发现我们为 deployment & devops 精心策划的 MCP 服务器集合。浏览 3455 个服务器,找到满足您需求的完美 MCP。
Enables AI agents and assistants to interact with services by setting up an MCP server using Cloudflare Workers.
Establishes a trustworthy MCP server.
Enables Claude Desktop to execute bash commands and scripts within any WSL2 Linux distribution on Windows.
Deploys an authentication-less Model Context Protocol (MCP) server on Cloudflare Workers.
Provides a foundational implementation of the Model Context Protocol using the NestJS framework.
Delivers focused system diagnostic tools via a modular FastMCP server for efficient troubleshooting and environment analysis.
Provides a minimal FastAPI service exposing discoverable tools with execution capabilities for integration in local, Docker, or VPS environments.
Provides secure, auditable remote access to a system shell for executing commands and streaming output.
Manages PostgreSQL clusters via the CloudNativePG operator within Kubernetes environments.
Provides a comprehensive Node.js server solution for Roblox development workflows.
Provides real-time weather information for any city worldwide using the Open-Meteo API.
Performs initial candidate screening by analyzing hybrid chat and video stream inputs to assess skills, confidence, and sentiment against job descriptions.
Segments a file into multiple distinct parts based on user-defined line numbers.
Streamline homelab server and Docker management and monitoring through a single binary CLI or AI-powered commands.
Provides a secure environment for executing predefined shell commands within a Model Context Protocol (MCP) server.
Facilitates fixture-first NETCONF operations for read-oriented network automation workflows, focusing on safe local development and TNSR integration.
Optimize web performance by analyzing, generating, and simulating caching strategies for HTTP, CDN, and browser layers.
Wraps the opnsense-py client library to provide a Managed Component Protocol server for OPNsense firewalls.
Aggregates diverse MCP servers and local execution/HTTP tools, exposing them through a single unified HTTP(S) endpoint for clients.
Generate optimized Dockerfiles and docker-compose.yml files from project descriptions using AI.
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