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。2221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 interaction with GrowthBook directly from LLM clients for managing feature flags and experiments.
Implement a comprehensive, scalable machine learning inference architecture on Amazon EKS for deploying Large Language Models (LLMs) with agentic AI capabilities, including Retrieval Augmented Generation (RAG) and intelligent document processing.
Provides an official Model Context Protocol (MCP) server for LaunchDarkly.
Scales large language models to thousands of servers through automatic routing.
Enables AI assistants to securely interact with Databricks workspaces by hosting Model Context Protocol (MCP) prompts and tools on Databricks Apps.
Manage feature flags, variables, and targeting rules directly from the command line, and integrate AI coding assistants for intelligent feature flag management.
Simplifies the installation and management of MCP servers via the command line.
Connect Lenses, a DataOps platform for Apache Kafka, to various client applications via the Model Context Protocol.
Automates React Native project upgrades by generating detailed diffs and providing version management.
Enables remote execution of Linux commands using the Model Context Protocol.
Exposes Ansible utilities and workflows through an Advanced Model Context Protocol (MCP) server.
Manage Kubernetes resources through natural language using large language models.
Enables interaction with GitLab accounts to manage repositories, merge requests, CI/CD, and project settings.
Enables agents and LLMs to view, rent, and manage GPU instances on the Hyperbolic cloud.
Enables AI assistants to interact with and manage OpenStack cloud services through the Model Context Protocol.
Exposes Terragrunt documentation and GitHub issue information to AI agents and other Model Context Protocol (MCP) clients.
Simplifies the creation, inspection, validation, and integration of HTTP clients from OpenAPI specifications.
Facilitates AI-driven diagnostics and insights for Rollbar error tracking and monitoring.
Facilitates interaction with Azure DevOps services through AI assistants by providing entity-based tools.
Enables AI assistants to remotely control Commodore 64 Ultimate and other Ultimate series devices via their powerful REST API.
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