"Information about AutoIt scripting language" matching MCP servers:

Embeds live, interactive Tableau dashboards in ChatGPT, pushing mark selections to the model so questions about specific data points are answered with live queried numbers.

Provides access to 27 UK government data sources and services, enabling queries about transport, business, healthcare, and more via natural language.

Enables currency conversion and exchange rate lookups using real ECB reference rates, free and without an API key. Supports natural language queries like 'convert 100 USD to EUR' or 'what's the exchange rate between GBP and JPY?'.

This MCP server provides comprehensive Google Workspace integration (Gmail, Drive, etc.) with multi-user OAuth. Unique features include RAG-powered natural language to Chat card rendering, runtime Jinja2 macro creation, and dynamic tool management.

MCP server for AI Diagram Maker — generate software engineering diagrams from natural language, code, ASCII diagram, images, or Mermaid. Inline diagram rendering using MCP apps UI and diagram URL in responses. Works with Cursor, Claude Desktop, Claude Code, and any MCP-compatible AI.

Connects MCP clients to a Calibre ebook library for semantic search, metadata curation, and library management via natural language.

An MCP server that provides live status updates for the Eco via Sirens game server, displaying meteor countdowns, player statistics, and world information directly within Claude Desktop. It also serves as a minimal reference implementation for building MCP Apps in Python without complex tooling.

Enables AI assistants to create, edit, and simulate EnergyPlus building energy models via natural language. Supports schema exploration, model editing, simulation execution, and documentation search.

Enables interaction with the Xero Accounting API to manage contacts, invoices, payments, accounts, and financial reports. It provides a suite of tools for natural language access to accounting records and business performance data.

Enables household management through natural language, covering bills, chores, shopping, reminders, budget, and smart-home devices, with every mutating action dry-run, confirmed, and audited.

Enables management of Sprite VMs through interactive dashboards and terminal interfaces. It allows users to execute commands, create filesystem snapshots, transfer files, and manage VM lifecycles via natural language.

Enables AI assistants to automate mobile app testing and development for iOS and Android through natural language interactions. Supports intelligent element identification, session management, automated test generation, and comprehensive device interactions including clicks, swipes, screenshots, and app management.

A lightweight, self-hosted MCP server that connects LLM-based agents to Red Hat Lightspeed services, enabling natural language querying of read-only (and optionally write) operations across Advisor, Image Builder, Inventory, Planning, Remediations, and Vulnerability services.

Enables natural language control of the Timesheet API for timer management, task tracking, and project management through MCP tools.

Query clinical datasets like MIMIC-IV and eICU with natural language, supporting both tabular EHR data and clinical notes through a unified interface.

Enables natural language interaction with the Zenskar billing platform, covering customers, contracts, invoices, payments, accounting, products, plans, and more.

A MCP server that bridges LLMs with GitHub repository management, enabling automated analysis of pull requests, issue management, tag creation, and release management through natural language.

Official MCP server for Shipmail, enabling agents to manage domains, mailboxes, messages, threads, webhooks, and suppressions via natural language.

A Model Context Protocol server that enables natural language querying of Kaseya's Autotask PSA data through AI assistants, supporting contract analysis, ticket tracking, agent activities, and project status monitoring.

An MCP server that provides a toolbox for interacting with EPA SWMM stormwater models, enabling users to analyze model data and interpret results through LLM-driven tools. It assists stormwater modelers in understanding hydraulic systems and modeling behavior using natural language interfaces.