Alternatives to joinly-ai/joinly

🐍 🏠 🍎 - An MCP Server that autonomously debugs web applications with browser-use browser agents

🐍 - browser-use packaged as an MCP server with SSE transport. includes a dockerfile to run chromium in docker + a vnc server.

](https://glama.ai/mcp/servers/LvcidPsyche/auto-browser) 🐍 🏠 🐧 🍎 🪟 - Open-source MCP-native browser agent with human takeover via noVNC, reusable auth profiles, and approval/audit rails. Playwrig

🐍 - An MCP python server using Playwright for browser automation,more suitable for llm

MarkItDown is Microsoft's lightweight Python utility for converting files to Markdown for use with LLMs and text-analysis pipelines, and this repository includes the markitdown-mcp package that exposes the converter through MCP. It converts PDF, PowerPoint, Word, Excel, images (EXIF metadata and OCR), audio (EXIF metadata and speech transcription), HTML, text-based formats such as CSV, JSON, and XML, ZIP files, YouTube URLs, and EPUBs, preserving document structure such as headings, lists, tables, and links.

Connect and unify data across various platforms and databases with .

Official Microsoft Playwright MCP server, enabling LLMs to interact with web pages through structured accessibility snapshots

📇 🏠 - Browser automation capabilities using Puppeteer, both support local and remote browser connection.

🐍 - A high-level framework for building MCP servers in Python

The official Python SDK for the Model Context Protocol. With it, developers build MCP servers that expose tools, resources, and prompts to any MCP host, and MCP clients that connect to any MCP server, over the standard stdio, Streamable HTTP, and SSE transports; it requires Python 3.11+, and the optional CLI extra adds the mcp command-line tool (mcp dev, mcp run, mcp install). It is a development library, not a ready-made data server.

MCP server that connects Blender to LLM clients through a Blender addon and a socket-based connection. It lets an AI create, modify, and delete 3D objects, apply materials and colors, execute Blender Python code, and pull in assets from Poly Haven, Sketchfab, and Poly Pizza, with multi-angle views and renders so the model can check its own work.

📇 🏠 - Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources