539 Model Context Protocol servers — searchable, rated, ready to install.
Web scraping with stealth HTTP, real browsers, and Cloudflare bypass. CSS selectors supported.
Manage RosettaHUB user AWS accounts — budgets, AWS CLI, access control.
Docker Hub MCP — wraps the Docker Hub v2 API (free, no auth required for public data)
Governed Kubernetes ops — 55 MCP tools with audit, budget, undo, risk-tier audit labels.
Deploy a local folder, git repo, or Docker image to a live HTTPS URL from your AI chat.
SEO MCP over Search Console, GA4, PageSpeed Insights, Cloudflare, IndexNow, CrUX, technical-SEO.
327 dev tools via REST API and MCP. Generate Dockerfiles, schemas, K8s, APIs, and more.
Build, deploy, and run web scraping and automation actors in the cloud
Azure FinOps MCP: cost, budgets, forecasting and optimization for Claude, VS Code and Cursor.
AWS MCP Server lets AI securely access AWS using docs, API calls, and SOP workflows.
F5 Distributed Cloud Terraform provider docs, 270+ OpenAPI specs, and subscription info for AI.
SQL to PySpark conversion, AWS Glue job generation, and Spark code optimization.
Multi-site analytics as tools: GA4, Search Console, Cloudflare edge, PageSpeed, insights.
Deploy compliant ERC-20 tokens from any AI agent. 17 tools, 10 networks, CertiK-audited.
Manage Sable AI voice agents, query HyperDX logs and metrics, and deploy — all from your IDE
Build, deploy and manage MaShop e-commerce projects from Claude, Cursor or any MCP client.
Unofficial MCP server for Make.com automation - build, validate & deploy scenarios via AI
MCP server for AWS DynamoDB with fine-grained tool control and configurable access levels.
Query Airbrake errors, notices, deploys, and project stats from MCP clients
Model Context Protocol (MCP) server for DeployHQ API integration
Deploy apps on your cloud. Create environments, configure infrastructure, and monitor jobs.
Structured Docker operations (ps, images, logs, build) as typed JSON.
Operate Unblu deployments: health checks, conversation ops, and 300+ API endpoints
SDK for creating, managing, and operating Kubernetes clusters and workloads with ease.
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