"How to View console.log Output in Chrome" matching MCP servers:

Enables any MCP client to drive the user's real Chrome profile through a Chrome extension bridge, with tools for navigation, accessibility snapshots, ref-based interactions, console/network reading, screenshots, tab management, and restricted script evaluation.

An MCP server that builds a local webpage to view AI plans, reports, and diagrams, so the AI only needs to send a URL pointer instead of long text. It provides three tools (view_plan, view_report, view_diagram) and tracks project changes for diff viewing.

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

Renders JavaScript-heavy pages in a real headless browser so agents can read the content that actually loads, returned as clean markdown, text, or HTML. Also exposes screenshots, page links, and the XHR/fetch calls a page makes, with sign-in sessions, selector scoping, and clear labels for bot checks, login walls, or empty renders.

An MCP server for rendering common ECharts visualizations from structured tool arguments, exposing per-chart opener tools that map to independent HTML app resources.

Enables AI agents to generate and render charts as PNG, SVG, or WebP images directly in chat interfaces. Supports Chart.js specifications and natural language descriptions for creating visualizations from data.

Enables Codex to rank available tools and skills, rerank code and documentation search results, and triage saved output artifacts using Jev-based relevance scoring while leaving final decisions to Codex.

MCP server for amazon.in — cheapest in-stock, best-value picks, and price history links.

An MCP server that connects AI agents to a running Chrome tab via the Chrome DevTools Protocol (CDP), enabling runtime debugging and page inspection.

An MCP relay that adds a use_jev tool to every connected server, letting the Jev model autonomously select and execute tool calls while the calling model supplies any required text values. It enables agents to delegate multi-step tool use across all configured MCP servers through a single unified interface.

Exposes Codex's Chrome plugin as an MCP server, enabling MCP clients to drive a real, logged-in Chrome browser by navigating, snapshotting the DOM, clicking, typing, taking screenshots, running Playwright, and sending raw CDP commands.

Enables AI assistants to remotely control TradingView charts in Chrome, including reading charts, writing and fixing Pine Script, managing watchlists and alerts, and capturing screenshots, all through natural language commands.

Enables controlling a real Chrome browser from MCP hosts like Claude, with extension-based or CDP fallback, supporting tabs, navigation, interaction, and page reading tools.

A Chrome extension-based Model Context Protocol server that enables AI assistants to control your browser, leveraging your existing configurations and login states for complex automation, content analysis, and semantic search.

Enables coding agents to control and inspect a live Chrome browser for reliable automation, in-depth debugging, and performance analysis via Chrome DevTools.

An extension-based MCP server that enables AI assistants to control your browser, leveraging existing sessions and login states for automation and content analysis. It provides over 20 tools for semantic tab search, interactive element manipulation, and network monitoring directly within your daily Chrome environment.

A browser extension that turns Chrome into an AI-controlled automation tool, allowing AI assistants like Claude to control your browser, leverage existing login states, and perform complex tasks through a Model Context Protocol server.

Enables coding agents to control and inspect a live Chrome browser via MCP, providing Chrome DevTools capabilities for automation, debugging, and performance analysis.

A Model Context Protocol server that enables AI assistants to control Chrome browsers through the Chrome DevTools Protocol, allowing for navigation, clicking, typing, and extracting page information.

Enables AI assistants to control and automate your Chrome browser directly, leveraging existing login states and configurations for tasks like content analysis, semantic search across tabs, screenshots, network monitoring, and interactive operations.