Deployment & DevOps Servidores MCP
Descubre nuestra colección curada de servidores MCP para deployment & devops. Explora 1812 servidores y encuentra los MCP perfectos para tus necesidades.
MCPcat
Captures user intentions and behavior patterns to provide analytics for server owners.
Interactive Brokers
Integrates the Interactive Brokers Web API with the Model Context Protocol, enabling programmatic access to financial market data and trading functionalities.
Databricks
Enables interaction with Databricks clusters, jobs, and notebooks via the Model Completion Protocol.
Get Gather
Provides a containerized service for Model Context Protocol clients to interact with and act upon user data.
Netbird
Provides contextual information about a Netbird network to applications supporting the Model Context Protocol (MCP).
Hetzner Cloud
Manage Hetzner Cloud resources through structured functions using a Model Context Protocol (MCP) server.
Remote Functions
Deploys a custom remote server to the cloud using Azure Functions for use with the Model Context Protocol (MCP).
Esxi
Provides a REST API for managing VMware ESXi/vCenter virtual machines using the Model Control Protocol.
Airflow API
Integrates Apache Airflow API to provide comprehensive tools for cluster management, monitoring, and operations via Model Context Protocol.
MySQL
Empowers AI assistants to perform comprehensive and secure operations on MySQL databases, including CRUD, transaction management, and intelligent rollback.
Bitbucket Server
Enables interaction with the Bitbucket Server API for pull request management via the Model Context Protocol (MCP).
Alibaba Cloud Observability
Provides tools for accessing and interacting with Alibaba Cloud's observability products like SLS and ARMS.
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.
MCPShell
Safely executes command-line tools through the Model Context Protocol (MCP).
Databricks
Enables LLMs to interact with Databricks clusters, jobs, notebooks, and more via the Model Completion Protocol (MCP).
Ops
Automates server, network device inspection, and IT operations with AI-driven monitoring and anomaly detection.
RAG App on AWS
Deploys a complete AWS backend infrastructure for retrieval-augmented generation applications, integrating with Gemini Pro and a Streamlit UI.
Podman
Facilitates Model Context Protocol (MCP) communication for container runtimes such as Podman and Docker.
Honeycomb
Enables Honeycomb Enterprise customers to query and analyze their observability data, alerts, dashboards, and cross-reference production behavior with codebase using LLMs.
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