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AI · alternatives · 2026

24 alternatives to An MCP server that turns async-work practices into tools

More than a decade ago, I adopted the self-imposed rule, if I answer a question more than once, the third time I need to be able to answer with a URL. Today, I published one very large URL - a book distilling what I learned from helping people work remotely at GitHub, and I wanted to rethink my rule for the age of AI. What if, instead of a URL, I could create an interactive experience that could tailor the guidance to your particular situation? What I ended up building was an Open and Async Advisor MCP server. To install (in claude or any other AI): > claude mcp add open-async -- npx -y…

An Open and Async Advisor MCP server helps remote teams adopt asynchronous work practices. It integrates with AI assistants like Claude to provide tailored guidance on async workflows, including tools for drafting… 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 1 we have checked on their own sites, 1 of them free or with a free tier.

  1. 1

    We wanted to build a course for new Mastra devs to get started quickly. However, we knew videos would go out of date and be more difficult to maintain. We decided to launch our "course" as an MCP server. This way your coding agent actually teaches the course content to you and can help you write the code. We think this is a really interactive way to learn. Using an editor with MCP support (such as Cursor, Windsurf, or VSCode), your code agent will call the appropriate MCP tools which will return context for the agent. This context tries to instruct the agent that it should be teaching you…

    Aug 2026 · mastra.ai · its alternatives →

  2. 2
    mcp-usefree tier, from $25/mo▲581

    Hi 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:…

    2025 · manufact.com · its alternatives →

  3. 3

    Hi, I’m Mikkel and I’m building Async, an open-sourced developer tool that combines AI coding with task management and code review. What Async does: - Automatically researches coding tasks, asks clarifying questions, then executes code changes in the cloud - Breaks work into reviewable subtasks with stack diffs for easier code review - Handles the full workflow from issue to merged PR without leaving the app Demo here: https://youtu.be/98k42b8GF4s?si=Azf3FIWAbpsXxk3_ I’ve been working as a developer for over a decade now. I’ve tried all sorts of AI tools out there including…

    2025 · github.com · its alternatives →

  4. 4
    Yavy▲110

    Turn any website into an MCP server for AI

    Feb 2026 · yavy.dev · its alternatives →

  5. 5

    Allow AI Agents to help you with Figma designs!

    Jan 2026 · exdst.com · its alternatives →

  6. 6

    Turn any API into an MCP server for AI agents

    Jun 2026 · apitomcp.ai · its alternatives →

  7. 7

    Hi HN, We are the devs behind VibeShift. We have been building this MCP server to put AI coding assistants in an automatic feedback loop. They code, test, debug, fix everything until we have a fully working, secure code. It tests like a real user, copies network/console and logical errors to give them back to cursor. (1 min demo - https://www.youtube.com/watch?v=bN_RgQGa8B0) We felt this was the natural next step for AI coding assistants. And with new asynchronous assistants like codex, having a plug & play tester makes sure you don't have to spend time debugging and…

    2025 · github.com · its alternatives →

  8. 8
    AutoMCP▲150

    Easily deploy your existing AI agent projects as MCP servers

    2025 · its alternatives →

  9. 9

    Your free toolkit to rethink offsites for distributed teams

    2021 · forestkey.com · its alternatives →

  10. 10
    N8N2MCP▲137

    Turn your N8N workflow to MCP servers with just 3 clicks

    2025 · github.com · its alternatives →

  11. 11

    Hey HN! I built Browser AI after getting frustrated with the official Playwright MCP server in Claude Code. If you've used it, you know the pain: - 20+ separate tools that Claude has to juggle (click, fill, navigate, wait_for_selector, etc.) - Context window explosions from verbose screenshot data and DOM snapshots - Constant tool selection errors where Claude picks the wrong tool or forgets parameters Browser AI wraps Playwright MCP with a single natural language interface. Instead of Claude managing dozens of tools, you get one: browser_ai.execute. Just tell it what you want in plain…

    Nov 2025 · aibrowser.surf · its alternatives →

  12. 12WM
  13. 13
    Kaiku▲79

    The task tracker your AI agents already know how to use

    28d ago · kaiku.tech · its alternatives →

  14. 14OS

    Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface? We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly. Here’s what it unlocks: - Web Search & Scraping: Fetch live information and extract structured data from web pages. - OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten…

    2025 · its alternatives →

  15. 15

    This is an open‑source Model Context Protocol (MCP) server that gives any LLM a sense of the passage of time. Most MCP demos wire LLMs to external data stores. That’s useful, but MCP is also a chance to give models perception — extra senses beyond the prompt text. Six functions (`current_datetime`, `time_difference`, `timestamp_context`, etc.) give Claude&#x2F;GPT real temporal awareness: It can spot pauses, reason about rhythms, and even label a chat’s “three‑act structure”. Runs locally in <60 s (Python) or via a hosted demo. If time works, what else could we surface? - Location &#x2F;…

    2025 · github.com · its alternatives →

  16. 16

    Persistent AI memory across Claude Desktop & Cursor IDE

    Oct 2025 · github.com · its alternatives →

  17. 17

    Hey HN, I spent my xmas break building an agent framework called mcp-agent [1](https:&#x2F;&#x2F;github.com&#x2F;lastmile-ai&#x2F;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 →

  18. 18

    Admittedly I work on this, but I anthropic's decision to finally embrace http, auth (at least a little), and other RFCs that are coming out is just great. With OpenAI behind it too, this ecosystem will be built around projects like this. Not saying it's MCP or not, but it'll be one of them

    2025 · twitter.com · its alternatives →

  19. 19

    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 →

  20. 20

    We built a reference MCP server that lets your editor&#x2F;agent learn a codebase directly from source (signatures, types, AST, comments). Docs are optional. The reference impl runs on our open-source project’s codebase. Why we built it Docs are important, but they add another abstraction layer between your code and your users. Keeping them at the right quality is hard (especially at a startup), and LLM-generated docs are often mediocre until you invest real polish. Exposing code to the model in a structured way keeps answers grounded and current, and it’s always available. You can even…

    2025 · github.com · its alternatives →

  21. 21

    Hi HN! Excited to share our MCP Server at Hyperbrowser - something we’ve been working on for a few days. We think it’s a pretty neat way to connect LLMs and IDEs like Cursor &#x2F; Windsurf to the internet. Our MCP server exposes seven tools for data collection and browsing: 1. `scrape_webpage` - Extract formatted (markdown, screenshot etc) content from any webpage 2. `crawl_webpages` - Navigate through multiple linked pages and extract LLM-friendly formatted content 3. `extract_structured_data` - Convert messy HTML into structured JSON 4. `search_with_bing` - Query the web and get results…

    2025 · github.com · its alternatives →

  22. 22

    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 →

  23. 23

    Hey all! I recently gave a workshop talk at PyCon Greece 2025 about building production-ready agent systems. To check the workshop, I put together a demo repo: (I will add the slides too soon in my blog: https:&#x2F;&#x2F;www.petrostechchronicles.com&#x2F;) https:&#x2F;&#x2F;github.com&#x2F;Aherontas&#x2F;Pycon_Greece_2025_Presentation_... The idea was to show how multiple AI agents can collaborate using FastAPI + Pydantic-AI, with protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) for safe communication and orchestration. Features: - Multiple agents running in containers -…

    2025 · github.com · its alternatives →

  24. 24

    Async transport layers for MCP. Contribute to bh-rat/asyncmcp development by creating an account on GitHub.

    2025 · github.com · its alternatives →

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