Discover our curated collection of MCP servers for deployment & devops. Browse 3069 servers and find the perfect MCPs for your needs.
Securely stores API keys and provides npm package installation.
Deploys an MCP server, similar to Ollama.
Manages Model Context Protocol (MCP) servers by adding/removing them in predefined groups, integrating with tools like Claude and Cursor.
Exposes enterprise microservice APIs via the MCP protocol with dynamic tool registration.
Exposes microservice functionalities over Model Context Protocol (MCP) with configurable flow selection and security policies.
Facilitates Git repository management through the Model Context Protocol.
Enables AI assistants to interact with Apache Airflow workflows, monitor DAG runs, and programmatically manage tasks.
Deploys an unauthenticated Model Context Protocol (MCP) server on Cloudflare Workers for AI agent integration.
Provides a powerful Retrieval-Augmented Generation (RAG) server with dynamic support for various embedding providers via the Model Context Protocol (MCP).
Provides secure, compact access to PostgreSQL databases, SSH command execution, and HTTP API interactions for AI agents.
Streamline DevOps processes by providing multi-server management, intelligent scenario mapping, and complete CI/CD lifecycle operations for Jenkins.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare, integrating Google OAuth for secure client connections.
Manages CloudLab/Emulab experiments, enabling AI assistants to directly interact with your experimental setups.
Automate code quality analysis, identify improvement opportunities, and coordinate multi-AI agents for software development.
Enables AI assistants like Claude to conduct comprehensive security audits on Solidity smart contracts through integration with static analyzers and pattern matching.
Orchestrates 13 specialized AI agents to manage the full software development lifecycle from discovery to deployment.
Integrates Prometheus monitoring capabilities with Model Context Protocol (MCP) clients, enabling powerful data querying and analysis.
Empowers AI assistants to perform shell command execution and diverse system operations on a computer's operating system.
Integrates with GitLab to provide a secure Model Context Protocol server for managing projects, merge requests, issues, pipelines, and search functionalities.
Empowers AI agents with tools to interact with Azure DevOps services and local Git repositories.
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