"Prop Amp (Proportional Amplifier) Information" matching MCP servers:

Enables MCP-compatible coding harnesses to read Amp threads as Markdown, with pagination and filtering options, through a read-only interface.

An MCP server that gives Claude persistent, locally-stored memory with verification-gated lessons and a Pattern Oracle to prevent unverified guesses from becoming ingrained facts.

Provides developer-focused documentation and tools for building applications on Amp, a high-performance blockchain ETL system. Includes guides, schemas, code examples, and troubleshooting resources for querying and transforming blockchain data.

Enables local, stdio-based MCP bridging to supervise Amp coding agents, with tools to spawn, read, send to, and list Amp threads so a supervisor agent can manage turn-based workflows while humans retain approval.

Analyzes JSX prop usage in React/TypeScript codebases using AST parsing, enabling prop usage tracking, component analysis, and TypeScript support.

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

Analyzes JSX component prop usage in React/JSX codebases, enabling detection of specific props, missing props, and substring matching for prop values.

A production-ready FastMCP server template with modular architecture for building MCP servers with organized tools, resources, and prompts, featuring container support and AI agent documentation system.

Semantic React/TSX analysis MCP server that saves 70-90% tokens by using AST to retrieve precise component usages, prop flow, and state update information for AI coding assistants.

MCP server for MetricUI — a React dashboard component library. Provides AI coding tools with full API references, working examples, format suggestions, prop validation, and complete dashboard scaffolding for building analytics UIs.

A standalone MCP server that provides AI assistants with comprehensive access to BrowserStack's design system components, enabling component search, detailed prop analysis, and usage examples from Storybook.

Search and retrieve information from Apple's complete developer documentation, including API references, code examples, and Human Interface Guidelines, across all Apple platforms and versions.

A Model Context Protocol server that fetches up-to-date, version-specific documentation and code examples from libraries directly into LLM prompts, helping developers get accurate answers without outdated or hallucinated information.

An MCP server that provides AI agents with accurate, system-clock-backed date, time, timezone, and interval information to avoid hallucinations.

A developer-focused server that exposes information from VW vehicles via a Model Context Protocol (MCP) interface. This project is designed for integration, automation, and experimentation with connected car data.

An AST-based MCP server that provides token-efficient codebase skeletons to LLM agents, reducing context token usage by 80-95% by exposing structural information instead of full source files.

Enables AI assistants to search JLCPCB's 450K+ electronic component catalog with real-time stock levels and pricing, supporting keyword search, filtering, and detailed component information.

Provides AI agents with environmental sensing capabilities including current time, IP-based geolocation, system information, and hardware details. Enables more contextual and accurate AI responses based on user's environment.

Provides AI assistants with access to University of Alabama at Birmingham's Research Computing documentation, enabling users to search and retrieve information about the Cheaha HPC cluster, SLURM job scheduling, storage systems, and available software tools.

Provides access to Apple's official developer documentation, frameworks, APIs, and WWDC session transcripts across all Apple platforms. It enables AI assistants to search technical guides, sample code, and platform compatibility information using natural language queries.