"Exploring Computer Usage" matching MCP servers:

Monitors your Cursor usage and provides a conserve flag to the agent, helping you manage request quota by batching questions, preferring defaults, and cutting unnecessary confirmations.

An open-source MCP server that lets any coding agent operate your computer like a person does—reading the UI through accessibility trees, clicking and typing in the background, showing an agent pointer, zooming into regions, and driving your signed-in Chrome on macOS, Windows, and Linux.

Model-agnostic computer-use tools over MCP, enabling screen capture and automated actions (click, type, scroll) via natural language tool calls.

A Windows computer use agent — FastMCP server that gives AI assistants hands on the real desktop: windows, UI elements, mouse, keyboard, screenshots, OCR, shortcuts, dialogs, and outcome verification.

Enables Windows desktop automation via MCP, allowing AI agents to control mouse, keyboard, and screen capture with the same interface as Anthropic's computer-use tool.

MCP server for Windows desktop automation, enabling agents to control mouse, keyboard, and UI elements via 22 tools, with OCR, screenshots, macro recording, and autonomous mission execution.

Enables autonomous agents to anchor browser elements from vision inputs, providing stable DOM references resilient to click drift for reliable computer-use automation.

Enables AI agents to use a desktop computer with event-driven settling, waiting for the screen to react and stabilize before returning a settled screenshot and verdict.

A Model Context Protocol (MCP) server for exploring, analyzing, and decompiling Java JAR files.

A TypeScript MCP server for TypeSafe Jev, exposing one tool for batched classification, rubric scoring, and yes/no judgments with probabilities and token usage. Includes Codex compatibility checks and requires a TypeSafe API key.

Provides cryptographically signed, tamper-evident compute usage receipts via a Model Context Protocol server, exposing tools to record usage, verify receipts, list the ledger, and verify ledger integrity without requiring any account, API key, or single cloud provider.

Provides AI assistants with current Ionic Framework v9 and v8 documentation, including component API references, usage examples for Angular, React, Vue, and vanilla JavaScript, and Ionic blog posts. Enables searching docs, reading pages, listing components, retrieving usage examples, and listing blog posts.

Fail-closed evidence manifests for financial AI research: one manifest records evidence artifacts, cutoff timestamps, checks, AI usage and human approval — one verdict before anything ships. MCP tools: gov_check, gov_report, gov_init.

Enables searching TV series and exploring subtitle coverage and episode records from tvsubtitles.net, including release details, uploader, and download page links, with no API key required.

Provides tools to retrieve the GodPrompt universal system prompt and its components (core skill, protocols, gates, anti-patterns) for AI software development, plus task classification. Designed for progressive context usage.

DexPaprika MCP server allows LLMs to access real-time and historical data on tokens, DEX trading activity, and liquidity across multiple blockchains. It enables natural language queries for exploring market trends, token performance, and DeFi analytics through a standardized interface.

Enables natural language queries about the technologies behind websites and the companies running them, using the StackScan Tech Lookup API. Includes tools for domain technology lookup, company details, technology usage stats, and batch company lookups.

Gives AI assistants access to current Capacitor documentation, plugin listings, and Ionic blog posts so they can provide accurate answers about Capacitor APIs and CLI usage.

Read any public web page as a clean AIDocument: Markdown plus title, description, and structure, with navigation and boilerplate stripped. Reads resolve through Lyrenth's shared cache, so it is far fewer tokens than raw HTML and origin-friendly.

Enables AI assistants to generate DOCX and PDF documents from DocMake templates through natural language, including template listing, field inspection, document rendering, DOCX import, and usage tracking.