Guides and insights on making websites queryable by AI agents.
August 10, 2026 · 5 min read
The Model Context Protocol crossed 1 billion total SDK downloads. That means more AI agents are querying documentation sites than ever — and most docs sites still return raw HTML.
August 10, 2026 · 6 min read
WebMCP lets agents call functions on your website. But before an agent can act, it needs to understand what your site offers. That knowledge layer is missing — here's what fills it.
August 9, 2026 · 6 min read
JetBrains AI Assistant now supports MCP in IntelliJ IDEA, WebStorm, PyCharm, and Fleet. Here's how to connect AgentReady so your docs are queryable inside your JetBrains IDE.
August 9, 2026 · 6 min read
VitePress and Nextra power millions of developer docs sites. Add a live MCP endpoint and llms.txt to either platform so AI agents can query your docs with cited answers.
August 7, 2026 · 7 min read
GitHub Copilot code review is now GA with MCP support. Connect AgentReady so Copilot cites your actual documentation when reviewing pull requests — not hallucinated answers.
August 7, 2026 · 8 min read
EU AI Act enforcement started August 2. When AI agents answer questions from your documentation and get it wrong, cited answers create the audit trail that protects you.
August 6, 2026 · 8 min read
If you already have an OpenAPI spec, you're most of the way to an MCP server. Here's how to convert your existing API definition into MCP tools that AI agents can call directly.
August 6, 2026 · 8 min read
MCP servers fail silently in ways that are hard to diagnose. Here's how to use MCP Inspector, structured logging, and protocol tracing to find exactly what's going wrong.
August 5, 2026 · 7 min read
The MCP 2026-07-28 spec eliminates the stateful initialize handshake, making MCP servers deployable behind load balancers, CDNs, and serverless platforms. Here's the architecture.
August 5, 2026 · 7 min read
Shopify, Etsy, Instacart, Target, and Expedia are experimenting with WebMCP. Here's what that means — how AI agents use browser-native tools to search products, check availability, and complete purchases.
August 4, 2026 · 7 min read
A practical comparison of the four main tools for turning documentation into MCP endpoints. Which approach fits your use case — live-fetch, GitHub-native, curated index, or indexed RAG?
August 4, 2026 · 5 min read
Turn any Docusaurus documentation site into a live MCP endpoint that Claude, Cursor, and other AI agents can query with cited answers — no code required.
August 3, 2026 · 9 min read
A complete TypeScript tutorial for building an MCP server from scratch using the official SDK. Covers tool definitions, server setup, local testing with Claude Desktop, and deployment.
August 3, 2026 · 6 min read
Convert any public docs site into a queryable MCP endpoint for Claude, Cursor, and AI agents — no code required. Step-by-step guide from URL to live endpoint in under 2 minutes.
July 30, 2026 · 8 min read
The MCP 2026-07-28 spec is now live. It's the biggest protocol revision since launch. Here's a concrete migration guide: what breaks, what to add, and the order to do it in.
July 30, 2026 · 6 min read
AI agents are only as good as the knowledge they query. When indexed content goes stale, agents hallucinate, cite outdated info, or fail to answer questions about new features. Here's how to think about freshness and keep agent answers accurate.
July 26, 2026 · 7 min read
MCP and A2A both power AI agent infrastructure but solve completely different problems. Here's the practical distinction, when you need each, and how they work together in multi-agent systems.
July 26, 2026 · 8 min read
Researchers disclosed ShareLock — a new MCP attack that splits malicious instructions across multiple tool descriptions using Shamir's secret sharing, evading every existing scanner. Here's how it works.
July 25, 2026 · 6 min read
WebMCP is in a public Chrome origin trial running through Chrome 156. Here's how to enroll, what agent clients actually call WebMCP tools today, and the right investment level right now.
July 25, 2026 · 7 min read
MCP is expanding beyond text. The 2026 roadmap adds image, video, audio, and structured data types to tool responses. Here's what multimodal MCP means and how to prepare your docs site.
July 23, 2026 · 7 min read
The NSA released official hardening guidelines for MCP deployments in July 2026. Here's what the guidance covers and which recommendations apply to MCP server developers.
July 23, 2026 · 6 min read
The MCP 2026-07-28 spec introduces a formal 3-tier deprecation policy with 12–24 month notice windows. Here's what's already deprecated and what to do before July 28.
July 22, 2026 · 7 min read
The MCP 2026-07-28 spec stabilizes EMA — a centralized OAuth-based auth layer for MCP servers adopted by Anthropic, Microsoft, and Okta. Here's how it works and what it means for your deployment.
July 22, 2026 · 8 min read
MCP servers are a new attack surface. Here's how prompt injection, tool poisoning, and mid-session tool injection (MSTI) work against MCP-connected agents — and what to do about it.
July 21, 2026 · 6 min read
MCP Apps is a new extension in the 2026-07-28 spec that lets MCP servers render interactive UI components — cards, tables, forms, confirmations — directly inside AI agent interfaces.
July 21, 2026 · 7 min read
The MCP 2026-07-28 spec adds a Tasks extension for long-running operations. Here's how it works, what infrastructure it requires, and when to use it instead of synchronous tool calls.
July 20, 2026 · 7 min read
Anthropic transferred stewardship of the Model Context Protocol to the AAIF. Here's what changed, what the new enterprise auth means, and why community governance is the right call.
July 20, 2026 · 6 min read
Chrome 149 ships a WebMCP DevTools panel in the Application tab. Here's what it shows, how to use it to debug your exposed tools, and what it reveals about how agents interact with your site.
July 19, 2026 · 8 min read
A developer-focused explanation of what AI agents are, how they actually work — the reasoning loop, tool calls, memory types, and where they break down.
July 19, 2026 · 9 min read
A step-by-step tutorial for building a Model Context Protocol server in Python using the official MCP SDK — expose tools, resources, and prompts to any MCP client.
July 15, 2026 · 6 min read
VS Code added native MCP support in GitHub Copilot agent mode. Here's how to connect AgentReady so Copilot can query any indexed documentation without leaving your editor.
July 15, 2026 · 6 min read
Claude Code supports MCP servers natively. Add AgentReady once and query any indexed documentation directly from your terminal session — no browser, no tab switching.
July 14, 2026 · 6 min read
Step-by-step guide to adding MCP servers in Windsurf so Cascade can query any website, documentation, or knowledge source directly inside your editor.
July 14, 2026 · 5 min read
Stop ctrl+F-ing through npm READMEs. Index any npm package's docs in AgentReady and ask natural language questions from Claude, Cursor, or any AI editor.
July 13, 2026 · 8 min read
Every major AI coding tool supports MCP differently. A practical comparison of transports, discovery, tool support, and how to connect AgentReady to each client.
July 13, 2026 · 6 min read
You don't need to migrate platforms or rebuild your docs to add MCP. Four options — from zero-code hosted service to DIY RAG — so you can pick what fits your stack and timeline.
July 12, 2026 · 8 min read
Three approaches to building a docs chatbot that actually works — DIY RAG pipeline, hosted MCP service, or hybrid custom UI. Covers crawling, chunking, freshness, and citations.
July 12, 2026 · 7 min read
AI agents can call REST APIs directly or use MCP tools — but they behave very differently. Here's when to use each and why documentation and knowledge queries always belong in MCP.
July 12, 2026 · 6 min read
MCP has two ways to expose data to agents: Tools and Resources. They look similar but have different semantics, different use cases, and different behaviour in agent reasoning loops.
July 12, 2026 · 9 min read
A step-by-step guide to building a Model Context Protocol server using Next.js App Router route handlers — so any AI agent can call your tools via HTTP.
July 10, 2026 · 8 min read
Exposing tools via MCP introduces new attack surfaces — prompt injection, tool scope creep, missing auth, and rate limit gaps. Here's what to audit before you go live.
July 10, 2026 · 7 min read
Google's A2A protocol and Anthropic's MCP both power AI agent ecosystems — but they solve completely different problems. Here's the practical difference and when you need each.
July 9, 2026 · 6 min read
llms.txt is the emerging standard for making your website readable by AI agents. Here's exactly how to create one, what to put in it, and why it matters for AI discoverability.
July 9, 2026 · 7 min read
MCP and function calling both give AI agents access to tools and data — but they solve very different problems. Here's the practical difference and when to use each.
July 8, 2026 · 10 min read
We benchmarked web_fetch against AgentReady across 42 sites: JS SPAs, static docs, multi-page pricing, and bot-blocked sites. AgentReady covers more facts and produces 50% fewer hallucinations. Here's how the four-layer crawl pipeline works.
July 8, 2026 · 8 min read
Three approaches to giving AI agents access to your content — fine-tuning, RAG, and MCP. Here's what each one actually does, what it costs, and when to use it.
July 8, 2026 · 7 min read
Most API references are invisible to AI agents. Here's why — and the practical steps to make your API docs answerable by Claude, Cursor, and any MCP client.
July 7, 2026 · 7 min read
Running your own MCP server gives you full control. A hosted service gives you zero ops. Here's the honest trade-off — and how to decide which one is right for your use case.
July 7, 2026 · 6 min read
AI agents using web_fetch get empty pages from React, Next.js, and Vue apps. Here's exactly why JavaScript SPAs break agent tooling — and the approaches that actually work.
July 6, 2026 · 7 min read
MCP and RAG are both used to give AI agents access to external knowledge — but they solve different problems. Here's the practical difference and when to use each.
July 6, 2026 · 6 min read
Indexed documentation goes stale the moment your site updates. Learn how freshness signals and the refresh_site MCP tool let AI agents know when to re-index — and how to trigger it.
July 2, 2026 · 4 min read
A step-by-step guide to indexing your documentation so Claude, Cursor, and any MCP client can answer questions about it.
July 2, 2026 · 5 min read
A plain-English breakdown of llms.txt and the Model Context Protocol — what each one does, when to use them, and whether you need both.
July 2, 2026 · 6 min read
Most documentation is structured for humans, not AI agents. Here's why that matters and what you can do about it today.
July 2, 2026 · 5 min read
Set up AgentReady's MCP server in Claude Desktop and ask questions about any indexed website without leaving your workflow.
July 2, 2026 · 7 min read
A plain-English guide to the Model Context Protocol — what MCP servers are, how they connect to AI agents, and when you'd want to build or use one.
July 2, 2026 · 6 min read
The difference between keyword search and AI-powered semantic search for documentation — and how to add the latter to any site without building a RAG pipeline.
July 2, 2026 · 5 min read
Set up MCP in Cursor to query any indexed documentation without switching tabs. Step-by-step guide with AgentReady.
July 2, 2026 · 8 min read
How retrieval-augmented generation works for documentation, what it takes to build, and when to use a hosted service instead.
July 2, 2026 · 6 min read
A practical checklist for making your documentation queryable by AI agents — from llms.txt to MCP indexing to sitemap optimization.
July 2, 2026 · 6 min read
What happens when an AI agent tries to access a website — crawling, context windows, tool calls, and why most sites are effectively invisible to agents.
July 2, 2026 · 7 min read
A practical guide for SaaS founders and developer tools companies to make their documentation accessible to AI agents — without building infrastructure.
July 2, 2026 · 6 min read
WebMCP brings MCP to the browser — no local subprocess, no config files. Here's what it is, how it works, and why it matters for AI agent tooling.
July 2, 2026 · 5 min read
A practical comparison of WebMCP (HTTP+SSE) and classic stdio MCP — when to use each, the trade-offs, and how to decide for your use case.
July 2, 2026 · 5 min read
A step-by-step guide to connecting WebMCP servers from Claude.ai and other browser-based MCP clients — no installation, no config files.
July 3, 2026 · 7 min read
AI assistants confidently give wrong answers about your API. Here's the exact technical reason why — and what you can do about it today.
July 3, 2026 · 6 min read
A curated list of MCP servers that let AI agents query, search, and interact with documentation — from hosted indexes to self-hosted RAG tools.
July 3, 2026 · 8 min read
From building a RAG pipeline yourself to using a hosted service — an honest breakdown of your options for adding AI-powered search to your docs.
July 4, 2026 · 7 min read
Our benchmark of 37 developer sites found web_fetch produces 3x more high-confidence wrong answers than indexed RAG. Here's why — and what to do about it.
July 4, 2026 · 6 min read
The MCP 2026-07-28 Release Candidate drops the initialize handshake, adds server/discover, goes stateless, and requires new headers. Here's what changes and what breaks.
July 5, 2026 · 7 min read
Kapa, GitBook AI, and MCP-native indexed RAG solve different problems. Here's how to choose between them based on what your agents and users actually need.
July 5, 2026 · 6 min read
WebMCP handles how agents connect to your server. RAG handles what they find when they get there. Here's why you need both — and what each one actually does.