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

An MCP server for indexing and searching local text files using late-interaction retrieval (ColBERT-style MaxSim), enabling token-level relevance matching.

Enables interactive element inspection on any website, allowing users to click elements and send detailed information (tag, classes, styles, attributes) to Claude for analysis.

Enables AI agents to search, browse, and read a field-tested Xperience by Kentico knowledge pack, fetch checklists and blog articles, request consultations, and access L402-gated premium playbooks via Lightning payment.

Connects Claude with Matrix/Element to read and search messages across rooms. Enables listing rooms, viewing room information, retrieving message history, and searching conversation content from your Matrix account.

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 anchor visible on-screen elements to stable DOM targets, preventing click drift during browser computer-use automation.

A local MCP server that provides tools to query Element Plus component documentation, enabling listing, retrieval, and search of component docs.

Provides comprehensive Element-UI v2.15.14 component documentation including properties, events, and usage examples to help AI assistants generate accurate Vue 2 code.

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

Enables semantic search across multiple Qdrant vector database collections, supporting multi-query capability and providing semantically relevant document retrieval with configurable result counts.

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

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.

Execute Python code via subprocess with timeout and error handling, returning stdout, stderr, and exit code.

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 Playwright-powered MCP server for browser automation using ARIA snapshots and element refs, enabling LLMs to control Chrome/Edge without CSS selectors.

This MCP server provides direct access to ruff linting, formatting checks, and ty type-checking for Python projects, with token-efficient, structured output.

Python MCP server for SolidWorks automation with 109 tools covering the full CAD lifecycle. Enables AI-assisted design workflows through COM automation on Windows.

Enables browser automation over MCP using a real Chrome browser with existing profile, supporting real tabs, downloads, cookies, and RPA workflows.

Enables AI agents to browse, click, type, screenshot, and extract data from web pages without writing CSS selectors, using numbered element refs. It also supports office automation such as bulk form filling, table extraction, downloads, PDF archiving, and page monitoring.

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