AI Sandbox Environments: the site's own MCP server — enquiry (enquiry = a human handoff, not a...

Federal environmental records near any US location, with dates and provenance; never a safety score.

Native local development environment for Windows, macOS & Linux. A modern alternative to XAMPP, MAMP, Laragon and Laravel Herd, with runtimes, databases, web servers, local sites, HTTPS, AI coding tools and MCP.

A lightweight way to use environment variables in your Cursor MCP server definitions.

The ADE for AI agents. Automate everything else. Do your true work.

Postman MCP Server — connect AI agents (Claude Code, Cursor, VS Code Copilot, Gemini CLI) to your Postman collections, specifications, and environments via Model Context Protocol (MCP)

🌍 Terraform Model Context Protocol (MCP) Tool - An experimental CLI tool that enables AI assistants to manage and operate Terraform environments. Supports reading Terraform configurations, analyzing plans, applying configurations, and managing state with Claude Desktop integration. ⚡️

Connects AI assistants directly to IBM Maximo environments to discover APIs, inspect schemas, query live data, generate UI code, and create, update, or act on records through OSLC REST and business workflows.

Enables AI assistants to answer natural-language questions about environmental monitoring stations, returning real-time readings, hourly time-series, and combined station overviews. Supports per-user account binding and OAuth 2.1 authorization so each user only sees stations within their own permissions.

Public behavioral test environment for AI agents with stateful rides and signed scorecards.

A-Team MCP Server — build, validate, and deploy multi-agent solutions from any AI environment

A free local cloud environment for AI agents to build, test, and debug Google Cloud applications.

Accounts-payable exception environment with a pass/fail verifier and proof packet: AI agents work AP

Enables AI clients to search laws and cases and retrieve legal materials through a stdio bridge, with Token configured in the environment and dynamic discovery of account-available tools.

Inventory local Codex plugins and Skills, inspect recorded usage, and identify potential redundancy to support user-directed cleanup. Includes a local MCP service, dashboard, and companion Skills; requires Windows and a local Codex environment.

Enables AI assistants to scan-code log into Yuketang and read-only browse courses, slides, classroom replays with page-flip timelines, AI mind maps, notes, and assignment progress. Sessions can be supplied via QR login or environment variables, with separate handling for the four Yuketang regional deployments.

Enables MCP clients to query a sensitive local workspace through a read-only status bridge that returns only pre-defined numeric file counts, status enums, and static policy—never source, paths, diffs, logs, environment variables, or command execution.

Enables vendors to run a declared check battery against their own MCP server, emit sealed Assay-format scorecards with evidence hashes and environment fingerprints, and have a local verifier re-run a random sample to issue counter-signed verification receipts.

Enables LLM-powered developer environments to discover and evaluate potentially beginner-friendly GitHub issues using explainable heuristics, clear rationale, and direct evidence links over stdio.

A Minecraft MCP Server powered by Mineflayer API. It allows to control a Minecraft character in real-time, allowing AI assistants to build structures, explore the world, and interact with the game environment through natural language instruction

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 and CLI users to query and modify multiple MySQL data sources routed by project and environment, with explicit environment binding, server-side read-only enforcement, hot-reloaded web configuration, and SQL execution auditing.

Turns any OpenAPI 3.x spec into an MCP server that exposes one validated tool per API operation, so AI agents can discover and call a REST API over stdio or Streamable HTTP. It is read-only by default, with allow/deny lists, environment-based auth, timeouts and response truncation for safe agent access.

Enables MCP clients to retrieve invoice history, pending invoices, and billing summary counts from a SIMAR portal through read-only tools, with credentials supplied via environment variables.