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Open-source infrastructure for securely running AI-generated code in isolated sandboxes that start in milliseconds, with SDKs for Python, TypeScript, and other languages, persistent snapshots, and an optional managed cloud.

Managed and self-hostable headless browser infrastructure for Puppeteer, Playwright, BrowserQL, REST APIs, and AI browser automation workflows.

Official AWS Labs MCP server for Amazon EKS that gives AI code assistants real-time cluster state visibility and Kubernetes/EKS resource management, from cluster setup through deployment, troubleshooting, and optimization.

Manage Fly.io applications, machines, volumes, secrets, certificates, and organizations from Claude — with the official Fly.io MCP server built into the flyctl CLI.

Manage Docker and Kubernetes infrastructure from Claude — list environments, inspect containers, manage GitOps workflows, troubleshoot resources, and proxy Docker/K8s API calls — with the official Portainer MCP server generated from the Portainer OpenAPI spec.

Manage Railway projects, services, deployments, and environments from Claude — create projects, deploy templates, pull variables, trigger redeployments, and more — with the official Railway MCP server built into the Railway CLI.

Connect Claude to DigitalOcean — manage Apps, Droplets, managed Databases, Kubernetes, Container Registry, networking, and Functions — with DigitalOcean's official Model Context Protocol server.

Connect Claude to BorealHost's MCP server for hosting and infrastructure management — 47 tools spanning servers, domains, DNS, SSL, and deployments. Add it remotely with claude mcp add --transport http, or run it locally over stdio via pip install borealhost-mcp with a BOREALHOST_API_KEY.

The official Render MCP server lets LLMs manage Render resources: create and manage web services, static sites, cron jobs, Postgres and Key-Value instances, monitor deploys, query logs and metrics, and run read-only SQL against Render Postgres.

Open-source AI gateway that can connect to downstream MCP servers and expose their aggregated tools through a single HTTP or SSE MCP endpoint for Claude Desktop, Cursor, and other MCP clients.

MCP server for Coolify infrastructure management, diagnostics, deployments, logs, projects, environments, applications, databases, services, env vars, storage, scheduled tasks, private keys, cloud tokens, teams, and docs search.

Docker's MCP CLI plugin and gateway for running catalog, OCI, registry, or local-file MCP servers in containers and exposing them to Claude, Cursor, VS Code, and other MCP clients through a shared gateway profile.

Google Cloud gcloud MCP server from googleapis that lets Claude run approved gcloud CLI commands with allowlist and denylist controls for cloud resource inspection, automation, and operations.

AWS-maintained proxy and Python library that lets MCP clients and agent frameworks connect to IAM-secured MCP servers on AWS by signing requests with AWS SigV4 credentials.

MIT-licensed Kubernetes gateway and management layer for MCP servers, with session-aware routing, adapter lifecycle APIs, tool registration, Entra ID role authorization, and optional agent/session preview resources.

Official Oracle repository of MCP reference servers for OCI CLI, OCI SDK, Oracle Database services, Cloud Guard, Object Storage, Monitoring, Logging, and Oracle Database documentation workflows.

MIT-licensed MCP proxy server that aggregates multiple downstream MCP servers behind one HTTP service, exposing each configured server through SSE or Streamable HTTP endpoints with auth tokens and tool filtering.

Docker-deployed MCP gateway that aggregates downstream MCP servers into namespaces, endpoints, SSE, Streamable HTTP, OpenAPI, auth, and rate limits.

Official Microsoft Azure MCP server that connects Claude and other MCP clients to Azure subscriptions, resource groups, storage, databases, Key Vault, Monitor, App Service, AKS, AI Search, Cosmos DB, RBAC, pricing, and other Azure services through local stdio or self-hosted HTTP transports.

Connect Claude to Terraform Registry, HCP Terraform, and Terraform Enterprise context through HashiCorp's MCP server.

Manage your Knock notification infrastructure from Claude — create and edit workflows, channels, templates, and email layouts, manage users and tenants, commit changes across environments, and debug message logs — with the official Knock remote MCP server.

Open-source AI data infrastructure for storing documents, embeddings, metadata, and retrieval indexes across local, self-hosted, and managed Chroma Cloud deployments.

MIT-licensed infrastructure for computer-use agents: background desktop drivers, MCP server support, Python SDKs, local/cloud sandboxes, macOS, Windows, Linux, Android, Cua Bench, GUI automation skills, and Lume virtualization for agents that see, click, type, and verify real desktops.

Manage Liveblocks real-time collaboration infrastructure from Claude — create and manage rooms, broadcast events, retrieve collaborative storage and Yjs documents, manage threads and comments, handle inbox notifications, and configure notification settings — with the official Liveblocks MCP server.

Expert capability pack for reviewing Claude Code autoMode settings blocks, trusted infrastructure prose, classifier rule overrides, and documented claude auto-mode CLI inspection before enabling permission-free auto mode.

Open source MCP server for querying Brazilian public data sources, including economic, legislative, transparency, judicial, electoral, environmental, health, education, public-safety, aviation, and infrastructure datasets.

Open-source infrastructure for running AI-generated code in secure, isolated cloud sandboxes, with Python and JavaScript SDKs, a Code Interpreter package, and self-hosting options.

Open-source MCP platform for running MCP servers in isolated containers, managing registries, enforcing access policy, and operating local or Kubernetes-based MCP infrastructure.

Lightweight open-source serving framework for building custom AI model inference APIs by defining a LitAPI with setup and predict methods, with batching, streaming, multi-GPU autoscaling, OpenAI-compatible endpoints, and support for compound, multimodal, RAG, and agent pipelines.