MCP Server Examples and Use Cases: A Practical Developer Guide
Explore practical MCP server examples, choose tools, resources, or prompts, and build a server that connects safely to AI hosts.
How to Use Gemini for AI-Powered Web Scraping
Use Gemini URL Context for known pages and Google Search grounding for discovery, then validate structured results in your own code.
AI Agents: Definition and How They Work
Learn what AI agents are, how their tool-using loop works, how they differ from chatbots, and how to build safer, reliable agent workflows.
How to Choose a Web Scraping Format for AI and RAG
Choose Markdown for readable page content, JSON for known fields, and HTML when markup matters. Then match your scrape or crawl to the pages your RAG pipeline needs.
How to Automate Browser Tasks With Computer Use
Build a bounded computer-use loop that observes a browser, executes approved actions, and verifies results. Includes code, safety controls, and troubleshooting.
Connecting AI Agents to Image Generation APIs with MCP
Connect an AI agent to an image-generation API with MCP: architecture, transports, tool design, image outputs, security, code, and troubleshooting.
AI Browser Agents: How to Use Them with Cloud Browsers
Connect an AI agent to a hosted browser, choose a deployment pattern, and handle sessions, compatibility, security, debugging, and screenshots.
Search APIs for AI Agents and LLMs: A Practical Guide
Compare search results with model-ready context, then choose a retrieval workflow that fits your agent, attribution needs, and budget.
How to Let a Coding Agent Build a Scraping Workflow
Give a coding agent a clear data contract, safe access boundaries, and staged checks to build a scraping workflow you can review and maintain.
Devin Desktop: AI-Assisted Software Development
Learn what Devin Desktop is, how its agent workflow works, what it costs, and how to evaluate it safely in a real software team.
Web Scraping for RAG: LangChain and Browser Automation
Build a grounded LangChain RAG scraper, choose HTTP or Playwright, secure browser tools, and automate clean captures with ScreenshotNeo.
How to Return Structured Search Results for AI Agents
Design a provider-neutral search result schema with reliable citations, validation, normalization, and production troubleshooting for AI agents.
How to Build a Web Scraping Agent with an LLM
Build a reliable LLM scraping agent with a guarded crawl pipeline, typed extraction, evidence, validation, and a runnable Python example.
Permissioned Data Access with Browser Automation
Learn how to grant browser agents narrow, revocable access to protected data with the right OAuth flow, token controls, and practical safeguards.
Web Access for AI Agents: Search, Markdown, and Browser Automation
Learn when AI agents should use search, APIs, Markdown extraction, or browser automation—and how to combine them reliably.
Using Browser Automation with LangChain
Connect LangChain to Playwright or computer-use workflows, choose the right control model, and secure browser agents before exposing them to users.
What Is an MCP Server and How to Build One
Learn what an MCP server does, how tools, resources and prompts work, and how to build, secure and connect one to AI clients.
Cline: Open-Source AI Coding Assistant
Learn how Cline plans and executes coding tasks across your editor, terminal and browser, with model choices, approvals, costs and privacy explained.