github.com
- 17PA
Hi HN, I'm the author of FastMCP, the most popular Python framework for building MCP servers. I've been really excited about MCP Apps for a while. I think letting a server ship a fully interactive UI directly into the conversation is one of the most compelling additions to the protocol. I wanted to make this a first-class experience in FastMCP, but I kept getting stuck on what it actually means for a Python framework to integrate with a frontend feature. The JavaScript ecosystem has extraordinary tooling for this. I didn't want to build a worse version of it just to stay in Python. What…
Apr 2026 · prefab.prefect.io
- 18MD
I kept hitting the same wall at work every time we needed to ship an AI feature. What looked like a week of work turned into picking a model, setting up a vector DB, managing embeddings, wiring up chat history, handling retries — none of it was the actual feature. So I built Modular. You register a function that returns your app's data, then call ai.run() for one-shot features or ai.chat() for stateful conversation. Everything else — context management, embeddings, session history, model routing, retries — is handled. MCP-native from day one. Works with Claude, GPT-4o, and Gemini. Still…
Apr 2026 · modular.run
- 19MM
Hey HN! I’m Gui from deco (decocms.com). We’ve been using this tool internally as the foundation for a few customer AI platforms, and today we’re open-sourcing it as MCP Mesh. MCP is quickly becoming the standard for agentic systems, but… once you go past a couple servers it turns into the same problems for every team: - M×N config sprawl (every client wired to every server, each with its own JSON + ports + retries) - Token + tool bloat (dumping tool definitions into every prompt doesn’t scale) - Credentials + blast radius (tokens scattered across clients, hard to audit, hard to revoke) - No…
Dec 2025 · github.com
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Hello HN, we're Andrew and Stephen from Keyboard (https://www.keyboard.dev/). After building AI tools for the past year, we recently made a YouTube video on building MCP servers and realized MCP is a total game-changer. It essentially lets AI do anything by connecting to your apps. But the deeper we dove, the clearer it became that security and privacy were complete afterthoughts. Coming from backgrounds at Okta and Stripe, this made us pretty uncomfortable. We kept seeing the same pattern: every app needs its own MCP server, each storing sensitive tokens, with minimal…
2025 · github.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
- 22MC
Hey HN, OpenAI released the Agents SDK yesterday, which is great because of its simplicity. I just added MCP support for it, which is currently available as a fork here: https://github.com/lastmile-ai/openai-agents-mcp (and on pypi as the openai-agents-mcp package). You can specify the names of MCP servers to give an Agent access to by setting its `mcp_servers` property. The Agent will then automatically aggregate tools from the MCP servers, as well as any `tools` specified, and create a single extended list of tools. This means you can seamlessly use MCP servers, local…
2025
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I built a zero-configuration tool for automatically exposing FastAPI endpoints as Model Context Protocol (MCP) tools, open to collabs and contributions!
2025 · github.com
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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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