119 boosters for "rag" — AI-graded, open source, ready to install
Magic is an MCP server that enables AI assistants to build and preview UIs in real-time across Cursor, Windsurf, and Claude platforms. It's useful for developers who want to leverage AI for rapid frontend prototyping and UI generation.
Enables cross-platform code intelligence by bridging JavaScript/Web Dev patterns into Flutter development using MCP-first search and analysis. Useful for developers building cross-platform applications who need to leverage web development knowledge in mobile/desktop contexts.
A MCP proxy that bridges Claude with JetBrains IDEs (IntelliJ, PyCharm, etc.), enabling developers to leverage IDE capabilities directly within Claude conversations. This benefits IDE users who want to integrate their development environment with AI assistance.
Graphlit MCP Server integrates the Graphlit knowledge graph platform with Claude, enabling developers to build AI agents with RAG capabilities, document parsing, and intelligent retrieval. It's ideal for teams building document-heavy AI applications, knowledge management systems, and enterprise AI agents.
A collection of cursor-specific helper rules and guidelines designed to streamline Unity development workflows. Ideal for Unity developers using Cursor who want to leverage AI-assisted coding with context-aware best practices.
🧠 LLM-Driven Intelligent Memory & Context Management System （AI记忆管理与智能上下文感知平台） AI记忆管理平台 | 智能上下文感知 | RAG检索增强生成 | 向量检索引擎
BrowserStack's Official MCP Server enables AI assistants to automate browser testing, accessibility checks, and cross-platform quality assurance directly within Claude. Developers using BrowserStack can leverage AI to orchestrate complex testing workflows without leaving their coding environment.
Heuristic scoring (no AI key configured).
Provides quick-start guidance and code examples for integrating Upstash Vector, a high-performance vector database, into TypeScript applications. Developers building RAG systems, semantic search, or embedding-based features will benefit from this unified entry point.
Rijksmuseum MCP Server provides Claude with integrated access to the Rijksmuseum's artwork collection for exploration and analysis. It enables developers and researchers to build AI-powered applications that leverage museum data.
A conceptual Copilot prompt framework proposing an accounting-based alternative to traditional banking for U.S. Treasury deployment, leveraging game theory and geometric algebra principles.
A creative prompt booster that encourages Claude to identify interconnected patterns in code and systems with three intensity levels (hit/party/trip). Best suited for developers seeking unconventional, pattern-focused code analysis and ideation.
This MCP server enables AI coding agents to analyze test coverage from LCOV files, making them coverage-aware while optimizing token usage. It's valuable for developers using Claude Desktop or Code who want to improve code quality by integrating coverage insights into their AI-assisted workflows.
A code review agent that delivers direct, pragmatic feedback using Linus Torvalds' philosophy and a structured 5-layer analysis framework, helping developers improve code quality through data structures, logic flow, performance, and maintainability.
Automates HWPX document operations (loading, navigation, editing, validation) and handles repetitive tasks like bulk text replacement, paragraph/table insertion, and header/footer configuration. Beneficial for Korean document professionals and developers working with HWP format files.
A comprehensive tutorial chapter teaching developers how to build and deploy intelligent AI agents with tool use and automation capabilities in AnythingLLM. Ideal for engineers looking to add autonomous workflows and function-calling to their self-hosted RAG systems.
Extracts structured datasets from academic papers by leveraging OpenAlex search and citation graph traversal. Researchers and AI scientists benefit from automating literature review and dataset creation workflows.
An agent for optimizing compiler configurations and build processes across Claude code and desktop platforms. It helps developers improve compilation performance by leveraging library patterns and existing implementations.
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.
A workflow automation agent that leverages library-first principles to reuse and adapt existing components for agent tasks across Claude Code and Desktop platforms. Developers building multi-step automation solutions benefit from its structured approach to code reuse and pattern compliance.
A Claude agent for automating data preprocessing tasks with library-first constraints and access to file operations and bash execution. Useful for developers building data pipelines who want to leverage Claude's capabilities with existing component libraries.
A FastAPI-based MCP server that connects Copilot to lead generation APIs while enforcing clean architecture and SOLID principles for maintainable prospect prospecting workflows. Ideal for developers building AI-assisted B2B sales tools.
Autarch Agent System is a multi-agent architecture that orchestrates AI workflows across scoping, research, planning, execution, and review stages, enabling developers to leverage AI for structured, traceable code generation and codebase analysis at scale.
Transforms rough prompts into production-ready LLM prompts using advanced techniques like Chain-of-Thought and RAG optimization. Ideal for developers, AI engineers, and teams building LLM applications who need to craft effective prompts across Claude, GPT, Llama, and other models.
