awesome-mcp

Sticky Note MCP Server is a minimal yet powerful implementation of the **Model Context Protocol (MCP)** built with **FastMCP** in Python. It lets agents and users create, manage, and summarize sticky notes directly through MCP tools and resources. ### ✨ Features - 📝 Create, list, update, and delete notes - 🏷️ Add tags and pinned/archived status - 🔍 Search and filter by keyword or tag - 🧠 Generate AI-based summaries or roadmaps - 🗂️ Built-in resources: - `notes://latest` - `notes://pinned` - `notes://stats` ### 🧰 Tool Endpoints - `add_note(message, tags=None, pinned=False)` - `list_notes(tags=None, pinned=None, archived=None)` - `search_notes(query)` - `update_note(note_id, message=None, pinned=None, archived=None)` - `delete_note(note_id)` - `clear_notes()` ### 🚀 Getting Started 1. Clone the repository: ```bash git clone https://github.com/aynul-abedin/sticky-note-mcp-server cd sticky-note-mcp-server

Channel management and messaging capabilities

The Sonatype MCP Server enables AI assistants to access Sonatype's comprehensive dependency intelligence directly within your development workflow. By integrating with the Model Context Protocol, your AI assistant can help you make informed decisions about dependencies, identify security risks, and maintain compliance — all without leaving your IDE. Key Features Component Version Selection - Select the best version the first time, without the side quest Security Vulnerability Scanning - Identify known vulnerabilities in your project dependencies License Compliance Checking - Ensure your dependencies meet your organization's license policies Dependency Health Analysis - Get insights into dependency quality, maintenance status, and risk factors Real-time Security Advisories - Stay informed about the latest security threats affecting your dependencies Remediation Guidance - Receive actionable recommendations to fix vulnerabilities and compliance issues

Web content fetching and conversion for efficient LLM usage

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。

Our system automatically analyzes your prompts to detect whether they're for image generation (like Midjourney), LLM interaction, or technical automation, then applies the most effective optimization techniques for that context. • **100% Local Processing** - All prompt optimization is done on your machine, ensuring complete privacy and confidentiality. • **Offline Capability** - Works without an internet connection, making it ideal for secure or air-gapped environments. • **Advanced Local Prompt Intelligence** - Sophisticated content analysis and optimization performed directly on your machine, including context-aware optimization for debugging and technical prompts. • **Cross-Platform Support** - Universal compatibility for Windows, macOS, and Linux. • **Binary Integrity Verification** - SHA256 hash validation ensures the integrity of the local server. • **Technical Parameter Preservation** - Maintains code blocks, API calls, and other technical details during optimization, including parameters like --ar and --v. • **Debugging Scenario Detection** - Context-aware optimization tailored for debugging and technical prompts.

A Model Context Protocol (MCP) server that provides fake/mock data generation capabilities using the Faker.js library. Generate realistic test data for database seeding, API testing, demo applications, and development environments.

summarize chat message

百度地图核心API现已全面兼容MCP协议，是国内首家兼容MCP协议的地图服务商。

Zero-configuration on-demand cloud browser for your agent. Navigate web pages, fill forms, and capture screenshots effortlessly with pay-as-you-go pricing at just $0.10 per hour. Exposes Chrome Devtools MCP interface.

Write notes to Flomo

Production-ready Langfuse MCP Server with 28 tools for LLM analytics, cost monitoring, and dataset management. Features secure dual-mode operation (readonly & readwrite), real-time cost analysis, trace debugging, and comprehensive usage insights. Deploy instantly with npx for seamless Claude Desktop and other LLM Client integration.

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.

MCP (Model Context Protocol) Server implementation that provides AI tools to search using YaCy web search API.

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。

Retrieving and analyzing issues from Sentry.io

Location services, directions, and place details

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

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

A Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

MCP server with dynamic tools that also implement OpenAPI spec to allow work both with Anthropic MCP agent and OpenAI GPTs

test

Connect AI tools with MailerLite to create your very own email assistant. Use it to build email, analyze campaign performance, manage subscribers, and more, all with natural language prompts.

An MCP server for Fleet device management