"Checking Domain Name Availability" matching MCP servers:

Enables AI agents to write, validate, and render high-quality PostScript by providing operator lookup, vetted PSlib fragments, cited reference search, and Ghostscript-based checking.

Lets an AI agent read and change on-premises Active Directory by writing short JavaScript scripts that run in a network-isolated sandbox against a chosen domain. Runs on Windows as the logged-on user, over Kerberos, with tools for executing scripts, searching the domain's schema catalogue, querying Microsoft Learn docs, and managing domain connections and Group Policy objects.

Enables coding assistants to access Perplexity AI for quick fact-checking and in-depth research. Provides two tools: lookup for fast documentation queries and answer for comprehensive research with recommendations.

Exposes vLLM capabilities to AI assistants, enabling chat completions, model management, and platform-aware container control with automatic detection of Docker/Podman and GPU availability across Linux, macOS, and Windows.

Enables parametric CAD modeling using OpenSCAD via MCP, supporting syntax checking, rendering, measuring, and previewing within a sandboxed workspace.

An MCP server that enables AI models like Claude to interact with the Trading Simulator API for checking balances, viewing prices, and executing trades with automatic chain detection.

A comprehensive TypeScript boilerplate MCP server featuring domain-driven design and dynamic component loading. Provides example tools for calculations and text processing, system resources, and writing assistance prompts.

Provides a moby-like random name generator through the MCP interface for generating Docker-style random names. Integrates with Claude Desktop and VS Code Copilot Agent to enable name generation functionality.

Enables code execution and compilation through the Judge0 CE API, supporting multiple programming languages with submission management, status checking, and language configuration retrieval.

Enables AI agents to perform precise arithmetic—including fractions, decimals, irrationals, and large integers—by cross-checking every result against two independently written engines and returning only agreed-upon answers.

Enables MCP clients such as Claude Desktop or Cursor to inspect a coffee-shop sales database schema, validate SQL, and run guarded read-only queries. It supports natural-language questions by exposing tools for schema description, SQL checking, and safe query execution.

Enables AI agents to run untrusted, model-generated Python code in a locked-down throwaway Docker container with enforced isolation and resource limits. Supports starting, checking, and stopping asynchronous runs while returning structured status reports without exposing the host, network, or Docker controls.

Enables AI assistants to write, validate, debug, and execute AutoHotkey v2 scripts on Windows, with tools for syntax checking, script execution, active window inspection, library search, and live debugging via DBGp protocol.

Offloads expensive code reading, editing, and checking tasks to DeepSeek through Claude Code, saving Codex main-thread tokens by 40-60%.

A production-ready foundation template for building Model Context Protocol (MCP) servers with FastAPI, featuring modular tools, comprehensive testing, and OpenShift deployment configurations. Includes automated transformation scripts to create custom domain-specific MCP servers.

A starter template for deploying Model Context Protocol (MCP) servers on Vercel using TypeScript and Vercel Functions. It includes example tools for rolling dice and checking weather to demonstrate tool integration patterns.

Enables Codex to delegate coding tasks to DeepSeek Harness (DSH) for file reading, editing, and checking, while Codex handles planning and review. It manages scheduled workflows with concurrency safety and acceptance evidence.

An all-in-one MCP server providing complete AI agent capabilities including file operations, code execution (Python/Node.js), one-click web deployment with wildcard domain support, Excel/CSV processing, and image generation in isolated multi-tenant workspaces.

It connects MCP-compatible assistants to Rhino 8 for checking status and describing the current selection, with optional explicitly enabled native Python scripting access.

Enables Codex to offload expensive code reading, editing, and checking to a worker agent via Claude Code, supporting async jobs and long-running tasks.