Discover and integrate MCP servers tagged with automation
12 automation MCP Servers Available
MCP Database Server is a new MCP Server which helps connect with Sqlite, SqlServer and Posgresql Databases
A Model Context Protocol server that provides desktop automation capabilities using RobotJS and screenshot capabilities
Cursor Talk To Figma MCP
An MCP server that enables natural language commands for managing GitHub repositories
AI Agents & MCPs & AI Workflow Automation • (280+ MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Connect APIs, remarkably fast. Free for developers.
The definitive Vibe Coder's sanity check MCP server: Prevent cascading errors in AI workflows by implementing strategic pattern interrupts. Uses tool call "Vibe Check" with LearnLM 1.5 Pro (Gemini API), fine-tuned for pedagogy and metacognition to enhance complex workflow strategy, and prevents tunnel vision errors.
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.</br>This server provides cloud browser automation capabilities using Browserbase, Puppeteer, and Stagehand (Coming Soon). This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud browser environment.Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more)
Interact with any other SaaS applications on behalf of your customers.
FastAPI server implementing MCP protocol Browser automation via browser-use library.
A Model Context Protocol server for Excel file manipulation
Helps AI assistants access text content from bot-protected websites. MCP server that fetches HTML/markdown from sites with anti-automation measures using Scrapling.
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
