Get MCP server environment details: version info for server, FastMCP, MCP protocol, and Python runtime. Use for debugging and compatibility checks.
Apache 2.0
523,478 tools. Updated 2026-09-06 13:32
"A Python-based server for browser automation" matching MCP tools:
- Launch a browser profile and get automation endpoints (Puppeteer/Playwright WebSocket, Selenium, debug port) to start driving pages immediately.MIT
- Verify browser automation availability for LinkedIn profile updates, returning status and feature capabilities.MIT
- Guides setup and use of agent-browser CLI for automated browser tasks like navigating pages, clicking, and capturing console errors in a real browser.MIT
- Scans workspace to identify Python automation project: dependencies, test runner, test roots, virtual envs, browser library, page-object dirs, CI config. Read-only, evidence-based, no code execution.MIT
- Refreshes private ticket cache locally using Python 3 and authenticated gws CLI as a fallback for offline ticket automation.MIT
Matching MCP Servers
- AlicenseAqualityDmaintenanceMCP server for AI browser automation with tools for navigation, actions, data extraction, and scripting, supporting local and cloud execution.14512Apache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables MCP clients to run complete browser workflows through a single run_workflow tool, with anti-detection backends, intelligent element location, automatic retries, and session persistence.MIT
Matching MCP Connectors
Hosted real Google Chrome MCP with per-user persistent state. Navigate, click, type, screenshot.
Run multi-step tasks in a real Chrome browser: persistent environments, live view, human takeover.
- Creates API connections for managed connectors such as azureblob or sql. For OAuth-based connectors, generates a consent link for browser authorization; for parameter-based, supplies connection parameters.MIT
- Create parallel browser sessions to run multiple browser instances simultaneously for tasks like data scraping, automation, A/B testing, or batch processing with independent cookies and state.Apache 2.0
- Create parallel browser sessions to run multiple browser instances simultaneously for data scraping, automation, A/B testing, or batch processing tasks requiring independent sessions.Apache 2.0
- Automate web application testing with Playwright browser automation. Load and interact with pages in real browsers to detect runtime errors, hydration issues, and client-side problems.MIT
- Generate characterization tests for a Python class method to lock its behavior. Outputs pytest code with fixture-based instance setup for safe refactoring.Apache 2.0
- Export the currently selected Ableton Live track to a specified folder using GUI automation. Requires macOS accessibility permissions for Terminal/Python integration.MIT
- Retrieve Browser[X]MCP server performance metrics and statistics to monitor health and optimize browser automation.MIT
- Identify the active browser for cookie-based authentication to enable video playback control on YouTube and TikTok through the social-video-mcp server.MIT
- Verify server and browser health, including active tabs, to confirm the automation environment is ready.MIT
- Verify server liveness and browser state to ensure the anti-detection browser automation system is responsive.MIT
- Run persistent Python desktop automation to control X11 apps, batch actions, verify results, and get UI evidence via observe.MITDestructive
- Execute JavaScript in a Firefox tab for browser automation. Blocks cookie and storage extraction.MIT
- Builds the Ember app for testing and starts a local server to run browser-based tests. Specify port and working directory as needed.MIT
- Install a Python version on your Panelica server to enable Python applications. Specify the version in the request to set up the runtime.MIT
- Close the automation browser while keeping your login profile intact. End browser sessions without losing authentication for future backtests.-