"Using Python to Locate and Retrieve Browser Element Selectors" matching MCP servers:

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

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.

A server that enables interaction with PostgreSQL, MySQL, MariaDB, or SQLite databases through Claude Desktop using natural language queries.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

A production-grade MCP server providing a persistent Python REPL with multi-session support, sandboxing, and timeout protection, enabling LLM agents to execute Python code across multiple turns with variables that persist between calls.

A Model Context Protocol server that brings the capabilities of enigmapython library to LLMs, allowing them to encrypt and decrypt messages using historically accurate Enigma machine emulators

Self-hosted MCP server for AI browser automation. Connects to your own Chromium instance via CDP, providing tools for browser control, navigation, interaction, and content extraction.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

Human-in-the-loop automation framework. Log them in, watch them run.

MCP server for AI browser automation with tools for navigation, actions, data extraction, and scripting, supporting local and cloud execution.

A Model Context Protocol server that allows LLMs to interact with Python environments, execute code, and manage files within a specified working directory.

Enables browser automation using Python scripts, offering operations like taking webpage screenshots, retrieving HTML content, and executing JavaScript.

Ultra-fast browser automation server over Chrome DevTools Protocol (CDP), exposed as MCP, enabling AI agents to control a real Chrome browser with low latency and minimal token usage.

An MCP server that enables AI coding tools to control a browser for automated actions, UI extraction, network interception, and screenshots.

A session-based MCP server that provides advanced browser automation capabilities, allowing users to control browsers, navigate websites, interact with elements, capture screenshots, generate PDFs, and manage cookies through natural language.

Enables secure execution of Python code in a sandboxed WebAssembly environment using Pyodide and Deno. Automatically handles package management and captures complete execution results including stdout, stderr, and return values.

Exposes the SiftingIO market-data SDK to AI assistants, enabling live prices, fundamental data, and market information retrieval.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Provides undetectable browser automation for AI agents, bypassing Cloudflare and other anti-bot systems. Includes 97 tools for navigation, scraping, network interception, and element cloning.

Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.