"Step-by-step guide to breaking down a request into parts" matching MCP servers:

Provides AI assistants with access to visionOS development articles from stepinto.vision, enabling browsing, retrieving, and searching content with AI-ready formats.

Read-only MCP server for finding, comparing, and shortlisting engineering parts from distributor and marketplace APIs.

A comprehensive MCP server for managing PocketBase database schemas and migrations via REST API. It enables users to generate and execute migrations for creating, modifying, and deleting collections and fields directly through MCP-compatible clients.

Enables searching current used car, truck, and motorcycle parts in the US, resolving vehicles via VIN, and retrieving part listings with source attribution, through read-only MCP tools.

MCP server that transforms raw log query results into structured incident reports (Markdown, JSON, HTML) with correlation to git commits and tickets.

Enables structured, iterative reasoning for complex problem-solving with features like confidence tracking, revision mechanisms, and branching support. Provides flexible validation and multiple output formats for systematic analysis and decision-making tasks.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Guides users to official WCAG and W3C resources for learning web accessibility, without providing its own explanations.

Improves AI agent task performance by providing task area segmentation, hierarchical RAG, and hybrid search capabilities.

MCP server for the StepSecurity platform that enables investigating supply-chain and CI/CD security issues through natural language.

MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.

Provides comprehensive GraphQL introspection, filtering, and query/mutation execution with safety controls. Enables AI agents to explore and interact with GraphQL APIs through natural language.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

Provides comprehensive design principles and best practices to help LLMs generate modern, accessible web pages through guidance on layouts, colors, and typography. It enables users to review design approaches and access expert recommendations for responsive design, component structure, and current industry trends.

A Model Context Protocol server that converts Markdown content to HTML format.

Turns any OpenAPI REST or GraphQL API into an MCP server, allowing AI assistants like Claude to interact with APIs without writing code.

Transforms Figma design data into a compact, LLM-friendly format for code generation, reducing size by 99.5% while preserving UI-critical information.

Provides AI agents with deep visibility into a running web page's UI by capturing DOM, styles, and screenshots through a lightweight bookmarklet. It facilitates design-to-code comparisons, accessibility audits, and automated CSS debugging directly within an IDE.

A bridge that enables any LLM to access and interact with documented REST APIs through the Model Context Protocol (MCP).

Enables converting Markdown text into clean HTML for headings, lists, code blocks, tables, links, and images, with optional full-document wrapping via x402 micropayments.