Announcing install.md: Precision-Guided SDK Integration for AI Coding Agents

Today, we're excited to introduce install.md, a platform that transforms how AI coding agents integrate third-party SDKs, libraries, and APIs into codebases. Built specifically for the era of AI-powered development, install.md delivers structured, contextual guidance through live MCP (Model Context Protocol) servers that adapt to each agent's specific needs and codebase context.

The Problem: When Documentation Fails AI Agents

Traditional documentation wasn't designed for AI agents. When a coding agent like Claude Code or GitHub Copilot encounters a new SDK integration, it faces several critical challenges:

Information Overload: Complete API documentation dumps thousands of methods, endpoints, and configurations into the agent's context window. This creates noise that obscures the essential integration steps.

Context Blindness: Static docs can't adapt to the agent's current codebase. An agent working with a React TypeScript project gets the same generic instructions as one building a Python Flask app.

Zero Feedback Loop: There's no visibility into how agents actually navigate integration processes. Which steps cause confusion? Where do they get stuck? How long does a typical integration take?

Sequential Chaos: Documentation often presents information in reference format rather than logical implementation order, leaving agents to piece together the correct sequence independently.

Without a new approach, we're just feeding slop to pigs who will gladly slurp up anything.

Feature Overview: Precision-Guided Integration

install.md solves these problems through a comprehensive platform designed specifically for AI agent workflows:

Simple Step Editor for Precise Guides

At the heart of install.md is an intuitive step editor that lets you craft sequential, contextual integration guides. Each step is purpose-built for agents:

• Structured Instructions: Clear, actionable steps that agents can follow methodically
• Contextual Branching: Different paths based on framework, language, or existing dependencies
• Validation Points: Built-in checkpoints to ensure each step completed successfully
• Team Collaboration: Invite team members and manage permissions

Advanced Supporting Tools Built-In

Every install.md project comes with powerful built-in tools optimized for AI consumption:

fetch(url) - MCP-Optimized Content Retrieval

• Automatically converts HTML documentation to clean Markdown format
• Processes images and PDFs into base64 for seamless agent consumption
• Intelligent content extraction that focuses on relevant technical details

search(query) - Intelligent Documentation Search

• Automatic RAG (Retrieval-Augmented Generation) over your added data sources
• Searches across Git repositories, crawled websites, and resource URLs (JSON, CSV, PDF)
• Context-aware results that understand the agent's current integration phase

Real-Time Analytics Into Agent Activity

install.md provides unprecedented visibility into how AI agents actually use your integration guides:

• Flow Sequence Analysis: Track which steps agents complete, skip, or struggle with
• Usage Patterns: Understand peak integration times, popular tools, and common pathways
• Agent Identification: See which AI systems are using your guides and how they differ in behavior
• Performance Metrics: Monitor integration completion rates and time-to-success

Additional "Tips" for Flexible Context

Beyond sequential steps, install.md supports free-form "tips" that provide:

• Troubleshooting guidance for common issues
• Best practices that don't fit into linear workflows
• Framework-specific optimizations
• Performance considerations and gotchas

Live MCP Server Delivery

Each install.md project automatically generates a live, remote MCP server that agents can connect to instantly:

• Zero Setup: Agents connect via simple MCP server URLs (e.g., install.md/stripe/js-sdk)
• Global Distribution: Edge CDN & caching ensure low-latency access worldwide
• Real-Time Updates: Changes to guides propagate immediately to all connected agents
• Helpful Getting Started Page: we host a helpful overview page for users to get started with your project.

(e.g. 👉 https://install.md/installmd/admin-mcp-onboarding)

Admin MCP Server for Guide Management

install.md includes a dedicated Admin MCP server that lets you manage guides without leaving your development environment:

• Create and Edit: Build integration guides directly through MCP tools
• Data Source Management: Add Git repositories, crawl websites, or upload resources
• Build into CI/CD: Add your favorite coding agent and MCP configuration to your CI/CD to continuously diff & update your install.md project when your library or existing docs change.

Try it now!: Sign up, join a Team (work or personal) and create an API Key, then use the Admin MCP server in your favorite code agent:

claude add mcp installmd-admin \
  --transport http https://install.md/mcp/admin \
  --header "Authorization: Bearer $YOUR_API_KEY"

(This will kickstart the creation of your own install.md project, using the agent's active codebase.)

This saves human users from manually typing extensive step sequences while ensuring guides remain optimized for AI agent consumption.

Built for the Future of AI Development

install.md represents a fundamental shift in how we think about developer documentation. Rather than treating AI agents as an afterthought, we've built a platform that puts their unique needs at the center.

As AI coding agents become increasingly sophisticated, they need tools that match their capabilities. install.md provides the structured, contextual, and measurable integration experience that enables agents to work at their full potential.

Ready to transform how AI agents integrate with your SDK? Visit install.md to get started, or explore our website to learn more about building precision-guided integration experiences.