Open-source tool to see stock price movements around earnings
Hi HN, I’ve been watching the rise of the Model Context Protocol (MCP) with interest. While it’s gaining traction in the enterprise space for internal tools and databases, I’m convinced we’re heading toward a future where consumers will interact with all sorts of remote services via MCP. The problem I hit was that while the ecosystem is growing, there wasn't a great way to use remote MCP servers from a mobile device without a monthly subscription. I wanted a high-quality native experience on my phone that I actually owned, so I built Joey. Joey is a mobile-first AI chat client that connects…
Open-source tool to see stock price movements around earnings launched on April 28, 2021 with 6 votes, #1,456 of 3,754 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 5 years on.
What it does
Joey is a chat app that lets you use hundreds of AI models with remote MCP servers. From your phone. Pick any model on OpenRouter, connect your MCP servers, and let the AI use real tools to get things done. Full MCP protocol support: tool calling, sampling, elicitation, OAuth, and session resumption. Most MCP clients today are desktop only. Joey runs natively on iOS, Android, and macOS. Built with Flutter. Source available on GitHub, or grab it from the App Store / Google Play.
In the maker’s words, at launch
Hi HN, I’ve been watching the rise of the Model Context Protocol (MCP) with interest. While it’s gaining traction in the enterprise space for internal tools and databases, I’m convinced we’re heading toward a future where consumers will interact with all sorts of remote services via MCP. The problem I hit was that…
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mcp-use2025 · manufact.com · ▲581Hi HN, Luigi here. We maintain mcp-use an open-source TypeScript framework for building MCP servers and MCP Apps: https://github.com/mcp-use/mcp-use MCP is now (finally) stateless so we rewrote mcp-use v2 from scratch for the 2026-07-28 MCP spec revision: https://blog.modelcontextprotocol.io/posts/2026-07-28/ Thanks to the rebuild: - Throughput: +27% → from 8,615 to 10,982 median ops/sec - Cold launch: 2.2x faster → from 151.6 ms to 68.1 ms - Clean install: 82% smaller → from 404.6 MiB to 74.4 MiB Benchmark with methodology here:…
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Mcp-Agent – Build effective agents with Model Context Protocol2025 · github.com · ▲80Hey 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…
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Hey HN, I’m Austin, founder of Salestrics (salestrics.com). The Problem: > Most AI agents today are trapped in chat windows. While models are smart enough to run complex multi-step workflows, giving them production access to business context (CRM, support, billing) usually means managing unsafe local API keys or hacking together fragile point-solution scripts. What We Built: We built Salestrics to serve as both an all-in-one revenue workspace (CRM, service desk, billing, docs, email) and a production-grade Model Context Protocol (MCP) execution proxy. How It Works: Unified Context: Instead…
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