"Tools or methods to automate browser interactions with clicks" matching MCP servers:

Autonomous DeFi yield for AI agents on Base. Query APY rates, agent status, payment splits, and referral stats. 4 read-only tools + 1 resource.

This application is a powerful browser monitoring and interaction tool that enables AI-powered applications via Anthropic's Model Context Protocol (MCP) to capture and analyze browser data through a Chrome extension.

Recommends study designs for a research question, states the identifying assumptions to verify, and returns runnable R, Python, or Julia code with a formatted citation for every source, drawn from methodological textbooks, an R package, and research articles on causal inference, econometrics, statistics, and machine learning.

Enables interaction with Microsoft Power Automate cloud flows via Azure CLI, allowing management of flows, triggers, runs, and connections.

Local-first MCP server and Chromium extension for AI-assisted Microsoft Power Automate work, enabling users to inspect, validate, edit, run, review, and revert cloud flows using a browser session.

Enables AI assistants to edit Power Automate cloud flows live, including reading/writing flow definitions, managing connectors, and syncing changes, with no admin rights or app registration required.

Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.

A Model Context Protocol server for ConnectWise Automate with decision tree architecture, enabling Claude to manage scripts, computers, groups, and automation workflows.

Reliable, scalable browser infrastructure for AI agents. Route, pool, and failover across any browser provider. 8 built-in browser tools using raw Chrome CDP - navigate, screenshot, snapshot, interact, evaluate. Zero-config with auto Chrome detection & concurrent sessions support

An MCP server that lets agents inspect, operate, and author Microsoft Power Automate cloud flows from a CLI/agent context.

Enables remote agents to control a local Chrome/Edge browser via MCP, supporting navigation, snapshots, clicks, typing, screenshots, and script execution.

Automate your real Chrome browser locally with AI, supporting vision, human-like input, code execution, macros, and watchdogs.

MCP-first browser-control toolkit enabling AI agents to safely automate browser actions using redacted snapshots and ref-based interactions.

Middleware that converts a serverless handler with OpenAPI spec into an MCP endpoint following stateless MCP principles.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

A token-efficient MCP server for Chrome browser automation that uses direct CDP and accessibility-tree-based references for stable element selection across DOM changes.

Enables AI assistants to browse the web efficiently via compact goal-based views, lazy image loading, and low-latency interactions.

Headed Playwright browser MCP server with persistent profile, providing 23 tools for full browser automation while masking PII data.

Gives AI agents a compact, semantic interface to the browser, returning structured page snapshots with stable element IDs instead of raw DOM. Enables agents to navigate, interact, and extract information from web pages efficiently.

Lets MCP agents drive VS Code's integrated browser tab that the user shares with them: opening pages, taking accessibility snapshots and screenshots, clicking, typing, scrolling, dragging and reading console and network activity with real trusted input. It also maps a picked element back to the source file, line and column that rendered it, so an agent receives the same selection the developer clicked.