Deployment & DevOps Servidores MCP
Descubre nuestra colección curada de servidores MCP para deployment & devops. Explora 1818 servidores y encuentra los MCP perfectos para tus necesidades.
Unbundle OpenAPI
Unbundles large OpenAPI specifications by splitting them into multiple files or extracting specific endpoints into a new file.
Firebird Database Connector
Enables AI assistants to securely connect and interact with external Firebird databases for SQL query execution and data management.
Auto-Remediation Monitoring
Monitors, diagnoses, and automatically resolves issues in containerized applications using AI-powered incident analysis.
Tailscale
Provides a Model Context Protocol (MCP) server for comprehensive management of Tailscale resources.
Ignition
Provides AI assistants with seamless integration to the Ignition SCADA/MES platform for automation, monitoring, and management.
Secure Installer
Automates the installation and containerization of other Model Context Protocol (MCP) servers directly from GitHub repositories.
AzResource
Enables querying and listing Azure resources and costs directly from an MCP client.
Streamable Http Server
Provides a development template for building StreamableHttp services with flexible authentication, dynamic service registration, and customizable middleware.
S3
Integrates with S3 for server-side functionality.
Ssh
Enables Large Language Models to connect to and utilize SSH servers through a Model Context Protocol (MCP) integration.
Fast PyAirbyte
Generates data pipeline code for any Airbyte Connector using a single natural language prompt.
Tuyactl
Control Tuya smart home devices from the command line using local keys.
DevOps Bridge
Connect DevOps platforms via a natural language interface using AI.
Tekton Model Context Protocol
Implements a Model Context Protocol server for Tekton.
Looking Glass
Provides extensive network probing and diagnostic capabilities from multiple global vantage points.
Sonar
Implements an MCP server for the SonarQube Cloud API using Golang.
Scaleway Functions
Manage and deploy Scaleway Serverless Functions via the Model Context Protocol.
Gridscale
Enables AI models to interact with the Gridscale API for infrastructure provisioning.
Datadog
Connects Large Language Models with DataDog's observability platform to enable AI assistants to interact with monitoring and operational data.
Highlight GitHub
Extracts diffs from GitHub Pull Requests via the GitHub REST API.
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