"Exploring Computer Usage" matching MCP servers:

Local-first MCP server for storing and managing project architecture, modules, data flow, and usage examples with complete privacy.

Provides AI models with structured design guidelines and system prompts for creating consistent, high-quality interactive visualizations like charts, diagrams, and mockups. It enables on-demand loading of UI specifications to optimize token usage while ensuring visually polished and functional widget generation.

An MCP server for querying and exploring SysML XMI models, specifically designed for MTConnect model exports. It allows users to search for packages, classes, and enumerations while providing tools for analyzing documentation and inheritance hierarchies.

Enables AI coding assistants to drive spec-driven development through slash-command workflows for planning, exploring, implementing, updating, and finalizing changes, with local daemon and project registry support.

A demonstration MCP server for exploring MCP prompts with 10 reusable development prompts.

Enables AI agents to query Salesforce DX projects through MCP with compressed component specs, full-text search, dependency relations, annotations, and an interactive architecture map, drastically reducing token usage.

Provides precise AST-based code search and structural intelligence across Vue, Astro, and React/Next projects, including component usage audits, dependency trees, route scanning, state impact tracing, and dead component detection.

Multi-stack scaffolding engine for generating production-ready module structures (NestJS, Java Spring, Python FastAPI) directly from an MCP-compatible AI client, reducing token usage for boilerplate code.