What is LAM-mcp copilot-instructions.md?

Instructions for a browser-automation MCP server built with Python and Selenium, a tool for controlling web browsers through code. It supports navigation, page interaction, content extraction, screenshots, JavaScript, cookies, multiple browsers, and session-based page analysis.

Use it to navigate websites, fill forms, click elements, scrape page content, capture screenshots, run JavaScript, and manage browser sessions.

It lets an AI coding client automate browser tasks and use stored page context to find relevant sections and elements.

How Gafoor2005/LAM-mcp configures GitHub Copilot

Reuse

Borrowing it

Nothing to install: this file belongs to Gafoor2005/LAM-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/Gafoor2005/LAM-mcp/main/.github/copilot-instructions.md

Clone the repo

git clone --depth 1 https://github.com/Gafoor2005/LAM-mcp

Made for: GitHub Copilot.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/gafoor2005/lam-mcp/copilot-instructions/github.svg)](https://agentmods.dev/instructions/gafoor2005/lam-mcp/copilot-instructions)

Your own site

<a href="https://agentmods.dev/instructions/gafoor2005/lam-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/gafoor2005/lam-mcp/copilot-instructions/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/gafoor2005/lam-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/gafoor2005/lam-mcp/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 802 This file is loaded in full into every session.

When invoked 802 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00802	$0.00802
Opus 5.5	$0.00321	$0.00321
Sonnet 5.5	$0.00160	$0.00160
Haiku 4.5	$0.00080	$0.00080

Measured 2mo ago against content hash 2beffd6d524a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

LAM-mcp copilot-instructions.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.github/copilot-instructions.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Browser Automation MCP Server

This project provides a Model Context Protocol (MCP) server for browser automation using Python and Selenium WebDriver, enabling intelligent web interactions with session-based context analysis.

Features

Web navigation and page interactions
Element clicking, typing, and form handling
Page content extraction and scraping
Screenshot capture
JavaScript execution
Cookie and session management
Multi-browser support (Chrome, Firefox, Edge)
Headless and headed browser modes
Session-based context analysis for smart element identification
Semantic search to find relevant page sections
Context-aware element suggestions with confidence scores
Progress tracking for automation sessions

Setup

Install Python dependencies: uv add mcp selenium webdriver-manager chromadb sentence-transformers
Install browser drivers automatically via webdriver-manager
Configure the server in your MCP client (Claude Desktop, VS Code, etc.)

Tools Available

Session Context Intelligence

analyze_current_page: Analyze page structure and store in session context
find_page_context: Find relevant page sections for your task using semantic search
get_smart_element_selector: Get elements with surrounding context for better identification
track_action_result: Track actions and success/failure in current session
get_session_progress: View session statistics, actions taken, and success rate
clear_session_context: Clear session memory and start fresh

Core Automation

navigate_to_url: Navigate to a specific URL
click_element: Click on page elements by selector
type_text: Type text into input fields
extract_text: Extract text content from elements
take_screenshot: Capture page screenshots
execute_javascript: Run JavaScript code
get_page_source: Get full HTML source
fill_form: Fill out web forms
scroll_page: Scroll the page
wait_for_element: Wait for elements to appear
get_cookies: Retrieve page cookies
set_cookies: Set browser cookies

Read the full file on GitHub · 99 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 99 lines · 802 tokens per session scan A 2beffd6d524a

Subscribe to this mod's changes

LAM-mcp copilot-instructions.md is an instructions file published in the GitHub repository Gafoor2005/LAM-mcp (0 stars, last pushed 6mo ago), licensed MIT. It adds 802 tokens to every session, about $0.0032 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Browser automation

LAM-mcp copilot-instructions.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
LAM-mcp copilot-instructions.mdGafoor2005/LAM-mcp	Instructions file	0	6mo ago	MIT	A	802	GitHub Copilot
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	9,719	GitHub Copilot
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	5,516	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	today	MIT	A	4,680	Codex, OpenCode
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	3,093	GitHub Copilot
vscode model-prompts.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	2,022	GitHub Copilot

LAM-mcp: Instructions file for GitHub Copilot