mcp-server-llmling

A comprehensive Model Context Protocol (MCP) server that provides unified access to Deutsche Bahn (DB) and German mobility APIs. Built with Python, FastAPI, and FastMCP for seamless integration with Claude Desktop and other MCP clients. The server is ready for local and cloud deployment. A running MCP server is available to connect by adding the URL to your MCP Client: https://db-mcp.datamonkey.tech/mcp.

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

An omnimodal AIGC framework that seamlessly converts ComfyUI workflows into MCP tools with zero code, enabling full-modal support for Text, Image, Sound, and Video generation with Chainlit-based web interface.

NetForensicMCP is a Model Context Protocol (MCP) server designed to empower Large Language Models (LLMs) with advanced offline network traffic analysis and threat intelligence capabilities. Built on top of Wireshark's tshark, NetForensicMCP provides comprehensive PCAP analysis tools for cybersecurity professionals, threat hunters, and network forensics investigators.

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

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

A Model Context Protocol (MCP) server for SearXNG search engine with multi-query parallel search support

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.

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).

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.

Advanced MCP Server for terminal management with GitHub Copilot integration Transform your development experience with intelligent, non-blocking terminals perfectly integrated with GitHub Copilot and VS Code.

A comprehensive Model Context Protocol (MCP) server that provides unified access to Deutsche Bahn (DB) and German mobility APIs. Built with Python, FastAPI, and FastMCP for seamless integration with Claude Desktop and other MCP clients.

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Web and local search using Brave's Search API

高德地图官方 MCP Server

A Java-based Model Context Protocol (MCP) server that provides deep introspection, monitoring, debugging, and REPL capabilities for Java applications. Descartes enables AI assistants to interact with running Java processes through a comprehensive set of tools and resources. Kind of does for the Java backend what Playwright does for the frontend. Easy to add as a maven dependency to your Java application.

基于Base网络的区块链支付MCP（Model Context Protocol）服务器，提供完整的区块链支付功能。 🌟 功能特性 多网络支持: 支持多个测试网和主网，包括Base Sepolia、Base Mainnet、Ethereum Sepolia、Ethereum Mainnet等 代币支持: ETH、USDC、USDT、DAI、WETH等主流代币 余额查询: 查询任意地址的ETH和代币余额 安全转账: 支持ETH和ERC20代币转账 交易追踪: 实时查询交易状态和确认数 Gas估算: 智能估算交易Gas费用 钱包管理: 创建新钱包、验证地址格式 安全限制: 内置交易金额限制和安全检查

Master MCP Server Master MCP Server aggregates multiple MCP servers behind a single, secure endpoint. It provides configuration-driven module loading, unified capability discovery, request routing with resilience, and first-class OAuth flows for multi-backend authentication. # Highlights - Aggregates multiple MCP servers with tool/resource discovery and namespacing - OAuth support: master token pass-through, delegated provider flows, proxy refresh - Config-driven setup with JSON/YAML, schema validation, and secret resolution - Resilient routing: load-balancing, retries with backoff/jitter, circuit-breakers - Cross-platform: Node.js server and Cloudflare Workers runtime - Production-ready deployment: Docker, Cloudflare Workers, Koyeb - Testing strategy and CI-ready structure

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

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 fetches article data from URLs using newspaper3k.

A MCP server providing real-time stock market data and financial analysis through Yahoo Finance API. Built with FastAPI and designed for AI applications requiring comprehensive financial data access

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.

AgentBay is a cloud infrastructure designed for AI agents, providing enterprises, developers, and AI vendors with a one-click configuration tool and execution environment for AI Agent tasks. It leverages Alibaba Cloud's Wuying technology to offer secure and efficient computing experiences.