MCP Servers
68,255 MCP servers for AI apps. Filter by category, badge and popularity.
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MCP Agents is an AI-powered browser automation tool that lets you interact with websites using natural language. Built with Streamlit, OpenAI, and Puppeteer via the Model Context Protocol (MCP), it supports multi-step navigation, interaction, and content extraction—all with simpl
A production-ready Model Context Protocol (MCP) server for AI-assisted image editing. Give Cursor, Claude Desktop, Windsurf, VS Code MCP, and other MCP hosts 16 tools to remove backgrounds, blur or grayscale backgrounds, change colors, convert formats (PNG/JPEG/WebP/…), upscale
Bianzheng Cloud is an AI-based solution for intelligent TCM diagnosis and pattern differentiation. Combining artificial neural networks with an expert knowledge graph, it builds a TCM diagnostic reasoning model from primary symptoms and integrates the four examinations. It simulates the full process of TCM diagnosis and treatment in real clinical settings, reproduces the diagnostic reasoning of TCM experts, and offers treatment combinations including traditional formulas, Chinese patent medicines, acupuncture, acupressure, auricular acupuncture, scalp acupuncture, hydroacupuncture, electroacupuncture, gua sha, and dietary therapy. The system also uniquely establishes a dual pattern-differentiation framework for the six channels in Shang Han Lun, using multidimensional, multilevel reasoning to address the complexity of six-channel diagnosis
MCP Hub tool allows searching MCP tool lists by keyword via `search_mcp`, and viewing detailed descriptions (such as features and installation steps) via `get_mcp_detail`. Users can quickly locate required tools and obtain deployment guides, such as Python's `pip install` or Docker integration methods, improving development efficiency. Data is based on the MCP Hub database, supporting precise filtering and metadata retrieval
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
