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Ambix is your product team's shared strategic memory, served as a remote MCP server. It connects Claude (and any MCP client) to your Ambix workspace — strategy, initiatives, objectives, opportunities, journey stages, insights and decisions — as structured data your AI tools can reason over, so nothing is lost between sessions or when someone leaves. Work happens in your AI tools; the context lives in Ambix. Hosted at https://mcp.ambix.ai (Streamable HTTP, served at the root, OAuth via Auth0). Listed on the official MCP Registry as ai.ambix/ambix. Learn more at https://ambix.ai.

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

Verified, tier-0 regulatory data for your AI: connect Claude, ChatGPT or Cursor to 850+ official sources across 50+ jurisdictions.

IBAN validation, extraction, format specs, and BIC/SWIFT lookup tools for AI assistants, backed by ibanchecker.cash. Covers 90 countries; no IBAN data is stored.

Open-source MCP server for Google Ads and Meta Ads. Create campaigns, pull reports, and manage keywords & targeting in plain English from Claude, Cursor, or Codex.

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

Persistent memory API for AI agents. Store, semantically retrieve, and forget memories across sessions. Agents self-register via POST /signup — no human needed. Supports MCP natively, auth.md discovery, semantic search with vector embeddings, TTL, namespaces, and batch operations. Free during beta. Built for the agentic web.

Read-only catalog of the @blueprint-modular/core design system (104 components). Four tools — list_components, search_components, get_component, suggest_composition. Public MCP server, no auth, Streamable HTTP at https://mcp.blueprint-modular.com/api/mcp. Apache-2.0.

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

Browser automation and web scraping

Manage and debug your webhooks from your AI assistant

MCP Advisor & Installation - Use the right MCP server for your needs

基于七牛云产品构建的 Model Context Protocol (MCP) Server，支持用户在 AI 大模型客户端的上下文中通过该 MCP Server 来访问七牛云存储资源、利用 Dora 服务进行图片操作等。 如果有什么需求欢迎在下方评论，您也可以在 github 仓库中提 issue。

Repository management, file operations, and GitHub API integration

Location services, directions, and place details

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

Read and manage Gainium DCA/Combo/Grid bots, deals, balances, backtests, the crypto screener, and curated strategy presets via MCP.

AI image generation using various models

Create a remote sandbox that can execute code/run commands/upload and download files. 创建远程沙盒，可以执行代码/运行命令/上传下载文件

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

Secure file operations with configurable access controls

A Serper MCP Server

Self-learning memory for AI tools. Remembers user preferences and context across Claude, Cursor, and Codex — with multi-parameter forgetting and cross-tool identity.