OpsNow MCP Cost Server

Secure file operations with configurable access controls

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。

Location services, directions, and place details

The World's First AI Music MCP Beyond images and video, your agent can now generate music.

Repository management, file operations, and GitHub API integration

Stops AI from writing duplicate code. Forces Claude/Cursor/Windsurf to analyze existing code first, get approval on plans, then execute step-by-step. Engineering gates ensure no hallucinations or breaking changes.

零负担、开箱即用的模型上下文协议（MCP）服务器，用于与 MySQL 交互和自动化操作。无需 Node.js 或 Python 环境。该服务器提供对 MySQL 数据库和表进行 CRUD 操作的工具，以及只读模式以防止意外的写入操作。您还可以通过添加 --with-explain-check 标志让 MCP 服务器在执行查询前使用 EXPLAIN 语句检查查询计划。

Intelligent code versioning (snapshots) and automatic documentation generator. With CLI, REST API, and MCP support.

Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors

The TestingBot MCP server allows you to take screenshots of your website on multiple browsers and operating systems. Create CDP sessions and interface with the TestingBot service.

Read-only database access with schema inspection

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

Flag features directly from chat in your code editor, including VS Code, Cursor, Windsurf, Claude Code—any IDE with MCP support.

Give agents the power of : - purchasing things online using the link (HTTP 402 complying link) - send money to an email address or phone number (eventually creating an account for the recipient and sending him the credentials) - create payment request links (HTTP 402 compliant = payable by agents)

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

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

Manage Pi-hole with the power of AI A Pi-hole MCP (Model Control Protocol) server implemented in Java that allows AI applications to interact with and manage a Pi-hole instance through standard commands.

Automatically create a remote browser to complete your specified tasks, developed based on Browser Use + Sandbox. 自动创建一个远程浏览器，完成你指定的任务，基于Browser Use + Sandbox开发。

Fabi is a sophisticated analyst agent that independently handles data analysis tasks. Simply delegate tasks in natural language - Fabi will autonomously: - Discover and inspect schemas using RAG - Find relevant tables/columns with semantic understanding - Generate and validate SQL/Python code - Execute queries with error handling - Format and preview results

A lightweight MCP (Model Context Protocol) server built to query Postgres database. It provides comprehensive tools for database operations, table introspection, and query execution with smart permission handling.

Enables PowerShell console to function as an MCP server for Claude Desktop.

MemOS (Memory Operating System) is a memory management operating system designed for AI applications. Its goal is: to enable your AI system to have long-term memory like a human, not only remembering what users have said but also actively invoking, updating, and scheduling these memories.

为AI提供亚马逊各站点的销售市场、产品、关键词等相关数据、提供多维度综合分析报告。 { "mcpServers": { "sorftime": { "type": "streamableHttp", "url": "https://mcp.sorftime.com?key=${AUTH_KEY}" } } }

a complete and intuitive SDK for building MCP Servers, MCP Agents, and LLM integrations (OpenAI, Claude, Gemini) with minimal effort. It abstracts all the complexity of the MCP protocol, provides an intelligent agent with automatic model routing, and includes a universal client for external APIs — all through a single, simple, and powerful interface. Perfect for chatbots, enterprise automation, internal system integrations, and rapid development of MCP-based ecosystems.