Discover our curated collection of MCP servers for deployment & devops. Browse 2341servers and find the perfect MCPs for your needs.
Deploys a TypeScript Model Context Protocol (MCP) server to Azure Container Apps using SSE transport.
Enables AI assistants and automated workflows to securely interact with and automate Dart and Flutter development tasks.
Integrates with Flashduty APIs to provide advanced incident management and automation capabilities via the Model Context Protocol (MCP).
Defines and executes custom command-line operations for a server using templated configurations.
Enables language models to interact with Apache Kafka and its ecosystem.
Integrates AI assistants with LogicMonitor monitoring data and IT operations, enabling real-time interaction and automated management through structured tools.
Creates a basic, Nix-encapsulated server using Python and uv.
Enables secure, role-based access to MySQL databases through a Model Context Protocol server, optimized for Cloudflare Workers.
Interfaces with the v0 API through a Model Context Protocol (MCP) server.
Provides a serverless implementation of the Model Context Protocol (MCP) using AWS Lambda, CloudFront, and Cognito authentication for scalable and secure cloud-hosted MCP servers.
Deploys an agentic AI architecture on AWS Fargate for Amazon ECS, enabling an AI service to interact with multiple Model Context Protocol servers to perform various actions.
Generates release notes from GitHub commits, organized by type and enriched with PR data.
Enhances development workflows by learning coding patterns and providing intelligent, context-aware assistance.
Facilitates GitHub operations and agent management within an MCP Server environment.
Integrates AI assistants with Azure DevOps for managing work items, pull requests, and wikis.
Retrieves ApiFox interface information using the Model Context Protocol.
Automates the installation and management of Model Context Protocol (MCP) servers.
Provides a read-only Model Context Protocol (MCP) server for AI-powered introspection of Kubernetes, Helm, and Argo environments.
Manages unikernels using the nanos/ops toolchain through an mcp server.
Provides a robust backend for AI agents, delivering custom instruction files and executable scripts.
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