Deployment & DevOps MCP Servers
Discover our curated collection of MCP servers for deployment & devops. Browse 1029servers and find the perfect MCPs for your needs.
Pulumi
Enables programmatic interaction with Pulumi CLI and Cloud API through the Model Context Protocol.
GCP
Manages Google Cloud Platform resources through natural language commands using integration with Claude Desktop.
Podman
Facilitates Model Context Protocol (MCP) communication for container runtimes such as Podman and Docker.
Dingdingbot
Enables sending various types of messages to DingDing group robots via an MCP server.
Higress OPS
Enables configuration and management of Higress through a Model Context Protocol (MCP) server implementation.
WebSocket Enhancements
Enhances a Model Context Protocol server with WebSocket functionality for real-time data updates.
Cyclops
Enables AI agents to safely manage Kubernetes applications by abstracting complexity and ensuring production-ready configurations.
RAG App on AWS
Deploys a complete AWS backend infrastructure for retrieval-augmented generation applications, integrating with Gemini Pro and a Streamlit UI.
Pyats
Enables structured interaction with network devices via STDIO using the JSON-RPC 2.0 protocol.
Ops
Automates server, network device inspection, and IT operations with AI-driven monitoring and anomaly detection.
ShotGrid
Provides a Model Context Protocol (MCP) server for Autodesk ShotGrid/Flow Production Tracking (FPT), offering comprehensive CRUD operations and data management.
Infisical
Enables function calling integration with Infisical APIs.
Git
Enables Large Language Models to interact with, read, search, and manipulate Git repositories for automation.
Grpc
Proxies to a gRPC backend using a descriptors file or server reflection.
Sentry
Retrieves and analyzes issues from Sentry.io to provide debugging information.
Community
Facilitates the easy running, deployment, and connection to Model Context Protocol servers.
Delve
Provides a complete interface to the Delve debugger for Go programs through MCP tools.
Aws Resources
Enables querying of AWS resources using boto3 code snippets via a Model Context Protocol (MCP) server.
DataWorks
Enables AI agents to interact with the DataWorks Open API for seamless cloud resource operations.
Terminal
Enables AI models to control your PC or server via SSH or terminal.
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