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Ksenia Se

Kseniase
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replied to their post 4 days ago
13 Outstanding MCP Servers MCP is redefining how AI assistants connect to the world of data and tools, so no wonder MCP servers are in high demand now. That’s why we’ve curated 13 cool MCP servers to upgrade your workflow: 1. Hugging Face Official MCP Server -> https://github.com/evalstate/hf-mcp-server Provides an access and interaction with Hugging Face models, datasets, and Gradio Spaces for dynamic tool integration and configuration across environments. 2. Browser MCP -> https://browsermcp.io/ An MCP server +Chrome extension. It allows to automate your browser with AI apps like VS Code, Claude, Cursor, and Windsurf. 3. Bright Data MCP -> https://github.com/brightdata/brightdata-mcp This one is for working with data in real-time: searching the web, navigating websites, taking action and retrieving data. 4. JSON MCP -> https://github.com/VadimNastoyashchy/json-mcp Interact with JSON files: split, merge, find specific data, and validate content within them. 5. Octagon Deep Research MCP -> https://github.com/OctagonAI/octagon-deep-research-mcp Allows for deep research via AI agents, integrating seamlessly with MCP clients like Claude Desktop and Cursor for powerful, unlimited research capabilities. 6. VLM Run MCP Server -> https://docs.vlm.run/mcp/introduction Provides an agent the ability to see, understand and process visual content. Read further in the comments 👇 P.S.: Our most read explanation of MCP on Hugging Face https://huggingface.co/blog/Kseniase/mcp Our first list of 13 awesome MCP servers: https://huggingface.co/posts/Kseniase/204958200717570 If you like it, also subscribe to the Turing Post: https://www.turingpost.com/subscribe
posted an update 4 days ago
13 Outstanding MCP Servers MCP is redefining how AI assistants connect to the world of data and tools, so no wonder MCP servers are in high demand now. That’s why we’ve curated 13 cool MCP servers to upgrade your workflow: 1. Hugging Face Official MCP Server -> https://github.com/evalstate/hf-mcp-server Provides an access and interaction with Hugging Face models, datasets, and Gradio Spaces for dynamic tool integration and configuration across environments. 2. Browser MCP -> https://browsermcp.io/ An MCP server +Chrome extension. It allows to automate your browser with AI apps like VS Code, Claude, Cursor, and Windsurf. 3. Bright Data MCP -> https://github.com/brightdata/brightdata-mcp This one is for working with data in real-time: searching the web, navigating websites, taking action and retrieving data. 4. JSON MCP -> https://github.com/VadimNastoyashchy/json-mcp Interact with JSON files: split, merge, find specific data, and validate content within them. 5. Octagon Deep Research MCP -> https://github.com/OctagonAI/octagon-deep-research-mcp Allows for deep research via AI agents, integrating seamlessly with MCP clients like Claude Desktop and Cursor for powerful, unlimited research capabilities. 6. VLM Run MCP Server -> https://docs.vlm.run/mcp/introduction Provides an agent the ability to see, understand and process visual content. Read further in the comments 👇 P.S.: Our most read explanation of MCP on Hugging Face https://huggingface.co/blog/Kseniase/mcp Our first list of 13 awesome MCP servers: https://huggingface.co/posts/Kseniase/204958200717570 If you like it, also subscribe to the Turing Post: https://www.turingpost.com/subscribe
replied to their post 11 days ago
10 Open-source Deep Research assistants Deep Research agents are quickly becoming our daily co-workers — built for complex investigations, not just chat. With modular architecture, advanced tool use and real web access, they go far beyond typical AI. While big-name agents get the spotlight, we want to highlight some powerful recent open-source alternatives: 1. DeerFlow -> https://github.com/bytedance/deer-flow A modular multi-agent system combining LMs and tools for automated research and code analysis. It links a coordinator, planner, team of specialized agent, and reporter, and converts reports to speech via Text-to-Speech (TTS) 2. Alita -> https://github.com/CharlesQ9/Alita Uses a single problem-solving module for scalable reasoning through simplicity. It self-evolves by generating and reusing Model Context Protocols (MCPs) from open-source tools to build external capabilities for diverse tasks 3. WebThinker -> https://github.com/RUC-NLPIR/WebThinker Lets reasoning models autonomously search the web and navigate pages. Deep Web Explorer allows interaction with links and follow-up searches. Through a Think-Search-and-Draft process models generate and refine reports in real time. RL training with preference pairs improves the workflow 4. SimpleDeepSearcher -> https://github.com/RUCAIBox/SimpleDeepSearcher A lightweight framework showing that supervised fine-tuning is a real alternative to complex RL, using simulated web interactions and multi-criteria curation to generate high-quality training data 5. AgenticSeek -> https://github.com/Fosowl/agenticSeek A private, on-device assistant that picks the best agent expert for browsing, coding, or planning—no cloud needed. Includes voice input via speech-to-text 6. Suna -> https://github.com/kortix-ai/suna Offers web browsing, file and doc handling, CLI execution, site deployment, and API/service integration—all in one assistant Subscribe to the Turing Post:https://www.turingpost.com/subscribe Read further ⬇️
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