68 boosters for "client" — open source, verified from GitHub, ready to install
Cursor Rules for the Whop CLI wrapper that establishes a shared mental model for projects integrating @whoplabs/whop-client, helping developers maintain SDK contracts and avoid reimplementing authentication/networking logic. Benefits CLI developers building on top of the Whop SDK.
Copilot Instructions for a modern Nostr client application built with React, TailwindCSS, and Nostrify, providing developers with tech stack overview and project structure guidance. Developers working on or contributing to the catallax-reference-client project benefit from these instructions.
A prompt-based MCP server that enables Claude and ChatGPT to execute cURL commands directly, ideal for developers who need to integrate HTTP requests into their AI workflows.
A Copilot prompt providing technical documentation for a Nostr-based React client application with gig-economy features. Useful for developers building on the catallax bounty platform.
This Cursor rules booster optimizes React component performance by promoting server-side rendering, lazy loading, and resource efficiency. It's ideal for developers building Next.js/React applications who want to reduce client-side overhead and improve load times.
Heuristic scoring (no AI key configured).
Cursor rules for managing async client-side data with TanStack Query, providing developers with structured guidance on queries, mutations, and cache invalidation in React applications.
es-fetch-api is a lightweight, middleware-based wrapper around the native fetch API that simplifies HTTP requests in JavaScript/TypeScript projects. It benefits developers building Node.js or browser applications who need composable, chainable request handling.
Sockethub bridges web applications to IRC, XMPP, and RSS/Atom feeds using ActivityStreams, enabling developers to build protocol-agnostic messaging clients and real-time communication tools.
This MCP server integrates OR-Tools optimization capabilities into Claude, enabling developers to solve linear programming and optimization problems directly through Claude Code and Claude Desktop. It benefits developers, data scientists, and operations researchers who need to build optimization features into AI-powered applications.
API-Client is a Copilot instruction set that helps developers test and debug APIs directly from VS Code with request storage, colorized output, and CLI commands. It benefits backend developers, API testers, and anyone who frequently works with HTTP endpoints.
Clara is a privacy-focused, client-side WebUI for interacting with LLMs without any backend infrastructure or data leaks. Developers and privacy-conscious users who want complete control over their AI conversations benefit from this tool.
A comprehensive MCP server providing 67+ temporal intelligence tools including timezone conversions, 247+ country holidays, business time calculations, and astronomical events for AI assistants. Developers building applications requiring robust date/time handling, scheduling systems, or multi-timezone support will find significant value.
Clem is a full-stack developer agent that helps you implement, maintain, and optimize both backend and frontend systems—from API endpoints and database optimization to React components and authentication. Perfect for developers tackling end-to-end feature development, refactoring, or architectural decisions.
This skill enables long-running deep research queries via Perplexity's API without triggering client timeouts, solving a real integration problem for Claude Code users who need extended research capabilities.
An MCP server that enables Claude to search French train schedules and information via the Navitia API, benefiting travelers and developers building travel applications.
An expert agent for building production-ready MCP servers and clients in Go, helping developers leverage the Model Context Protocol SDK with deep architectural knowledge and best practices.
kube-audit-kit automates read-only Kubernetes security audits by exporting resources, sanitizing metadata, and generating PSS/NSA-compliant reports. DevOps engineers and security teams use it to assess cluster security posture without modifying cluster state.
This MCP server enables AI assistants to read, search, and interact with any MediaWiki wiki (Wikipedia, internal wikis, etc.), allowing LLMs to access and leverage wiki content programmatically. Developers and organizations using MediaWiki instances benefit from seamless AI integration for knowledge retrieval and automation.
