Deployment & DevOps MCP Servers

Discover our curated collection of MCP servers for deployment & devops. Browse 567 servers and find the perfect MCPs for your needs.

Build simple projects with logging and automatically fix issues based on logs for esp-idf build commands.

Enables local development environments to create, execute, and manage end-to-end tests using Octomind tools and resources.

Provides an MCP interface to access repository information, issues, pull requests, and more from GitHub Enterprise.

Manage Kubernetes resources through natural language using large language models.

Provides a complete interface to the Delve debugger for Go programs through MCP tools.

Retrieves and analyzes issues from Sentry.io to provide debugging information.

Connects Prometheus metrics and data to Claude via the Model Context Protocol (MCP).

Enables configuration and management of Higress through a Model Context Protocol (MCP) server implementation.

Enables AI agents to interact with the DataWorks Open API for seamless cloud resource operations.

Integrates with Microsoft Security Copilot and Sentinel to enhance development, testing, and deployment of security artifacts.

Facilitates the easy running, deployment, and connection to Model Context Protocol servers.

Debug Kubernetes clusters conversationally using an LLM that executes commands on your behalf via the Model Control Protocol (MCP).

Integrates the Model Context Protocol (MCP) server with Nautobot, enabling AI assistants to interact with network data.

Enables efficient handling of filesystem operations through a fast and asynchronous MCP server.

Provides a Docker image for mcpo, exposing Model Context Protocol (MCP) servers as OpenAPI endpoints for OpenWebUI.

Provides a standardized interface to interact with and manage Kubernetes clusters.

Enables Claude to interact with and manage Azure services through natural language.

Provides a unified interface for executing and parsing test results from various testing frameworks.

Provides PostgreSQL database management capabilities, assisting with analysis, guidance, and debugging.

Control Apache Airflow instances via Airflow APIs through a Model Context Protocol (MCP) server.

Scroll for more results...