Deployment & DevOps MCP 서버
deployment & devops를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1812개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Databricks
Enables interaction with Databricks clusters, jobs, and notebooks via the Model Completion Protocol.
Metoro
Enables interaction with Kubernetes clusters via the Claude Desktop App by exposing Metoro APIs to LLMs.
Loki
Integrates Grafana Loki log data with the Model Context Protocol for AI agent interaction.
Get Gather
Provides a containerized service for Model Context Protocol clients to interact with and act upon user data.
Airflow API
Integrates Apache Airflow API to provide comprehensive tools for cluster management, monitoring, and operations via Model Context Protocol.
Remote Functions
Deploys a custom remote server to the cloud using Azure Functions for use with the Model Context Protocol (MCP).
MySQL
Empowers AI assistants to perform comprehensive and secure operations on MySQL databases, including CRUD, transaction management, and intelligent rollback.
Esxi
Provides a REST API for managing VMware ESXi/vCenter virtual machines using the Model Control Protocol.
Hetzner Cloud
Manage Hetzner Cloud resources through structured functions using a Model Context Protocol (MCP) server.
Netbird
Provides contextual information about a Netbird network to applications supporting the Model Context Protocol (MCP).
Bitbucket Server
Enables interaction with the Bitbucket Server API for pull request management via the Model Context Protocol (MCP).
Kubernetes
Provides safe, read-only access to Kubernetes cluster resources for debugging and inspection via a Model Context Protocol server.
Github Actions
Enables AI assistants to manage and operate GitHub Actions workflows.
Alibaba Cloud Observability
Provides tools for accessing and interacting with Alibaba Cloud's observability products like SLS and ARMS.
RAG App on AWS
Deploys a complete AWS backend infrastructure for retrieval-augmented generation applications, integrating with Gemini Pro and a Streamlit UI.
Ops
Automates server, network device inspection, and IT operations with AI-driven monitoring and anomaly detection.
Databricks
Enables LLMs to interact with Databricks clusters, jobs, notebooks, and more via the Model Completion Protocol (MCP).
MCPShell
Safely executes command-line tools through the Model Context Protocol (MCP).
Podman
Facilitates Model Context Protocol (MCP) communication for container runtimes such as Podman and Docker.
Konnect
Enables AI assistants to query and analyze Kong Gateway configurations, traffic, and analytics through a Model Context Protocol (MCP) server.
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