Discover our curated collection of MCP servers for deployment & devops. Browse 1811servers and find the perfect MCPs for your needs.
Interacts with a filesystem server, allowing execution of specified tools with given arguments.
Demonstrates the integration and usage of the GitHub API through MCP server functionality.
Enables running a remote Model Context Protocol (MCP) server on Cloudflare Workers with OAuth login.
Integrates AI assistants with Statsig's feature flagging and experimentation platform for comprehensive feature management.
Integrates with Blackduck Coverity to programmatically manage issues and retrieve diagnostic information.
Enables a remote Model Context Protocol (MCP) server on Cloudflare Workers with OAuth login.
Enables AI assistants to access and manage torero services, decorators, repositories, and secrets.
Provides a secure and robust Model Context Protocol server for managing file system operations with built-in safeguards and comprehensive error handling.
Automates Lens Desktop with screenshot capture and console log monitoring.
Manages Azure DevOps work items through the Model Context Protocol (MCP) server.
Provides access to AWS S3 functionality through Model Context Protocol (MCP) compatible tools.
Provides a production-ready Model Context Protocol (MCP) server to seamlessly integrate ERPNext with AI assistants.
Provides a powerful management panel for Model Context Protocol (MCP) services, offering visual service management, tool invocation, and AI conversation functionalities.
Investigates data across diverse sources by connecting to both local and external Micro-Capability Providers (MCPs).
Integrates with Joplin as a Machine Curation Protocol (MCP) server, enhancing note organization and processing capabilities.
Deploys a Model Context Protocol (MCP) server designed to run on AWS Lambda, integrating custom tools with AI clients.
Provides a production-ready FastMCP reference server, bundled with hackathon resources and reusable starter prompts for Cursor integration.
Automates code analysis and testing for Python projects by performing linting and static type analysis within a continuous integration environment.
Enables AI assistants to directly interact with Jenkins CI/CD systems, offering AI-powered insights, build management, and debugging.
Provides slides and materials for a workshop on deploying applications to Kubernetes.
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