发现我们为 deployment & devops 精心策划的 MCP 服务器集合。浏览 3091 个服务器,找到满足您需求的完美 MCP。
Enables AI assistants to interact with the Bunnyshell platform via natural language commands.
Demonstrates the integration and usage of the GitHub API through MCP server functionality.
Monitors server status by retrieving CPU, memory, and uptime information for local or remote servers.
Integrates AI assistants with Statsig's feature flagging and experimentation platform for comprehensive feature management.
Provides an AI-agent-driven server with a Gradio UI for penetration testing and purple team operations.
Builds and demonstrates an MCP (Model Context Protocol) server in Python, integrating weather alerts and conversational agents.
Generates a Model Context Protocol (MCP) server from an OpenAPI specification.
Enables AI clients to operate GitLab pipelines through natural language commands.
Provides programmatic access for AI assistants to manage devil hosting platform services through a secure REST API.
Streamlines the rapid setup and deployment of Modular Control Protocol (MCP) servers using the Yokai Go framework.
Enables AI assistants to interact with the Alibaba Cloud Yunxiao platform, managing various DevOps processes from code to deployment.
Automatically integrate GDPR-compliant cookie consent banners into websites with a single AI command.
Provides a production-ready Model Context Protocol server built with Spring Boot, featuring reactive architecture, JWT authentication, and Docker containerization.
Integrates Dell OpenManage Enterprise server management with AI assistants for comprehensive monitoring and administration.
Provides a robust security layer for AI agents and code, implementing comprehensive input validation, output filtering, policy enforcement, audit logging, and rate limiting.
Integrates file contents into target files using various modes such as append, prepend, replace, and insert.
Centralize and manage access to multiple Model Context Protocol (MCP) servers, optimizing LLM context and configuration.
Attaches `debugpy` to live Python processes within Docker containers for enhanced debugging, log retrieval, and breakpoint planning.
Integrate AI assistants with Directum RX by providing access to metadata, development tools, and runtime operations.
Safely executes commands on a server without relying on a shell, incorporating built-in rules to prevent destructive operations.
Scroll for more results...