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Secure file operations with configurable access controls

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.

A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem.

Read-only database access with schema inspection

Transform your conversations into professional visualizations instantly. MockFlow IdeaBoard lets you create flowcharts, mindmaps, cloud architecture diagrams, charts, kanban boards, and more—just by describing what you need. What you can create: • Flowcharts & process diagrams • Mindmaps for brainstorming • AWS, Azure & GCP architecture diagrams • Charts (pie, bar, line, area, scatter, radar) • Data tables & spreadsheets with formulas • Interactive maps with location markers • Kanban boards for project tracking • Customer journey maps • Calendars with events • Whiteboards with sticky notes Every visualization is instantly shareable via URL and can be edited in MockFlow's visual editor. Perfect for developers documenting systems, product managers mapping user journeys, teams planning sprints, or anyone who thinks visually. No design skills needed—just describe your idea and get a polished diagram in seconds.

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

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.

MCP server to provide Figma layout information to AI coding agents like Cursor

GoalMochi isn’t a goal tracker—it’s a brand new way to manage your aspirations. Instead of juggling endless lists, GoalMochi guides you to focus on one goal at a time, forging a deeply personal narrative that keeps you motivated and on track. Powered by conversational AI, GoalMochi provides constructive insights and creative storytelling tailored to your unique motivations, helping you see your goal through to completion with a sense of momentum and fun. Goal Mochi works because it weaves proven visualization techniques into your planning process. Research shows that using mental imagery when forming implementation intentions leads to higher rates of goal achievement.¹ By collaborating with an AI “thought partner,” you’ll generate personally meaningful stories that tap into your intrinsic motivators, priming both your mind and emotions to move forward. It’s not about ticking boxes—it’s about intuitive goal management that meets you where you are and adapts with you. At the heart of this approach lies GoalMochi’s GoalMochi Agent, which transforms the typical, often dull process of goal tracking into an engaging, fun, and deeply resonant experience. With every completed goal, your insights and progress are securely captured, so you can reflect and build on them in the future. You don’t have to abandon your usual tools—track your tasks wherever you like. GoalMochi simply turns goal-tracking into a dynamic story that evolves, energizes, and empowers you to achieve what matters most. Getting started is EASY! 1. Email story@GoalMochi.com with some details about you and the goal you want to achieve 2. Log into GoalMochi.com with the same email address (or with a Google account connected to your email) to schedule a daily goal summary to be emailed to you 3. Email story@GoalMochi.com at any time to request a new story about your goal or give feedback, tell GoalMochi you've completed your goal and want to work on a new one, and so on. Stories from GoalMochi and daily summaries include AI deep research, so you're both inspired and informed!

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基于Anduin2017 / HowToCook （程序员在家做饭指南）的mcp server，帮你推荐菜谱、规划膳食，解决“今天吃什么“的世纪难题； Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"

Description: The Neural Router for DepthOS. A polyphonic Model Context Protocol (MCP) server that orchestrates an ensemble of LLM specialists into a unified development hive mind. Implements the .depthos/touchpoint.md protocol for absolute project alignment.

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

The Datadog MCP server! A Model Context Protocol (MCP) server for interacting with the Datadog API. --- npm install -g datadog-mcp-server

An MCP (Model Context Protocol) server for searching and fetching Unsplash photos with proper attribution. Built for LLM workflows that generate content pages and need compliant, ready-to-embed credits.

AI-powered image content safety detector using NSFWJS to classify potentially inappropriate content with fallback analysis, supporting GIF/Animated WebP/APNG and JPEG/PNG/WEBP.

Search and book flights using natural language queries.

A Model Context Protocol (MCP) server for interacting with Atlassian Jira. Connect AI assistants like Claude, Cursor AI, and others directly to your Jira projects, issues, and workflows. Available Tools: jira_get - Read data from any Jira API endpoint jira_post - Create resources (issues, comments, etc.) jira_put - Replace resources jira_patch - Partially update resources jira_delete - Delete resources health_check - Verify server configuration and connectivity Common Use Cases Ask your AI assistant: "List all projects I have access to" "Show me issues assigned to me that are in progress" "Find all high priority issues in the DEV project" "Get full details about issue PROJ-456 including comments" "Add a comment to PROJ-456: 'Code review completed'" "Create a new bug in the MOBILE project"

This MCP (Model Context Protocol) server allows you to search for high-quality AI art prompts directly from Banana Prompts (https://bananaprompts.fun). Explore a curated collection of Nano Banana prompts to inspire your next creation.

token获取方式 1. 访问 https://mastergo.com 2. 进入个人设置 3. 点击安全设置选项卡 4. 找到个人访问令牌 5. 点击生成令牌token - 设计文件必须放在 **团队项目** 中（团队版权限） - 草稿箱中的文件无法通过 MCP 工具访问

Browser automation and web scraping