Remote MCP Server on Cloudflare

A comprehensive Model Context Protocol (MCP) server for BigCommerce REST API integration. This server provides AI assistants with the ability to interact with BigCommerce stores through three powerful tools: - Products Management: Get all products with advanced filtering - Customer Management: Retrieve and filter customers with comprehensive search options - Order Management: Access orders with customer-product relationship capabilities

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

The official local MCP server for Kintone.

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

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

Image-generation,include qwen-image,flux,flux-krea

A quiz generator server based on Model Context Protocol (MCP) that generates Markdown questions according to requirements and converts them into HTML and Word format quiz files.

BitcoinJS MCP Server is a Model Context Protocol (MCP) server that provides Bitcoin development tools using the bitcoinjs-lib library. This server enables Claude Code and other MCP clients to perform Bitcoin-related operations like address generation, transaction creation, and script compilation.

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

Retrieving and analyzing issues from Sentry.io

A Python SDK for downloading patents from Google Patents with Model Context Protocol (MCP) support.

Docker MCP Server A comprehensive Model Context Protocol (MCP) server that provides advanced Docker operations through a unified interface. This server combines 16 powerful Docker MCP tools with 25+ convenient CLI aliases to create a complete Docker workflow solution for developers, DevOps engineers, and system administrators. 🌟 What Makes Docker MCP Server Special Docker MCP Server is not just another Docker wrapper - it's a complete Docker workflow enhancement system designed to make Docker operations more intuitive, secure, and efficient: 🎯 Unified Interface MCP Protocol Integration: Seamlessly works with MCP-compatible tools and IDEs CLI Convenience: 25+ carefully crafted aliases for common Docker workflows Consistent API: All operations follow the same patterns and conventions Cross-Platform: Full support for Linux, macOS, and Windows environments 🔒 Security-First Design Docker-Managed Security: All password operations handled by Docker daemon for maximum security Zero Password Exposure: Passwords never appear in command history, process lists, or arguments Token Authentication Support: Full support for Personal Access Tokens and service accounts Registry Flexibility: Secure login to Docker Hub, AWS ECR, Azure ACR, Google GCR, and custom registries CI/CD Security: Secure stdin password input for automated deployment pipelines Permission Management: Proper handling of Docker daemon permissions and credential storage 🚀 Developer Experience Comprehensive Help System: Every command includes detailed documentation with --help Smart Defaults: Sensible default configurations for common use cases Error Prevention: Built-in safety checks and confirmation prompts for destructive operations Rich Output: Formatted, colored output with clear status indicators 📊 Advanced Operations Complete Container Lifecycle: From build to publish with comprehensive registry support Multi-Container Management: Docker Compose integration with service orchestration Registry Publishing: Advanced image publishing with multi-platform support and automated workflows Network & Volume Management: Advanced networking and storage operations System Maintenance: Intelligent cleanup tools with multiple safety levels Development Workflows: Specialized commands for development environments

BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.

MCP for xiaohongshu.com， 小红书MCP。 # 功能 - 登录 - 发布 - 搜索 - 推荐列表

Repository management, file operations, and GitHub API integration

This Snowflake MCP server provides tooling for Snowflake Cortex AI features, bringing these capabilities to the MCP ecosystem. When connected to an MCP Client (e.g. Claude for Desktop, fast-agent, Agentic Orchestration Framework), users can leverage these Cortex AI features. The MCP server currently supports the below Cortex AI capabilities: Cortex Search: Query unstructured data in Snowflake as commonly used in Retrieval Augmented Generation (RAG) applications. Cortex Analyst: Query structured data in Snowflake via rich semantic modeling. Cortex Agent: Agentic orchestrator across structured and unstructured data retrieval

Run web automation through an MCP. Connect AI agents to real-world tools and browser automation through our powerful MCP server.

NewsDigest, Just news, Nothing else. Stay informed with curated news briefs and trending stories. Get the latest news without the noise.

AI image generation using various models

The QuantConnect MCP Server is a bridge for AIs (such as Claude and OpenAI o3 Pro) to interact with our cloud platform. When equipped with our MCP, the AI can perform tasks on your behalf through our API such as updating projects, writing strategies, backtesting, and deploying strategies to production live-trading. To get your user Id and API token, see Request API Token (https://www.quantconnect.com/docs/v2/cloud-platform/community/profile#09-Request-API-Token). Our MCP server is multi-platform capable. The options are `linux/amd64` for Intel/AMD chips and `linux/arm64` for ARM chips (for example, Apple's M-series chips).

The Universal Hub for AI Agents aX Platform lets you bring any agent — regardless of framework — into a shared, secure workspace. Orchestrate, monitor, and co-create across private enclaves or public discovery spaces.