What can puppeteer-mcp-server do?

headless-browser-automation-via-mcp, page-navigation-and-content-retrieval, dom-element-interaction-and-selection, screenshot-and-visual-capture, javascript-execution-and-page-evaluation, wait-and-synchronization-primitives, cookie-and-session-management, mcp-server-lifecycle-and-connection-management

puppeteer-mcp-server

MCP ServerFree

Experimental MCP server for browser automation using Puppeteer (inspired by @modelcontextprotocol/server-puppeteer)

Open Source

/ 100

8 capabilities

Capabilities8 decomposed

headless-browser-automation-via-mcp

Medium confidence

Exposes Puppeteer browser automation capabilities through the Model Context Protocol (MCP), allowing LLM agents and tools to control headless Chrome/Chromium instances via standardized MCP tool calls. Implements a server that translates MCP function-calling schemas into Puppeteer API invocations, enabling remote browser control without direct library imports.

Solves for

I want my LLM agent to navigate websites and extract data without writing custom API wrappersI need to automate browser interactions (clicks, form fills, navigation) as part of an AI workflowI want to expose browser automation to multiple LLM clients through a single standardized interface

Best for

AI agents and LLM applications requiring web scraping or browser interaction

Teams building multi-agent systems where browser automation is a shared capability

Developers integrating Puppeteer into Claude or other MCP-compatible LLM platforms

Requires

Node.js 14+ (Puppeteer requirement)

MCP-compatible client (Claude, custom LLM application, or MCP inspector)

Chromium/Chrome binary (auto-downloaded by Puppeteer on first run, ~150-300MB)

Limitations

Headless-only execution — no native support for rendering visual interactions in real browsers

Single browser instance per server connection — concurrent requests require connection pooling or multiple server instances

Network latency between MCP client and server adds overhead compared to direct Puppeteer library usage

What makes it unique

Wraps Puppeteer as an MCP server rather than a direct library, enabling LLM agents to invoke browser automation through standardized tool-calling protocols without managing browser lifecycle or connection pooling themselves

vs alternatives

Provides MCP-native browser automation (compatible with Claude and other MCP clients) whereas direct Puppeteer requires custom API wrappers and manual integration into LLM tool schemas

page-navigation-and-content-retrieval

Medium confidence

Implements MCP tools for navigating to URLs, waiting for page load completion, and extracting page content (HTML, text, metadata). Uses Puppeteer's page.goto() with configurable wait conditions (networkidle, load, domcontentloaded) and exposes page.content() and page.evaluate() for flexible content extraction.

Solves for

I want to navigate to a URL and wait for the page to fully load before extracting dataI need to get the full HTML or rendered text content of a webpageI want to extract specific metadata (title, description, canonical URL) from a page

Best for

Web scraping workflows where page load timing is critical

LLM agents that need to read and analyze web content

Automated testing or monitoring scenarios requiring page state verification

Requires

Valid URL (http/https)

Network connectivity from the server to the target domain

Timeout configuration (default typically 30s, configurable per request)

Limitations

Wait conditions (networkidle) can timeout on slow or continuously-loading pages (e.g., infinite scroll, WebSocket streams)

JavaScript-heavy SPAs may require explicit wait-for-selector or wait-for-navigation calls beyond standard load events

No built-in handling for authentication or cookie persistence across navigation calls

What makes it unique

Exposes Puppeteer's page.goto() and content extraction through MCP tool schemas with configurable wait conditions, allowing LLM agents to specify load strategies (networkidle vs domcontentloaded) without managing browser state directly

vs alternatives

More flexible than simple HTTP clients (handles JavaScript rendering) and more accessible than raw Puppeteer (no Node.js library dependency in the LLM client, works via MCP protocol)

dom-element-interaction-and-selection

Medium confidence

Provides MCP tools for querying DOM elements via CSS selectors or XPath, clicking elements, filling form inputs, and extracting element properties. Implements Puppeteer's page.$(selector), page.$$(selector), and element.evaluate() patterns, with error handling for missing elements and stale references.

Solves for

I want to click a button or link identified by a CSS selectorI need to fill out a form by setting input values and submittingI want to extract text or attributes from specific DOM elements

Best for

Automated form submission and data entry workflows

Web scraping with precise element targeting

Testing or monitoring workflows requiring specific UI interaction

Requires

Valid CSS selector or XPath expression

Element must be present in DOM (not hidden by display:none or visibility:hidden by default)

Element must be clickable/interactable (not obscured by overlays, unless handled by Puppeteer's click strategy)

Limitations

Selector-based interaction is fragile — page layout changes break selectors without error recovery

No built-in retry logic for elements that appear after animations or async rendering

XPath support depends on Puppeteer version; complex XPath expressions may have performance overhead

What makes it unique

Wraps Puppeteer's element query and interaction methods (page.$, page.click, page.type) as discrete MCP tools, allowing LLM agents to compose multi-step interactions (find element → extract property → click → wait) without managing Puppeteer's page object

vs alternatives

More granular than Selenium (which requires explicit driver management) and more accessible than raw Puppeteer (no JavaScript knowledge required from LLM client, works via tool schemas)

screenshot-and-visual-capture

Medium confidence

Implements MCP tools for capturing full-page or viewport screenshots as PNG/JPEG, with options for clipping to specific regions or elements. Uses Puppeteer's page.screenshot() with configurable quality, format, and clip parameters, returning base64-encoded image data for transmission via MCP.

Solves for

I want to capture a screenshot of the current page state for visual verificationI need to extract a visual snapshot of a specific region or elementI want to monitor visual changes in a webpage over time

Best for

Visual regression testing or monitoring workflows

LLM vision models that need to analyze page layouts or UI state

Debugging browser automation workflows by inspecting rendered output

Requires

Page must be loaded and rendered

Optional: valid CSS selector or clip coordinates for region capture

Sufficient memory for image encoding (large pages may cause memory spikes)

Limitations

Base64 encoding adds ~33% overhead to image data size, increasing MCP message payload

Screenshots capture rendered state at a single moment — no support for video/animation capture

Clipping to elements requires element references or coordinates — no semantic region detection

What makes it unique

Exposes Puppeteer's screenshot capability through MCP with base64 encoding, enabling LLM vision models to analyze rendered page state without requiring direct image file access or external storage

vs alternatives

More efficient than HTTP-based screenshot APIs (no round-trip to external service) and more flexible than static HTML snapshots (captures actual rendered output including CSS, fonts, images)

javascript-execution-and-page-evaluation

Medium confidence

Provides MCP tools for executing arbitrary JavaScript in the page context via page.evaluate(), allowing LLM agents to run custom scripts, extract computed properties, or trigger page-specific logic. Returns serialized JavaScript values (primitives, objects, arrays) with error handling for non-serializable results.

Solves for

I want to extract computed CSS properties or JavaScript state from the pageI need to run custom JavaScript to interact with a single-page applicationI want to check if a specific condition is true on the page (e.g., element visibility, data loaded)

Best for

Advanced web scraping requiring JavaScript-based data extraction

SPA automation where standard DOM queries are insufficient

Conditional logic in browser automation workflows

Requires

Valid JavaScript code as a string

Page must be loaded and ready for script execution

Return value must be JSON-serializable (primitives, objects, arrays only)

Limitations

JavaScript execution is sandboxed to the page context — cannot access Node.js APIs or external resources

Return values must be JSON-serializable — functions, DOM nodes, and circular references cause errors

No access to browser DevTools Protocol (CDP) features like performance metrics or network interception

What makes it unique

Exposes Puppeteer's page.evaluate() as an MCP tool, allowing LLM agents to execute arbitrary JavaScript without managing the Puppeteer page object or handling serialization/deserialization

vs alternatives

More powerful than DOM-only queries (can access JavaScript state and computed properties) but requires LLM to generate valid JavaScript, unlike higher-level tools that abstract away code generation

wait-and-synchronization-primitives

Medium confidence

Implements MCP tools for waiting on page conditions (selector visibility, navigation completion, network idle, timeout-based delays) using Puppeteer's page.waitForSelector(), page.waitForNavigation(), and page.waitForFunction(). Enables LLM agents to synchronize browser state with automation logic without polling.

Solves for

I want to wait for a specific element to appear before interacting with itI need to wait for a page navigation to complete after clicking a linkI want to wait for dynamic content to load before extracting data

Best for

Automation workflows with asynchronous page updates (AJAX, WebSockets)

Scenarios requiring precise synchronization between actions and page state

Flaky test prevention by waiting for expected conditions rather than fixed delays

Requires

Valid CSS selector (for waitForSelector) or navigation trigger

Timeout value in milliseconds (default typically 30s)

Page must be in a state where the condition is possible (e.g., element not permanently hidden)

Limitations

Timeout-based waits can mask underlying issues — no diagnostic info on why condition wasn't met

waitForNavigation() can be unreliable if navigation happens before the wait is registered

No support for custom wait conditions beyond selector visibility and navigation — complex conditions require page.waitForFunction()

What makes it unique

Exposes Puppeteer's wait primitives (waitForSelector, waitForNavigation, waitForFunction) as discrete MCP tools, allowing LLM agents to compose synchronization logic without managing Promise chains or async/await

vs alternatives

More reliable than fixed-delay sleeps (responds to actual page state changes) and more accessible than raw Puppeteer (no Promise or async JavaScript knowledge required from LLM client)

cookie-and-session-management

Medium confidence

Provides MCP tools for getting, setting, and deleting cookies via page.cookies() and page.setCookie(), enabling session persistence and authentication workflows. Stores cookies in memory per browser instance or optionally persists to external storage for cross-session reuse.

Solves for

I want to set authentication cookies to access protected pagesI need to persist session state across multiple page navigationsI want to clear cookies to simulate a fresh browser session

Best for

Authenticated web scraping or automation workflows

Multi-step workflows requiring session persistence

Testing scenarios that need to simulate different user states

Requires

Cookie name, value, and domain

Page must have navigated to the target domain before setting cookies

Optional: cookie attributes (expires, httpOnly, secure, sameSite)

Limitations

Cookies are stored in memory per browser instance — no built-in persistence across server restarts

No support for cookie encryption or secure storage — sensitive tokens are visible in memory

Cannot set cookies for domains not yet visited (Puppeteer restriction) — requires navigation first

What makes it unique

Wraps Puppeteer's cookie management API as MCP tools, enabling LLM agents to handle authentication and session state without direct browser object access or manual cookie serialization

vs alternatives

More flexible than HTTP-only cookie handling (supports domain-specific cookies and attributes) but requires manual cookie management logic in the LLM agent (no automatic refresh or expiration handling)

mcp-server-lifecycle-and-connection-management

Medium confidence

Implements the MCP server protocol for browser automation, handling client connections, tool registration, and request/response serialization. Uses Node.js MCP SDK to expose Puppeteer capabilities as standardized MCP tools, with automatic browser instance creation and cleanup on client disconnect.

Solves for

I want to connect my LLM client to a browser automation server via MCP protocolI need to discover available browser automation tools from the MCP serverI want the server to clean up browser resources when my client disconnects

Best for

Integrating browser automation into Claude or other MCP-compatible LLM platforms

Building multi-client systems where browser automation is a shared service

Teams standardizing on MCP for tool integration across AI applications

Requires

MCP-compatible client (Claude, custom application with MCP SDK)

Network connectivity between client and server (stdio, HTTP, or WebSocket transport)

Node.js 14+ with MCP SDK installed

Limitations

Single browser instance per server connection — concurrent requests from the same client are serialized

No built-in load balancing or connection pooling — multiple clients require multiple server instances

MCP protocol overhead (JSON serialization, network latency) adds latency vs direct library usage

What makes it unique

Implements the full MCP server protocol for Puppeteer, handling client lifecycle, tool schema registration, and request routing without requiring clients to manage browser state or Puppeteer dependencies

vs alternatives

Standardizes browser automation through MCP (compatible with Claude and other MCP clients) whereas custom REST APIs require client-specific integration code and lack tool discovery

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

Related Artifactssharing capabilities

Artifacts that share capabilities with puppeteer-mcp-server, ranked by overlap. Discovered automatically through the match graph.

MCP Server26

Browserbase

** - Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more)

dom-aware element targeting and interactioncloud-based browser automation via mcp

2 shared capabilities

MCP Server28

@hisma/server-puppeteer

Fork and update (v0.6.5) of the original @modelcontextprotocol/server-puppeteer MCP server for browser automation using Puppeteer.

dom-element-interaction-and-manipulationheadless-browser-automation-via-mcp

2 shared capabilities

MCP Server20

Puppeteer

** - Browser automation and web scraping.

headless-browser-automation-via-mcpweb-page-navigation-and-interaction

2 shared capabilities

MCP Server26

puppeteer-mcp-server

Experimental MCP server for browser automation using Puppeteer (inspired by @modelcontextprotocol/server-puppeteer)

dom-element-interaction-and-queryingheadless-browser-automation-via-mcp

2 shared capabilities

MCP Server26

@mseep/puppeteer-mcp-server

Experimental MCP server for browser automation using Puppeteer (inspired by @modelcontextprotocol/server-puppeteer)

dom-element-interaction-via-selectorsheadless-browser-automation-via-mcp

2 shared capabilities

MCP Server25

@todoforai/puppeteer-mcp-server

Experimental MCP server for browser automation using Puppeteer (inspired by @modelcontextprotocol/server-puppeteer)

page-navigation-and-interactionheadless-browser-automation-via-mcp

2 shared capabilities

Best For

✓AI agents and LLM applications requiring web scraping or browser interaction
✓Teams building multi-agent systems where browser automation is a shared capability
✓Developers integrating Puppeteer into Claude or other MCP-compatible LLM platforms
✓Web scraping workflows where page load timing is critical
✓LLM agents that need to read and analyze web content
✓Automated testing or monitoring scenarios requiring page state verification
✓Automated form submission and data entry workflows
✓Web scraping with precise element targeting

Known Limitations

⚠Headless-only execution — no native support for rendering visual interactions in real browsers
⚠Single browser instance per server connection — concurrent requests require connection pooling or multiple server instances
⚠Network latency between MCP client and server adds overhead compared to direct Puppeteer library usage
⚠Limited to Puppeteer's supported browser versions (Chromium-based only, no Firefox/Safari support)
⚠Wait conditions (networkidle) can timeout on slow or continuously-loading pages (e.g., infinite scroll, WebSocket streams)
⚠JavaScript-heavy SPAs may require explicit wait-for-selector or wait-for-navigation calls beyond standard load events

Requirements

Node.js 14+ (Puppeteer requirement)MCP-compatible client (Claude, custom LLM application, or MCP inspector)Chromium/Chrome binary (auto-downloaded by Puppeteer on first run, ~150-300MB)Valid URL (http/https)Network connectivity from the server to the target domainTimeout configuration (default typically 30s, configurable per request)Valid CSS selector or XPath expressionElement must be present in DOM (not hidden by display:none or visibility:hidden by default)

Input / Output

Accepts: MCP tool call with string parameters (URLs, selectors, text input), JSON-serialized browser action specifications, URL string, Wait condition enum (networkidle0, networkidle2, load, domcontentloaded), Optional timeout in milliseconds, CSS selector string, XPath expression string, Text input value (for form filling), Element index (for multiple matching elements), Format enum (png, jpeg), Quality number (0-100, JPEG only), Optional clip object (x, y, width, height), Optional selector for element-based clipping, JavaScript code string, Optional arguments array (passed to the script function), Selector string (for element wait), Timeout in milliseconds, Optional: JavaScript function string (for custom conditions), Cookie object (name, value, domain, path, expires, httpOnly, secure, sameSite), Cookie name (for deletion), MCP tool call with parameters, MCP resource request (if resources are exposed)

Produces: HTML/text content extracted from pages, Screenshots as base64-encoded PNG/JPEG, Structured JSON responses (page title, element text, form data), HTML string (full page markup), Plain text (rendered text content), JSON object with page metadata (title, URL, status code), Boolean (success/failure of interaction), String (extracted text or attribute value), JSON object (element properties: tag, class, id, attributes), Base64-encoded PNG or JPEG string, Image metadata (width, height, format), JSON-serializable value (string, number, boolean, object, array), Error message if script throws or returns non-serializable value, Boolean (condition met or timeout), Element reference or null (if selector-based wait), Error message if timeout exceeded, Array of cookie objects (for get operation), Boolean (success/failure of set/delete operation), MCP tool result (JSON-serialized response), MCP error response (if tool execution fails)

UnfragileRank

Adoption28%(25% weight)

Quality31%(25% weight)

Ecosystem40%(15% weight)

Match Graph25%(30% weight)

Freshness75%(5% weight)

UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.

Type: MCP Server

8 capabilities

Visit puppeteer-mcp-server→

Repository Details

Package Details

npm

Registry

0.7.2

Version

1,274

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About

Experimental MCP server for browser automation using Puppeteer (inspired by @modelcontextprotocol/server-puppeteer)

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Capabilities8 decomposed

headless-browser-automation-via-mcp

Medium confidence

Solves for

Best for

AI agents and LLM applications requiring web scraping or browser interaction

Teams building multi-agent systems where browser automation is a shared capability

Developers integrating Puppeteer into Claude or other MCP-compatible LLM platforms

Requires

Node.js 14+ (Puppeteer requirement)

MCP-compatible client (Claude, custom LLM application, or MCP inspector)

Chromium/Chrome binary (auto-downloaded by Puppeteer on first run, ~150-300MB)

Limitations

Headless-only execution — no native support for rendering visual interactions in real browsers

Single browser instance per server connection — concurrent requests require connection pooling or multiple server instances

Network latency between MCP client and server adds overhead compared to direct Puppeteer library usage

What makes it unique

vs alternatives

Provides MCP-native browser automation (compatible with Claude and other MCP clients) whereas direct Puppeteer requires custom API wrappers and manual integration into LLM tool schemas

page-navigation-and-content-retrieval

Medium confidence

Solves for

Best for

Web scraping workflows where page load timing is critical

LLM agents that need to read and analyze web content

Automated testing or monitoring scenarios requiring page state verification

Requires

Valid URL (http/https)

Network connectivity from the server to the target domain

Timeout configuration (default typically 30s, configurable per request)

Limitations

Wait conditions (networkidle) can timeout on slow or continuously-loading pages (e.g., infinite scroll, WebSocket streams)

JavaScript-heavy SPAs may require explicit wait-for-selector or wait-for-navigation calls beyond standard load events

No built-in handling for authentication or cookie persistence across navigation calls

What makes it unique

vs alternatives

More flexible than simple HTTP clients (handles JavaScript rendering) and more accessible than raw Puppeteer (no Node.js library dependency in the LLM client, works via MCP protocol)

dom-element-interaction-and-selection

Medium confidence

Solves for

I want to click a button or link identified by a CSS selectorI need to fill out a form by setting input values and submittingI want to extract text or attributes from specific DOM elements

Best for

Automated form submission and data entry workflows

Web scraping with precise element targeting

Testing or monitoring workflows requiring specific UI interaction

Requires

Valid CSS selector or XPath expression

Element must be present in DOM (not hidden by display:none or visibility:hidden by default)

Element must be clickable/interactable (not obscured by overlays, unless handled by Puppeteer's click strategy)

Limitations

Selector-based interaction is fragile — page layout changes break selectors without error recovery

No built-in retry logic for elements that appear after animations or async rendering

XPath support depends on Puppeteer version; complex XPath expressions may have performance overhead

What makes it unique

vs alternatives

More granular than Selenium (which requires explicit driver management) and more accessible than raw Puppeteer (no JavaScript knowledge required from LLM client, works via tool schemas)

screenshot-and-visual-capture

Medium confidence

Solves for

Best for

Visual regression testing or monitoring workflows

LLM vision models that need to analyze page layouts or UI state

Debugging browser automation workflows by inspecting rendered output

Requires

Page must be loaded and rendered

Optional: valid CSS selector or clip coordinates for region capture

Sufficient memory for image encoding (large pages may cause memory spikes)

Limitations

Base64 encoding adds ~33% overhead to image data size, increasing MCP message payload

Screenshots capture rendered state at a single moment — no support for video/animation capture

Clipping to elements requires element references or coordinates — no semantic region detection

What makes it unique

Exposes Puppeteer's screenshot capability through MCP with base64 encoding, enabling LLM vision models to analyze rendered page state without requiring direct image file access or external storage

vs alternatives

More efficient than HTTP-based screenshot APIs (no round-trip to external service) and more flexible than static HTML snapshots (captures actual rendered output including CSS, fonts, images)

javascript-execution-and-page-evaluation

Medium confidence

Solves for

Best for

Advanced web scraping requiring JavaScript-based data extraction

SPA automation where standard DOM queries are insufficient

Conditional logic in browser automation workflows

Requires

Valid JavaScript code as a string

Page must be loaded and ready for script execution

Return value must be JSON-serializable (primitives, objects, arrays only)

Limitations

JavaScript execution is sandboxed to the page context — cannot access Node.js APIs or external resources

Return values must be JSON-serializable — functions, DOM nodes, and circular references cause errors

No access to browser DevTools Protocol (CDP) features like performance metrics or network interception

What makes it unique

Exposes Puppeteer's page.evaluate() as an MCP tool, allowing LLM agents to execute arbitrary JavaScript without managing the Puppeteer page object or handling serialization/deserialization

vs alternatives

More powerful than DOM-only queries (can access JavaScript state and computed properties) but requires LLM to generate valid JavaScript, unlike higher-level tools that abstract away code generation

wait-and-synchronization-primitives

Medium confidence

Solves for

Best for

Automation workflows with asynchronous page updates (AJAX, WebSockets)

Scenarios requiring precise synchronization between actions and page state

Flaky test prevention by waiting for expected conditions rather than fixed delays

Requires

Valid CSS selector (for waitForSelector) or navigation trigger

Timeout value in milliseconds (default typically 30s)

Page must be in a state where the condition is possible (e.g., element not permanently hidden)

Limitations

Timeout-based waits can mask underlying issues — no diagnostic info on why condition wasn't met

waitForNavigation() can be unreliable if navigation happens before the wait is registered

No support for custom wait conditions beyond selector visibility and navigation — complex conditions require page.waitForFunction()

What makes it unique

vs alternatives

More reliable than fixed-delay sleeps (responds to actual page state changes) and more accessible than raw Puppeteer (no Promise or async JavaScript knowledge required from LLM client)

cookie-and-session-management

Medium confidence

Solves for

I want to set authentication cookies to access protected pagesI need to persist session state across multiple page navigationsI want to clear cookies to simulate a fresh browser session

Best for

Authenticated web scraping or automation workflows

Multi-step workflows requiring session persistence

Testing scenarios that need to simulate different user states

Requires

Cookie name, value, and domain

Page must have navigated to the target domain before setting cookies

Optional: cookie attributes (expires, httpOnly, secure, sameSite)

Limitations

Cookies are stored in memory per browser instance — no built-in persistence across server restarts

No support for cookie encryption or secure storage — sensitive tokens are visible in memory

Cannot set cookies for domains not yet visited (Puppeteer restriction) — requires navigation first

What makes it unique

Wraps Puppeteer's cookie management API as MCP tools, enabling LLM agents to handle authentication and session state without direct browser object access or manual cookie serialization

vs alternatives

mcp-server-lifecycle-and-connection-management

Medium confidence

Solves for

Best for

Integrating browser automation into Claude or other MCP-compatible LLM platforms

Building multi-client systems where browser automation is a shared service

Teams standardizing on MCP for tool integration across AI applications

Requires

MCP-compatible client (Claude, custom application with MCP SDK)

Network connectivity between client and server (stdio, HTTP, or WebSocket transport)

Node.js 14+ with MCP SDK installed

Limitations

Single browser instance per server connection — concurrent requests from the same client are serialized

No built-in load balancing or connection pooling — multiple clients require multiple server instances

MCP protocol overhead (JSON serialization, network latency) adds latency vs direct library usage

What makes it unique

vs alternatives

Standardizes browser automation through MCP (compatible with Claude and other MCP clients) whereas custom REST APIs require client-specific integration code and lack tool discovery

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

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puppeteer-mcp-server

Capabilities8 decomposed

headless-browser-automation-via-mcp

page-navigation-and-content-retrieval

dom-element-interaction-and-selection

screenshot-and-visual-capture

javascript-execution-and-page-evaluation

wait-and-synchronization-primitives

cookie-and-session-management

mcp-server-lifecycle-and-connection-management

Related Artifactssharing capabilities

Browserbase

@hisma/server-puppeteer

Puppeteer

puppeteer-mcp-server

@mseep/puppeteer-mcp-server

@todoforai/puppeteer-mcp-server

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

Repository Details

Package Details

About

Categories

Alternatives to puppeteer-mcp-server

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puppeteer-mcp-server

Capabilities8 decomposed

headless-browser-automation-via-mcp

page-navigation-and-content-retrieval

dom-element-interaction-and-selection

screenshot-and-visual-capture

javascript-execution-and-page-evaluation

wait-and-synchronization-primitives

cookie-and-session-management

mcp-server-lifecycle-and-connection-management

Related Artifactssharing capabilities

Browserbase

@hisma/server-puppeteer

Puppeteer

puppeteer-mcp-server

@mseep/puppeteer-mcp-server

@todoforai/puppeteer-mcp-server

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

Repository Details

Package Details

About

Categories

Alternatives to puppeteer-mcp-server

Are you the builder of puppeteer-mcp-server?

Get the weekly brief

Data Sources