22 boosters for "retrieval" — AI-graded, open source, ready to install
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.
This MCP Server integrates Naver Search API with Claude, enabling AI assistants to perform Korean web searches, trend analysis, and data retrieval. It's valuable for developers building AI applications targeting Korean markets or requiring Korean-language search capabilities.
Recall automatically searches across memory sources when users make vague references to past conversations, helping an AI assistant reconstruct context without guessing. Ideal for users who frequently reference earlier discussions and need reliable context retrieval.
Leghis Smart Thinking is an MCP server that enables fast retrieval and lookup of Smart-Thinking memories, allowing users to quickly find relevant context and fetch complete entries by ID. Developers and knowledge workers benefit from rapid access to structured memory/note systems integrated with Claude.
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.
An MCP server that enables Claude to interact with SuiteCRM's JSON API (v8), allowing users to automate CRM operations like data retrieval, updates, and integration workflows directly through Claude.
An MCP Server that enables Claude to execute SQL queries and interact with databases (PostgreSQL via Sequelize). Developers building AI applications that need database access will find this useful for data retrieval and manipulation tasks.
A1-Vision is a vision-aware system prompt that enables AI assistants to understand screenshots, UI elements, and on-screen text while leveraging memory retrieval and structured reasoning. It's useful for developers building vision-capable AI agents across multiple platforms (Claude, ChatGPT, Cursor, Windsurf).
A recursive RAG (Retrieval-Augmented Generation) MCP server that integrates with Cursor IDE to enable intelligent code retrieval and context optimization through vector embeddings and a rules optimizer. Developers using Cursor can leverage this to enhance code understanding, documentation retrieval, and AI-assisted development workflows.
A specialized Formula 1 racing chat application built with Next.js, React, and Tailwind CSS. This project uses Retrieval Augmented Generation to provide accurate, context-aware responses.
TheiaChat CLI Copilot Instructions is a comprehensive governance framework for an AI-assisted TypeScript terminal tool, designed to enforce enterprise-grade code quality, security, and architectural rigor through mandatory PRD-first workflows and triple-check verification gates. Enterprise teams and AI coding agents working on TypeScript CLI projects benefit from its structured approach to secure, validated feature development.
A multi-tenant voice assistant platform that handles speech-to-text, RAG-based retrieval, and text-to-speech synthesis to answer company-specific questions. Useful for developers building customer-facing IVR systems or voice interfaces.
Arjunkmrm Watch2 is an MCP server that provides timezone-aware current time retrieval with browsable continent and region selection. Developers building applications that need timezone functionality or global time awareness will find this useful.
A production-grade system prompt for building a security-hardened RAG (Retrieval-Augmented Generation) document Q&A platform with JWT auth, multi-tenant isolation, and Gemini integration. Ideal for teams building enterprise-ready AI assistants that prioritize security and observability.
A specialized system prompt that transforms Claude into an Operational Excellence Assistant for HR, Finance, and Operations teams, guiding users through policies, workflows, and processes using grounded knowledge base retrieval. Ideal for managers and staff needing practical operational guidance.
This MCP server integrates an LLM Search Engine into Claude and Cursor, enabling developers to perform web searches directly within their AI workflows. It's useful for developers who need real-time information retrieval capabilities in their AI-assisted coding and analysis tasks.
Rex is a documentation retrieval agent that helps users and other agents quickly find information about project architecture, conventions, and implementation details by searching README.md, CLAUDE.md, and docs/ files.
This booster provides Copilot instructions for a Node.js RAG (Retrieval-Augmented Generation) customer support system, helping developers integrate intelligent document-based chat functionality with best practices for async/await, logging, and error handling.
This MCP server provides timezone-aware current time retrieval with timezone exploration capabilities, useful for developers building applications that need to handle multiple time zones or display localized time information.
A specialized PDF processing agent that handles text extraction, metadata retrieval, and OCR operations using unpdf and PaddleOCR technologies. Ideal for developers building document processing pipelines, data extraction workflows, and document management systems.
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.
A lightweight production-ready RAG system prompt that integrates contextual chunking and vector retrieval via Chroma, designed for developers building AI-enhanced code editors and IDEs. Developers working with Claude, ChatGPT, or Cursor who need retrieval-augmented generation without heavy infrastructure will benefit from this ready-to-deploy foundation.
