Agent skill that turns natural language, code, Terraform/K8s, SQL, OpenAPI, AsyncAPI, Protobuf and GraphQL sources into editable, tested draw.io architecture diagrams: incremental sync, multi-view projection, drift diff, CI architecture tests, whiteboard derasterize, interactive HTML/PPTX/Mermaid exports.

Serves the free Frankfurter exchange-rate API as MCP tools over stateless Streamable HTTP on Cloudflare Workers, letting clients list supported currencies, fetch the latest rates, and look up historical rates for a given date. Each OpenAPI operation becomes one tool, with argument validation and per-IP rate limiting.

Open-source CRM your AI agents can read and update: companies, people, opportunities, tasks and notes. REST API, self-hosted or cloud.

A single MCP gateway that lets every agent and login on your machines reach services like Notion, Sentry, Cloudflare, Gmail and Google Calendar after signing in once, with per-agent tokens. Calls that reach other people or can't be undone wait for approval first, and every call is logged.

Simple, modular, and observable Go framework for backend applications.

Cloud architecture diagrams in both directions: AI prompt or JSON to diagram, diagram to Terraform via MCP server, and Terraform to diagram via CLI or CI/CD. Using Official AWS, Azure and GCP icons.

Rust MCP and CLI server for Docker, host inspection, SSH, logs, ZFS, and safe file operations.

Self-hosted search gateway for AI agents. Unified search, news and page extraction with provider fallback. REST API, MCP server and TypeScript library.

Enables Claude to operate a Hetzner estate end to end — Cloud servers, Cloudflare and Hetzner DNS, SSH hosts, and Coolify deployments, plus multi-step recipes — through 53 tools. Writes are dry-run until confirmed, protected servers refuse destructive calls, and every call is audited with secrets masked.

Equips AI coding agents with searchable production incident scenarios, outside-in diagnostic runbooks, interview elevator pitches, hardened Kubernetes manifest generation, CLI cheat sheets, and cloud architecture blueprints.

Enables users to connect ChatGPT or remote MCP clients to their own Garmin cloud health and activity data through a self-hosted, read-only OAuth-protected Cloudflare Worker.

A read-only server that enables AI agents to triage Kubernetes CronJobs in a single tool call: whether runs happened and stayed on schedule, whether durations are trending slower or overrunning, which jobs have silently stopped succeeding, and why a given run failed, with evidence and stated basis for each verdict. It also lists active runs and recent failures while enforcing namespace allowlists and no write access.

Enables MCP clients to run read-only health checks against HTTP, TCP, SSL, and Docker targets defined in a single config.json, reporting status codes, latency, certificate expiry, and container state. Nothing is written, restarted, or modified — each probe just opens a connection, reads, and closes it.

Lets an AI assistant read and modify a YNAB plan, including viewing budgets, accounts, categories, and transactions, plus creating and deleting transactions. It can run locally over stdio or as a remote Cloudflare Worker connector, with optional read-only mode and category suggestions.

Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents

Enables AI agents and assistants to inspect live system telemetry, check TCP port connectivity, audit environment variables for leaked secrets, analyze and summarize log files, and list Docker containers — all with token-efficient, compressed output.

Enables AI clients to securely control Linux and WSL2 systems over Streamable HTTP with Bearer token authentication, supporting command execution, background jobs, file operations, Docker management, system inspection, and audit log access with safety confirmations and path protections.

Enables MCP-compatible clients to plan, validate, generate, and deploy complete network topologies from natural-language instructions, including live deployment to a running network simulator and export to configuration or script files.

Enables a model to write short Python programs that call a wrapped MCP server's tools as async functions, rather than invoking them one at a time. The program runs in a locked-down Docker sandbox, and every tool call passes through a host-side bridge that enforces an allowlist, schema-validated arguments, call budgets, timeouts and output caps.

A self-hosted sandbox for red teams to test payloads against modern detection before deployment. MCP integration lets an LLM agent drive analysis end to end.

A growing collection of MCP servers bringing offensive security tools to AI assistants. Nmap, Ghidra, Nuclei, SQLMap, Hashcat and more.