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。
Generates Model Context Protocol (MCP) servers in TypeScript, Python, and Go for direct implementation or API proxying.
Extends server functionality to operate as a worker by proxying messages to an existing server.
Automates the discovery and building of Model Context Protocol (MCP) services directly from Python files.
Consolidates and serves multiple Model Context Protocol (MCP) servers through a single Stdio or HTTP interface.
Executes code within isolated container or virtual machine environments.
Provides comprehensive management and operational capabilities for PostgreSQL databases, built with an enterprise-grade architecture.
Aggregates tools from external Model Context Protocol (MCP) CLI servers and exposes them over a single HTTP/SSE endpoint.
Executes `swift test` commands within Swift package directories, providing programmatic control over testing processes.
Provides an MCP server to access The Movie Database (TMDB) for movie and TV data, including search, details, discovery, trending, and recommendations.
Provides a production-ready Model Context Protocol (MCP) server enabling seamless, multi-chain decentralized exchange operations and automated trading on AsterDEX.
Combines a sophisticated bi-temporal knowledge graph with dynamic automation tool generation to empower AI agents with persistent, time-aware memory.
Establishes a foundational AI kernel to serve as the execution, reasoning, orchestration, and governance core for domestic, enterprise, and sovereign AI systems.
Orchestrates production-safe Appwrite mutations through preview/apply workflows with deterministic planning, guarded changes, and optional live contract verification.
Exposes Prometheus Alertmanager's alert listing and silence management capabilities as composable MCP tools.
Manages and spawns bash commands asynchronously, allowing parallel execution and independent progress monitoring.
Provides direct programmatic access to Cisco IOS-XE, IOS-XR, and NX-OS devices for intelligent network automation and management via Model Context Protocol.
Execute host system toolchain commands and stream their output in real time from isolated environments.
Automates system provisioning, job management, distro discovery, and failure diagnosis within Beaker lab environments.
Consolidate multiple Model Context Protocol servers into a simplified gateway, presenting them as two unified tools.
Orchestrates AI agents with a focus on robust security, featuring granular permission models and OS-level sandboxing.
Scroll for more results...