35 boosters for "lms" — AI-graded, open source, ready to install
A system prompt that guides LLMs to analyze Factorio game implementations and generate detailed natural language plans for achieving objectives. Useful for developers creating AI-driven game planning systems or educational tools.
A PHP SDK for building AI agents with structured outputs and multi-agent orchestration, enabling developers to decompose complex tasks into specialized subagents with isolated contexts and independent execution.
Dinox MCP Server enables Claude to understand images through advanced object detection, localization, and captioning by connecting to the DINO-X vision model. Developers building multimodal AI applications benefit from seamless integration of real-world visual perception into LLM workflows.
Widget MCP is an MCP server that enables LLMs to render interactive UI widgets within Claude Desktop and Claude Code environments. It's useful for developers building enhanced AI experiences with custom interfaces.
RagCode MCP is a semantic code navigation tool that integrates RAG-powered code search into Windsurf and other IDEs, enabling developers to intelligently query and understand multi-language codebases using local LLMs. It's ideal for developers working with Laravel, Go, Python, and PHP who need fast, context-aware code exploration without leaving their IDE.
This MCP server enables Claude and other LLMs to authenticate with AWS via SSO and securely execute AWS CLI commands using temporary credentials. It's valuable for developers and DevOps teams who want AI-assisted AWS resource management without embedding long-lived credentials.
This MCP server dynamically exposes Swagger/OpenAPI endpoints as callable tools for Claude and other LLMs, enabling AI agents to seamlessly integrate with REST APIs without manual tool definition. Developers building LLM applications that need to interact with documented APIs benefit most from this adapter.
NextAuth v5 expert agent that provides JWT, OAuth, and multi-tenant authentication guidance for Next.js applications with role-based access control. Ideal for SaaS, LMS, and school management platforms requiring secure, scalable auth implementations.
TaskFlow Platform cursor rules enable multi-tenant human-agent task orchestration with support for Claude, Gemini, and other LLMs through structured prompt engineering. Developers building agent-based systems, multi-tenant applications, and complex task workflows benefit from pre-configured rules that standardize agent behavior across platforms.
THOR Skills is a router skill for LLMs that guides users through THOR security scanner operations—from running scans and analyzing logs to troubleshooting and writing plugins. It's valuable for security professionals, forensic analysts, and DevOps teams working with THOR malware scanning on endpoints.
Heuristic scoring (no AI key configured).
A TypeScript MCP server booster for integrating the ReviewWebsite API with Windsurf, providing CLI tools, validation schemas, and structured patterns for AI-assisted development. Ideal for developers building AI-powered review applications or extending Windsurf with ReviewWebsite capabilities.
ArmBench-LLM is a system prompt for benchmarking large language models using Armenian character-to-numeric matching tasks. It's designed for developers evaluating LLM performance across multiple coding platforms.
Dreamfactory MCP Server enables Claude to access governed APIs across any enterprise data source through DreamFactory's self-hosted platform, benefiting enterprise developers and LLM integrators needing secure, standardized data access.
ArmBench-LLM is a system prompt framework for evaluating large language models on Armenian language tasks through structured multiple-choice questions. It's designed for developers and AI researchers who need standardized benchmarking tools across popular coding assistants and chat platforms.
MCP Server to convert Figma Design to pseudo-code like structure - simple yet efficient for LLMs to understand design context.
The MCP TypeScript SDK enables developers to build and integrate Model Context Protocol servers and clients, allowing applications to provide standardized context to LLMs. It's essential for developers building AI-powered applications that need to expose resources, tools, and prompts in a protocol-compliant way.
Node Code Sandbox MCP enables AI agents and LLMs to safely execute JavaScript code, install npm packages, and test implementations in real-time. Developers building coding assistants, automated testing tools, and interactive AI applications benefit from this secure, MCP-compliant execution environment.
A system prompt that guides LLMs to act as rigorous sustainability and risk analysts for Polkadot governance proposals, evaluating treasury allocations through investment frameworks, fiscal precedent, and accountability mechanisms.
Intent Kit provides Cursor rules for building hierarchical intent-driven Python workflows with LLMs, enabling developers to create structured, context-aware automation systems. It's useful for developers building complex AI-driven applications that require intent classification and conditional execution.
gllm is a system prompt that transforms LLMs into code-first orchestrators for efficient task processing, enabling developers to handle large files and complex workflows through programmatic verification rather than context-heavy text generation.
An MCP server that integrates llmstxt documentation fetching into Claude Desktop and Claude Code, enabling developers to access and reference documentation within their AI-assisted workflows.
An MCP server that enables LLMs to inspect, test, and debug other MCP servers, helping developers validate and troubleshoot their MCP implementations. Ideal for MCP developers, AI agents, and anyone building or integrating multiple MCP servers.
Clara – A privacy-first, client-side AI assistant WebUI for LLMs. No backend, no data leaks. Keep your conversations completely yours, If you like it, Don't Forget to Give a Star 🌟
