4,500+ servers built on MCP Fusion
Vinkius

Microlink MCP. Treat every URL like a programmable API endpoint.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Microlink MCP on Cursor AI Code Editor MCP Client Microlink MCP on Claude Desktop App MCP Integration Microlink MCP on OpenAI Agents SDK MCP Compatible Microlink MCP on Visual Studio Code MCP Extension Client Microlink MCP on GitHub Copilot AI Agent MCP Integration Microlink MCP on Google Gemini AI MCP Integration Microlink MCP on Lovable AI Development MCP Client Microlink MCP on Mistral AI Agents MCP Compatible Microlink MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

Microlink lets your AI agent treat the web like a database. It extracts metadata, captures high-fidelity screenshots, generates clean PDFs from any URL, and runs technical audits against websites.

This server turns unstructured web content into programmable data points for your workflow.

What your AI agents can do

Advanced query

Runs a highly controlled API query against a URL, allowing full parameter customization for advanced scripting tasks.

Extract metadata

Retrieves structured data points—like titles, descriptions, and OpenGraph images—from any specified web address.

Generate pdf

Creates a formatted PDF document from the content of a given website URL, supporting custom scaling and margins.

+ 2 more capabilities included
Extracting Structured Metadata

The agent fetches and formats specific web data—titles, descriptions, social media images, and author details—from any provided link.

Capturing Visual Assets

You take a screenshot of the website. You can specify if you want the full page view or an emulation of a specific device (like an iPhone).

Generating Formal Documents

The agent takes a web URL and produces a clean, formatted PDF document suitable for reports or archives.

Running Technical Audits

You run get_insights to identify the underlying technology stack and generate Lighthouse performance scores for a given site.

Executing Complex Queries

The agent performs advanced browser actions using advanced_query, allowing you to implement ad-blocking or custom JavaScript scripts on a URL.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
Free for Subscribers

Waiting for input…

AI Agent

Microlink MCP Server: 5 Tools for Web Analysis

These five tools let you treat any URL like a programmable API endpoint. Extract structured data, capture visuals, generate documents, and audit performance with your agent.

advanced019e5d35

advanced query

Runs a highly controlled API query against a URL, allowing full parameter customization for advanced scripting tasks.

extract019e5d35

extract metadata

Retrieves structured data points—like titles, descriptions, and OpenGraph images—from any specified web address.

generate019e5d35

generate pdf

Creates a formatted PDF document from the content of a given website URL, supporting custom scaling and margins.

get019e5d35

get insights

Performs technical audits on a URL, providing performance scores (Lighthouse) and identifying underlying web technologies.

take019e5d35

take screenshot

Captures an image of the website. You can select full-page views or emulate specific mobile devices.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on every call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Microlink, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Every connection is secured and compliant automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week

What you can do with this MCP connector

You'll use this server to make your AI client treat any website like it’s a database. It turns unstructured web content into data points you can actually program against. You run the agent against a URL, and it pulls out everything from clean reports to complex scripts.

When you need structured information, extract_metadata fetches specific data fields from any link you provide. It grabs things like the page's normalized title, its description, social media OpenGraph images, and author details. You can pull these distinct pieces of web data into your workflow without having to scrape anything yourself.

Need a visual record? take_screenshot captures an image of the website for you. You don’t just get a simple JPEG; you tell it if you want a full-page view or if you wanna simulate browsing on a specific device, like an iPhone screen. This lets you capture assets that look exactly how they'll appear to a user.

For formal reports, generate_pdf takes the URL and spits out a formatted PDF document. You can specify custom scaling and margins for this output, making it ready to archive or present immediately. It handles the messy web layout and gives you a clean file instead.

To check a site's health, use get_insights. This tool runs technical audits against a URL, providing performance scores based on Lighthouse standards. It also identifies all the underlying technology stack used by the website, so you know exactly what’s powering the page.

For deep automation, advanced_query lets your agent run highly controlled API queries directly against a URL. This is where you go when standard fetching isn't enough. You can customize every parameter for advanced scripting tasks, implementing things like ad-blocking rules or running custom JavaScript scripts on the live page. It gives you full control over how your agent interacts with the site’s content.

Your AI client handles these steps: it takes a URL as input and uses one of the five tools—extract_metadata, take_screenshot, generate_pdf, get_insights, or advanced_query—to execute the specific function. It doesn't guess; it performs the exact action you tell it to perform on that site.

You don't write code for the scraping; you just tell your agent which data point you need, and it handles the connection via Vinkius. You send a single request, and this server returns structured JSON data, an image file, or a ready-to-print PDF, depending on which tool you call.

How Microlink MCP Works

  1. 1 Subscribe to the Microlink MCP Server and provide your API key (if needed).
  2. 2 Direct your AI client to pass a target URL and an explicit request (e.g., 'Run get_insights on this link').
  3. 3 The server executes the tool, returning structured data, image files, or PDFs directly to your agent.

The bottom line is: you use your AI client to call a specific function with a URL, and Microlink handles all the web processing behind the scenes.

Who Is Microlink MCP For?

This server is for technical people who deal with web content daily. If you're constantly copying data from websites or debugging how sites load on different devices, this saves time. It’s built for developers and analysts who need predictable, machine-readable results.

Software Developer

You use get_insights to check a site's performance before deployment or use advanced_query to test how your scripts run against live web elements.

Data Analyst

You feed URLs into the agent, asking it to run extract_metadata to gather structured data for a competitive analysis dashboard at scale.

Content Strategist

You need quick visual assets. You use take_screenshot to grab mobile views of competitor pages and then generate summaries with generate_pdf.

What Changes When You Connect

  • Predictable Data: Stop scraping messy HTML. Use extract_metadata to get clean, structured fields (like OpenGraph titles) that your agent can immediately use in code.
  • Multi-Format Output: Don't just get text. Need a report? Run generate_pdf for professional documents, or use take_screenshot when the visual context matters most.
  • Deep Technical Auditing: Go beyond basic SEO checks. The get_insights tool gives you Lighthouse scores and tells you exactly what technologies are running on the target site.
  • Device Emulation: You don't have to visit three different mobile view links. Use take_screenshot to capture a full-page visual of a site emulating an iPhone or Android viewport directly from your agent.
  • Scriptable Power: When simple extraction fails, use advanced_query. This tool gives you the raw control—ad-blocking, custom scripts—to interact with any web page.
  • Workflow Efficiency: By having all these tools in one place, you can build a single sequence: Query -> Extract Data -> Audit -> PDF Report. It keeps your workflow contained and fast.

Real-World Use Cases

01

Debugging Site Performance

A developer needs to check if the new marketing landing page loads correctly on mobile devices but is slow on desktop. They ask their agent to first run get_insights for performance metrics, and then use take_screenshot specifically emulating a phone viewport so they can visually confirm the layout.

02

Competitive Content Gathering

A content strategist needs metadata from 50 competitor links. Instead of visiting each page, they tell their agent to loop through the URLs and call extract_metadata for every single one, gathering standardized titles and descriptions into a spreadsheet.

03

Automating Quarterly Reports

A data analyst has 10 quarterly report links. They instruct their agent to run generate_pdf on each URL. The agent compiles all 10 PDFs into one zipped folder for easy distribution.

04

Testing Complex Web Interactions

A developer needs to test a feature that only appears after an ad blocker is active. They use advanced_query with the ad-blocking parameter set, bypassing standard browser limitations and confirming the correct DOM elements are available.

The Tradeoffs

Assuming one tool covers everything

Trying to get structured data using only take_screenshot because it's 'visual.' You end up with a JPEG and no usable text.

If you need textual content, always use extract_metadata or advanced_query. Screenshots are for visuals; metadata is for structure.

Ignoring the device context

Generating a PDF using the default view when your client actually needs to see how the page looks on a tablet.

If visual fidelity matters, use take_screenshot and explicitly specify 'tablet' or another viewport size. The tool supports it.

Over-relying on simple browsing

Just asking the agent to 'read the site.' This provides vague summaries but no machine-readable data or audit information.

You must specify the function. If you need performance metrics, call get_insights. If you need specific fields, call extract_metadata.

When It Fits, When It Doesn't

Use this server if your goal is multi-modal web analysis: you need to extract structured data AND capture visuals AND run technical checks. For example: 'Get the metadata, take a mobile screenshot, and generate a PDF report of it.'

Don't use this if:
1. You only need simple text scraping (use basic API calls instead).
2. Your task is purely backend database interaction (use a dedicated database connector).
3. You are building a web service that requires real-time, persistent session state (look at specialized webhook services).

This tool shines when you need to bridge the gap between unstructured HTML content and structured data/visual assets.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Microlink. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

VINKIUS INFRASTRUCTURE

Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on every call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

How we secure it →

Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 5 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

advanced_query extract_metadata generate_pdf get_insights take_screenshot

Web data extraction shouldn't require manual copy-pasting or developer debugging sessions.

Today, getting comprehensive web data is a pain. You pull up a competitor page, open the inspector to check load times, manually grab the title and description from the source code, then take three different screenshots—one for desktop, one for mobile, and one of the specific features section. Copying all that data into a spreadsheet takes forever.

With Microlink's MCP Server, you run it all in one go via your agent. You tell it to `extract_metadata`, giving you clean titles. Then you call `take_screenshot` for mobile and desktop views. The result is not a mess of files; it’s structured data ready for the next step.

Using Microlink MCP Server: full control over web content.

Manual auditing means opening multiple tabs, running different tools (like Wappalyzer), and compiling disparate reports. You lose context between the performance score, the tech stack, and the visual layout.

By using `get_insights` and `advanced_query` together, your agent handles the full lifecycle: it identifies the underlying technologies, runs a Lighthouse audit for metrics like Speed Index, and gives you all that data in one callable sequence. It's complete.

Common Questions About Microlink MCP

How do I get structured metadata using extract_metadata? +

You simply pass the target URL to extract_metadata. The server returns normalized JSON containing titles, descriptions, and OpenGraph images. No parsing is required from your end.

Can I take a screenshot of specific parts using take_screenshot? +

Yes. When calling take_screenshot, you can specify the exact CSS selector or DOM element ID you want to capture, rather than just the full page view.

What is the difference between get_insights and advanced_query? +

get_insights provides standardized reports—the Lighthouse scores and tech stack info. advanced_query gives you raw control, letting you run custom scripts or implement ad-blocking for testing.

How do I make a PDF report using generate_pdf? +

You pass the URL to generate_pdf. You can also specify formatting parameters like margins and scaling within the call, ensuring the final document meets your reporting standards.

What should I use if my calls to `advanced_query` exceed the free usage tier? +

You need an active API key for high-volume processing. If you hit a rate limit, your AI client will receive a specific HTTP 429 error code. This indicates you must wait or upgrade your account access.

How does `take_screenshot` handle multiple device viewports in one request? +

The tool processes one viewport per call, even if you are emulating a device. To get different views (e.g., iPhone and desktop), you must make separate API requests for each desired screen size.

What is the maximum amount of content I can reliably include when running `generate_pdf`? +

While there isn't a strict character limit, complex or extremely long URLs may cause formatting errors. We recommend breaking up massive documents into smaller sections for guaranteed success.

If the target URL is inaccessible when running `extract_metadata`, what error message do I receive? +

The system returns a standardized '403 Forbidden' or similar HTTP status code. This tells your AI agent immediately that the issue is access-related, not an API malfunction.

Can I take a screenshot of a specific element on a page instead of the whole screen? +

Yes! Use the take_screenshot tool and provide a CSS selector in the element parameter. The agent will return a precise capture of just that component.

How do I see what software or frameworks a website is built with? +

Use the get_insights tool with technologies: true. It uses Wappalyzer to identify the CMS, analytics, web servers, and JavaScript frameworks used by the URL.

Can I generate a PDF in a specific paper format like A4? +

Absolutely. Use the generate_pdf tool and specify 'A4' in the format parameter. You can also adjust margins and orientation (landscape/portrait).

More in this category

You might also like

Built & Managed by Vinkius 30s setup 5 tools

We've already built the connector for Microlink. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 5 tools are live and waiting. You're up and running in seconds.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

Zero hosting required Full MCP catalog included Enterprise-grade security Auto-updated by Vinkius

Built, hosted, and secured by Vinkius. You just connect and go.