Discover our curated collection of MCP servers for deployment & devops. Browse 3086 servers and find the perfect MCPs for your needs.
Automatically commits Git changes and generates commit messages using conventional commits format.
Pins third-party dependencies to immutable digests using the Model Context Protocol.
Connects LLMs to DefectDojo, enabling AI-powered security workflows through a Model Context Protocol server.
Integrates a Model Context Protocol (MCP) server for GitLab within the Zed editor.
Retrieves SonarQube project quality metrics programmatically via the FastMCP framework.
Integrates with KubeSphere APIs to enable resource retrieval.
Implements a Model Context Protocol (MCP) server using AWS Lambda and SAM for serverless operation.
Automates GitLab CI/CD workflows using an AI-powered multi-agent system that interprets natural language commands.
Integrates the Coroot observability platform, enabling AI agents and MCP clients to access monitoring, troubleshooting, and configuration capabilities.
Provides a robust interface to manage Jenkins CI/CD servers, enabling job triggering, build status checks, and detailed instance monitoring.
Provides a robust Python implementation for programmatic interaction with Frappe Framework, offering comprehensive API coverage, advanced filtering, and a custom filter language to overcome JSON validation limits.
Enables AI assistants like Claude Desktop and Claude Code to interact with DeployHQ deployments and access critical deployment information.
Manage `package.json` projects with an AI-driven desktop hub, consolidating scripts, Git, workflows, deploys, and security audits into one-click actions.
Exposes Kubernetes resources as structured tools, enabling AI agents to interact with a Kubernetes cluster.
Provides robust, Caddy-style webhook infrastructure to receive, queue, and process webhooks with advanced delivery, security, and observability features.
Empowers LLM agents with secure, read-only bash access to remote servers over SSH.
Transforms any OpenAPI/Swagger-described HTTP API into an MCP server, generating a distinct MCP tool for each endpoint.
Provides a headless server for programmatic execution of Eclipse Memory Analyzer Tool (MAT) commands and OQL queries.
Provides a comprehensive suite of encoding-aware development tools, process management, and remote access capabilities for AI coding agents.
Transforms shallow AI coding plans into expert-level architecture blueprints through a council of specialized AI architects.
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