发现我们为 deployment & devops 精心策划的 MCP 服务器集合。浏览 2223 个服务器,找到满足您需求的完美 MCP。
Facilitates the development and testing of Nextflow itself through a dedicated MCP server.
Manages comprehensive file system operations, offering structured file management, watching, search, and archiving capabilities.
Provides comprehensive tools and a web interface for monitoring and defining performance bottlenecks in Logstash instances.
Executes code within isolated container or virtual machine environments.
Provides a serverless weather data service using the Model Context Protocol for consumption by intelligent agents.
Transforms any Python library or code into a robust, scalable, and production-ready API with automatic service discovery.
Manages Proxmox virtualization and container platforms through an enhanced Model Context Protocol server and comprehensive OpenAPI endpoints.
Enables interaction with the Bitbucket Server API for pull request management through the Model Context Protocol.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers with OAuth login.
Facilitates remote server management by executing commands via SSH using the Model Context Protocol (MCP).
Provides a security-hardened and scalable foundational server framework for Model Context Protocol applications.
Enables real-time debugging of production Node.js applications by extracting live variable values directly from the runtime.
Integrates the Exely Distribution API with a Large Language Model (LLM) to enable hotel booking interactions through a Telegram bot.
Integrates the complete Porkbun domain and DNS management API, enabling AI assistants to programmatically control domains and DNS records.
Exposes team information through a Model Context Protocol (MCP) server utilizing HTTP streaming transport.
Enables execution of various tasks on a server through a modular tool interface secured with path restrictions.
Analyzes and automates Zabbix events using AI-powered Model Context Protocol.
Enables AI agents to execute server-side JavaScript and perform operations directly on ServiceNow instances, significantly reducing context bloat.
Builds a minimal CRUD API with FastAPI and exposes endpoints as MCP tools.
Manages and monitors server processes for AI agents, enforcing strict security through executable allowlists and resource controls.
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