66 boosters for "graph" — AI-graded, open source, ready to install
Heuristic scoring (no AI key configured).
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.
cam-run is a webcam-based running game that uses AI to guide player movements in real-time, combining Three.js 3D graphics with MediaPipe pose detection for interactive fitness gaming.
This MCP server bridges AI assistants with Linear project management via GraphQL, enabling Claude and Cursor users to query and manage Linear projects directly through natural language. It's essential for teams using Linear who want AI-assisted workflow automation and issue management.
PromptPal is a prompt management system booster designed to guide AI pair programming for backend engineering projects, specifically for Go/Golang development with REST and GraphQL APIs. Backend developers working on the PromptPal project itself will benefit from structured guidance on architecture, ORM patterns, and API design.
Core coding standards - explicit naming and fail-fast error handling
ScrapeGraphAI Scrapegraph MCP enables Claude and other language models to perform intelligent, enterprise-grade web scraping directly within their conversations. Developers, data analysts, and researchers benefit from automated data extraction without building custom scraping infrastructure.
Guides developers through setting up and configuring Torii, the Dojo indexer, to enable GraphQL queries, gRPC subscriptions, and SQL access for deployed worlds. Essential for developers building client applications that need efficient querying and real-time updates on Dojo world state.
AI Copilot instructions for the Aipictors project (Remix + Cloudflare Pages), providing developers with comprehensive guidelines on architecture, routing, GraphQL setup, workflow commands, and implementation conventions to ensure consistent development practices.
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.
Generates eye-catching infographic series for Xiaohongshu (Little Red Book) by converting content into 1-10 cartoon-style visuals with customizable styles and layouts. Ideal for content creators, marketers, and social media managers targeting Chinese audiences.
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.
JellyRock Developer Guide provides mandatory agent rules, architecture documentation, and development patterns for building and maintaining a Jellyfin client on Roku devices using BrighterScript and Roku Scene Graph. Developers building or contributing to JellyRock will benefit from clear guidelines on navigation, state management, and best practices.
An MCP server that integrates Audiense audience intelligence into Claude, enabling marketers and analysts to access demographic, cultural, and engagement insights directly within conversations. Ideal for marketing professionals, social media strategists, and data analysts who need real-time audience analytics.
An MCP server that enables Claude to query Azure resources across subscriptions using Resource Graph queries, helping Azure administrators and developers audit, manage, and analyze their cloud infrastructure programmatically.
Deep Research is an advanced web research booster using Graph-of-Thoughts methodology to investigate fast-changing topics through hypothesis testing, source triangulation, and multi-tier analysis. It's designed for users and developers needing rigorous, current information on evolving subjects.
Deep Research is a 7-phase structured research protocol that helps users conduct comprehensive, multi-source investigations with verified citations and source triangulation. It benefits researchers, analysts, and anyone needing thorough, auditable research outputs.
GPRPy enables Claude to process and visualize ground-penetrating radar data through signal processing, velocity analysis, and depth conversion—essential for geophysicists, archaeologists, and civil engineers analyzing subsurface structures.
Enables Claude to compute surface wave dispersion curves for layered Earth models using the Thomson-Haskell matrix method, essential for seismic wave analysis and geophysical inversion workflows. Geophysicists and seismologists benefit from automated dispersion modeling for tomography and Earth structure studies.
A comprehensive ruleset for Windsurf that enforces TypeScript/Node.js best practices, code style standards, and architecture patterns for developers building AI agents with LangGraph and the Vercel AI SDK.
bug-v3 activates an API development agent specialized in designing and implementing robust REST and GraphQL APIs with authentication and best practices for backend systems. Backend developers and teams building scalable APIs will benefit from this automation.
Lár Windsurf Rules is a cursor ruleset that guides developers in building graph-based AI agents using the Lár framework with strict typing, explicit node linking, and auditable patterns. It benefits developers building complex, self-correcting agentic systems who need clear structural guidelines.
