deployment & devops向けの厳選されたMCPサーバーコレクションをご覧ください。2591個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Enables natural language interaction with Splunk Enterprise and Cloud for searching data and managing resources.
Enables secure terminal command execution, directory navigation, and file system operations through a standardized interface.
Enables Large Language Models to execute AWS Lambda functions as tools via Anthropic's Model Control Protocol (MCP) without code modifications.
Dynamically creates and manages Model Context Protocol (MCP) servers as child processes, enabling a flexible MCP ecosystem.
Enables AI agents to interact with the Terraform Registry API for provider, resource, and module information.
Enables interaction with JFrog Platform APIs for repository management, build tracking, and more.
Provides fine-grained control over Model Context Protocol (MCP) clients, servers, and tools.
Manages Alibaba Cloud resources through automated operations and pre-built tools.
Bridges AI assistants with MikroTik RouterOS devices for network management through natural language requests.
Enables AI assistants to interact with and manage Azure Kubernetes Service (AKS) clusters.
Integrates the Interactive Brokers Web API with the Model Context Protocol, enabling programmatic access to financial market data and trading functionalities.
Provides a flexible server and web application for deploying Hugging Face Hub API and search endpoints.
Scans code repositories locally for secrets, Infrastructure as Code misconfigurations, software composition analysis vulnerabilities, and static application security testing issues.
Integrates Grafana Loki log data with the Model Context Protocol for AI agent interaction.
Execute C# code online securely with container isolation and high-performance features.
Interact with your Render cloud resources using Large Language Models.
Facilitates the creation of Model Context Protocol (MCP) servers in TypeScript with a minimal and composable framework.
Provides persistent, cognitive memory for AI agents and edge devices, utilizing a 3-tier memory model, Hebbian learning, and a knowledge graph.
Implements a blazingly fast gRPC client and server in Zig, prioritizing maximum performance and minimal overhead.
Diagnose and resolve compatibility issues within NVIDIA GPU, CUDA, and AI software stacks across local, containerized, and CI/CD environments.
Scroll for more results...