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Enables AI assistants to remember and retrieve user information across conversations using vector search technology. Built on Cloudflare infrastructure with isolated user namespaces for secure, persistent memory storage.

A unified MCP server for Tavily and Brave Search APIs that features automatic API key rotation and zero-cost hosting on Cloudflare Workers. It provides tools for web searching, data extraction, and research with secure, encrypted key management.

全面解析Mcpo DockerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Mcpo Docker能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

全面解析Mcpo DockerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Mcpo Docker能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Slim OPNsense MCP Server — 62 tools for managing firewall infrastructure via the OPNsense REST API. Covers DNS/Unbound, Firewall rules, Diagnostics, Interfaces, DHCP (ISC + Kea), System/Backups, ACME/Let's Encrypt, and Firmware. No SSH, no shell, API-only with 3 runtime dependencies. AGPL-3.0 + Commercial dual-licensed.

MCP Palette

全面解析MCP PaletteMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，MCP Palette能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

A reusable runtime infrastructure for hosting Model Context Protocol servers and tool registries over HTTP. It provides built-in validation, authentication, and logging to simplify the deployment of AI-powered workflows.

Enables Claude to intelligently query and analyze your resume using RAG technology. Supports skill matching against job requirements and answering questions about your professional background from locally stored resume files.

Provides AI assistants with direct access to Salesforce Revenue Cloud data and operations, enabling retrieval of products, price books, quotes, orders, and execution of custom SOQL queries through natural language.

MCP Server App

MCP Server Application

mcp-server-docker

Enables comprehensive Kubernetes cluster management through kubectl operations, Helm chart deployments, pod troubleshooting, and node management. Supports both read-only and full cluster administration capabilities with built-in safety features.

MCP Servers 1ea4b692

Docker 기반 MCP 서버

MCP Servers 4d297535

mcp servers is a project by IBM aimed at providing a set of server solutions for cloud environments. \ \ how to use mcp servers? \ To use mcp servers, clone the repository from GitHub and follow the setup instructions provided in the documentation. \ \ key features of mcp servers? \ Designed for cloud deployment \ Supports multiple server configurations \ Built with scalability in mind \ \ use cases of mcp servers? \ 1. Deploying applications in a cloud environment \ 2. Managing server resources efficiently \ 3. Supporting microservices architecture \ \ FAQ from mcp servers? \ What is the license for mcp servers? \ \u003e mcp servers is licensed under the Apache 2.0 license. \ \ Is mcp servers suitable for production use? \ \u003e Yes, mcp servers is designed for production environments, but thorough testing is recommended before deployment. \ \ Where can I find the documentation? \ \u003e Documentation can be found in the GitHub repository.

Mcpservers Awesome MCP Servers

全面解析Mcpservers Awesome MCP ServersMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Mcpservers Awesome MCP Servers能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

A Model Context Protocol server that enables managing Terrakube infrastructure through natural language, handling workspace management, variables, modules, and organization operations.

A DevOps-friendly template for building MCP servers with CI/CD, Docker support, and automatic documentation generation using fastmcp and FastAPI.

MCP server for system monitoring, enabling users to ask about CPU, memory, disk, network, and processes on their system.

An MCP server for Infrastructure as Code that enables AI assistants to manage cloud resources through Ansible and Terraform operations. It supports executing playbooks, managing AWS services, and running Terraform commands with optional LocalStack integration.

Enables real-time monitoring of system resources including CPU, GPU (NVIDIA, Apple Silicon, AMD/Intel), memory, disk, network, and processes across Windows, macOS, and Linux platforms through natural language queries.