AI · alternatives · 2026
24 alternatives to Iterm-Mcp – AI Terminal/REPL Control for iTerm2
Hi HN! Ever wish you could just point your AI assistant at your terminal and say 'what's wrong with this output?' That's why I built iterm-mcp. It lets MCP clients like Claude Desktop directly interact with your iTerm2 terminal - reading logs, running commands, using REPLs, and helping debug issues. Want to explore data or debug using a REPL? The AI can start the REPL, run commands, and help interpret the results. This is an MCP server that integrates with Claude Desktop, LibreChat, and other Model Context Protocol compatible clients.…
Iterm-mcp is an MCP server that connects AI assistants like Claude Desktop to iTerm2 terminals, allowing direct interaction with command-line environments. Users can point their AI assistant at terminal output to get… 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.
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Browser MCP connects AI applications to your browser so you can automate tasks using AI. Supported by Claude, Cursor, VS Code, Windsurf, and more.
2025 · browsermcp.io · its alternatives →
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Repo Prompt▲280Automate assembling the perfect context for your project
Jan 2026 · repoprompt.com · its alternatives →
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Pipedream MCP▲2912,500+ APIs and 10,000+ tools for your AI assistant
2025 · mcp.pipedream.com · its alternatives →
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Give AI agents access to real-time data across 200+ apps
May 2026 · apideck.com · its alternatives →
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mpai▲105Make existing Codex and Claude Code sessions multiplayer
Aug 2026 · godfaddaai.github.io · its alternatives →
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Context Sync▲95Persistent AI memory across Claude Desktop & Cursor IDE
Oct 2025 · github.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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Claude-Mem▲115AI agent memory, everywhere. claude-mem is open-source memory for Claude Code; cmem links it to any MCP client — Cursor, Codex, more — via one private link.
Dec 2025 · cmem.ai · its alternatives →
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Open-source Computer Use MCP for AI agents
May 2026 · github.com · its alternatives →
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Hi HN! I built a custom MCP (Model Context Protocol) server that connects Blender to LLMs like ChatGPT, Claude, and any other llm supporting tool calling and mcps, enabling the AI to understand and control 3D scenes using natural language. You can describe an entire environment like: > “Create a small village with 5 huts arranged around a central bonfire, add a river flowing on the left, place a wooden bridge across it, and scatter trees randomly.” And the system parses that, reasons about the scene, and builds it inside Blender — no manual modeling or scripting needed. What it can do: -…
2025 · blender-mcp-psi.vercel.app · its alternatives →
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Built a terminal-based chat application that interact with AI models while keeping full control of chat data. Simple but effective MCP client implementation.
2025 · github.com · its alternatives →
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- 15WM
2025 · npmjs.com · its alternatives →
- 16AL
Hi HN friends, we're Nima (nimabanai) and Craig (cbschind) from Assemble Labs (https://assemblelabs.co) building the hardware context layer for AI to help you write better firmware faster. We’ve built an MCP server that plugs into any AI tool you’re using (Cursor, Claude Code, Gemini, etc.) and brings complete hardware context (schematics, datasheets, etc.) to your existing environment (new app fatigue is real...) with accuracy and in real time. Our goal is to make writing and debugging firmware on custom hardware faster and easier. Try out the free beta release:…
2025 · its alternatives →
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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 / 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 →
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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…
Aug 2026 · salestrics.com · its alternatives →
- 19OS
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 →
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We built a Rust MCP server, which wraps the excellent headless terminal (HT)[1] to makes it available for agentic coding tools. Most agentic coding tools struggle with blocking, interactive terminal tools (all the boilerplate generator, infra CLI tools etc). This is because many existing CLI dev tools are built for humans and require interactive input. We built this so agentic coding tools (Claude Code, Cursor, Memex, etc) can “see” and “interact” with terminals exactly like humans do. In our demo video [2], you'll see it operating vim/emacs just as a human would - selecting options,…
2025 · github.com · its alternatives →
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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://www.petrostechchronicles.com/) https://github.com/Aherontas/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 →
- 22ST
Hi! After learning about MCP, I'm really excited about the future of provider-agnostic, re-usable tooling. Unfortunately I've found that while it's easy to implement an MCP server for use with tools that support it (such as Claude Desktop), it's not as easy to implement your own support (such as integrating an MCP server into your own LLM application). We implemented a thin MCP wrapper that easily integrates with Mirascope calls so that you can hook up an MCP server and client super easily to any supported LLM provider. Excited to see what people build with this!
2025 · mirascope.com · its alternatives →
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Claude Code is amazing for individuals but terrible for teams. I spent the last six months building my perfect mix of MCP servers, subagents, commands and skills. Claude Code writes 100% of the code now, but sharing this with my team? Painful. 1. Blog posts and workshops don't work (and don't scale) 2. Committing tools to N repos means N PRs. A tool changes? N more PRs. 3. Same tools, different files or folders for each AI assistant; not everyone uses Claude Code It is like 1999 all over again; FTPing files up to prod and versioning with ".bak" suffixes. So I built sx. It is your team's…
May 2026 · github.com · its alternatives →
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Got tired of every MCP example being overly verbose, or needing Docker or Mac-only scripts, so I threw together MCP-123. Point it at a tools.py, run `server.run_server(...)`, and the client auto-discovers/calls functions with OpenAI. I hope this is useful to you all.
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 →