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About isWebMCP

isWebMCP analyzes public website source code to identify gaps that prevent AI agents from reliably performing tasks. It generates clear recommendations and starter code for exposing actions like search, compare, and add to cart as typed tools. The tool provides before-and-after reports to verify changes, enabling developers to compare source findings directly from their terminal or CI pipeline. isWebMCP operates without requiring sign-in, JavaScript execution, or browser cookies, and it stores only sanitized URL paths and outcomes for 90 days. It does not execute tools or deploy changes, focusing instead on source-level checks and verifiable evidence. The platform includes a proof lab that demonstrates how structured action surfaces reduce the number of steps an AI agent must take to complete tasks such as finding products, comparing them, and adding items to a cart. It distinguishes between presence, readiness, success, and safety states for actions, ensuring transparency in what an AI agent can reliably accomplish.

Key features

  • Source code analysis for identifying AI agent gaps
  • Starter code for search-tool adapters and accessible search forms
  • Before-and-after comparison reports
  • Developer toolkit for terminal and CI integration
  • Proof lab for controlled task demonstrations
  • Separation of presence, readiness, success, and safety states
  • Ledger of findings with exact, sanitized evidence links
  • Interaction pattern exploration tools

Use cases

  • Auditing websites to expose structured actions for AI agents
  • Generating and verifying code changes to improve AI agent task completion
  • Comparing baseline UI-only journeys with structured WebMCP journeys

Pros

  • Generates actionable recommendations and starter code for exposing structured actions
  • Provides before-and-after reports for verifying changes via terminal or CI
  • Operates without requiring sign-in, JavaScript, or cookies
  • Includes a proof lab demonstrating reduced agent steps for common tasks
  • Separates evidence types to avoid conflating source, runtime, and inferred data

Cons

  • Experimental status with no guarantees of universal performance gains
  • Limited to public pages and source-only analysis
  • No runtime execution or deployment capabilities
  • Requires manual review and application of generated code

Frequently asked questions about isWebMCP

What does isWebMCP do?

isWebMCP analyzes public website source code to identify gaps that prevent AI agents from reliably performing tasks. It provides clear recommendations and starter code for exposing actions like search, compare, and add to cart as typed tools, along with before-and-after reports to verify changes.

Who is isWebMCP for?

The tool is designed for developers and teams who want to make their websites more accessible to AI agents. It helps ensure that AI agents can reliably interact with websites by exposing structured actions and verifying their readiness.

Does isWebMCP require sign-in or cookies?

No, isWebMCP operates without requiring sign-in, JavaScript execution, or browser cookies. It only analyzes public source code and stores sanitized URL paths and outcomes for 90 days.

How do I get started with isWebMCP?

Enter your website's public URL on the isWebMCP website to run a check. The tool will analyze the source code and provide a report with recommendations and starter code for exposing actions as typed tools.

Does isWebMCP execute tools or deploy changes to my website?

No, isWebMCP does not execute tools or deploy changes. It focuses solely on source-level checks and provides verifiable evidence to help developers make informed changes.

What kind of actions can isWebMCP help expose?

isWebMCP helps expose common actions such as search, compare, and add to cart as typed tools. It identifies gaps in the source code that prevent AI agents from reliably performing these tasks and provides recommendations for fixes.

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