MCP Windows Desktop Automation
# MCP Windows Desktop Automation A Model Context Protocol (MCP) server for Windows desktop automation using AutoIt. ## Overview This project provides a TypeScript…
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2781 servers · Page 150 of 232
# MCP Windows Desktop Automation A Model Context Protocol (MCP) server for Windows desktop automation using AutoIt. ## Overview This project provides a TypeScript…
Agent Trust (mnki-mcp) is a local MCP proxy that sits between your MCP client and any MCP server and checks every tools/call against an…
Monadomain-mcp lets an AI agent (Claude Code, Codex, Cursor, Gemini CLI) buy a domain name for the app it is building, right inside the…
# Modex: Model Context Protocol Server & Client Library in Clojure Modex (MOdel + ContEXt) is a Clojure library that lets you augment your…
Official remote MCP server for AurasPay merchants to review scoped payment activity and prepare approval-gated crypto payment links from compatible…
Soar Flight Booking MCP is a remote MCP server available at https://mcp.soar.flights. 2 tools, with
A Model Context Protocol server that lets Claude Code, Claude Desktop, Cursor, Windsurf, Codex CLI, Gemini CLI or any stdio MCP client deploy and……
AML/compliance screening MCP server for AI agents — a verdict with verifiable evidence before money moves. Free tools need no API key. 15 tools…
Read-only MCP and x402 endpoint preflight checks for discovery, payment challenges and response digests.
Verify on-chain delivery receipts for agent payments using content digests anchored on Solana.
MCP Server for Linux Scheduler Management and Auto optimization
# Swagger MCP Server A server that ingests and serves Swagger/OpenAPI specifications through the Model Context Protocol (MCP). ## Features - Loads Swagger/OpenAPI specifications…
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.