52 boosters for "OpenAI" — open source, verified from GitHub, ready to install
"name": "llm-council-plugin", "description": "Multi-model consensus engine integrating OpenAI Codex CLI, Gemini CLI, and Claude CLI for collaborative code review and problem-solving.", "repository": "https://github.com/xrf9268-hue/llm-council-plugin",
A comprehensive guide to building sophisticated AI agents using the Robota SDK, covering architecture patterns, tool integration, and best practices. Developers building multi-agent systems and complex AI workflows benefit from its advanced techniques and reusable patterns.
Claude Camille is an intelligent code compliance checker and embedding search tool that integrates with Claude Code to automate code review and ensure coding standards across projects. It benefits developers and teams who want to maintain code quality and enforce compliance rules without manual review overhead.
An MCP server that enables searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, medRxiv, and Google Scholar. Ideal for researchers, students, and developers who need programmatic access to academic literature.
An educational project for learning OpenAI API integration through agent development. Useful for students and developers learning to build AI agents, though the actual functionality appears incomplete.
An MCP server agent for fetching real-time stock quotes across international markets by ticker symbol. Useful for developers building financial data integrations and educational projects exploring OpenAI API capabilities.
An MCP server that enables AI image generation across multiple platforms (OpenAI DALL-E, Google Gemini, Flux via Replicate) for Claude Desktop and Claude Code users. Developers building AI applications benefit from unified access to diverse image generation models through a single, standardized interface.
A skill booster that simplifies starting and stopping Docker-based test databases for local development, providing ready-to-use connection strings for PostgreSQL instances. Developers using Claude Code can quickly spin up isolated database environments without manual Docker commands.
An MCP server that integrates OpenAI's image and audio generation capabilities into Claude Desktop, Claude Code, and Cursor via a CLI wrapper. Developers building AI applications benefit from direct access to DALL-E and audio generation without managing API calls manually.
Codex enables independent AI code review of Claude's changes using the OpenAI Codex CLI, supporting maker-checker workflows. Developers using Claude Code can leverage this for automated second-opinion code validation before committing.
A migration guide for transitioning from deprecated hardcoded agents to a dynamic ConfigurableAgent system in a Rust-based agentic chatbot server. Developers maintaining or upgrading agent-based systems benefit from clear configuration patterns and best practices for multi-provider LLM setups.
An MCP server that integrates Obsidian vaults as a knowledge management layer for AI assistants like Claude and Copilot, enabling developers and knowledge workers to leverage their personal notes and documentation in AI-powered workflows.
A Cursor-specific prompt that establishes an experienced software engineer persona with expertise in modern Next.js, React, and TypeScript development. It helps developers maintain consistent coding standards and best practices throughout their project workflow.
An MCP server that integrates Codex CLI with Claude Code and Claude Desktop, enabling developers to leverage Codex capabilities within Claude's ecosystem for enhanced code generation and AI-assisted development.
PrismBench enables developers to create specialized LLM agents through YAML configuration for comprehensive benchmarking and evaluation of language model capabilities. Teams building AI evaluation systems and ML testing pipelines benefit from its systematic Monte Carlo Tree Search approach and containerized deployment.
PrismBench enables developers to create specialized LLM agents through YAML configuration for systematic evaluation of model capabilities using Monte Carlo Tree Search. Useful for ML engineers, researchers, and teams building production LLM systems who need comprehensive benchmarking and evaluation frameworks.
A comprehensive system prompt and structural guide for building production-ready GenAI applications with clear rules, templates, and best practices across multiple AI platforms. Developers building AI agents and structured LLM applications benefit from its emphasis on proper configuration, testing, and code standards.
A Model Context Protocol server that enables Claude to search and retrieve DeFi news from targeted websites using the Tavily API. Useful for developers building DeFi applications, traders, and AI assistants that need real-time crypto market news.
Ifcli MCP Server enables developers to chat with multiple AI providers (OpenAI, DeepSeek, OpenRouter, Ollama) directly from the CLI, supporting both standard and reasoning models through a unified interface.
Mcp Tool Factory generates MCP servers from natural language, OpenAPI specs, databases, GraphQL, and ontologies, supporting 10+ LLM providers. Developers building AI agents and tool ecosystems benefit from automated server generation without manual boilerplate.
A Windsurf-integrated prompt for managing and developing an audio-to-subtitle video conversion application using Next.js and FastAPI with OpenAI Whisper. Developers building Korean audio processing tools benefit from structured server management and development workflows.
MattGPT is a personalized portfolio assistant that answers career and capability questions by grounding responses in real STAR stories and project case studies from 20+ years of digital transformation experience. It's useful for job seekers preparing for interviews, clients evaluating consulting capabilities, and anyone wanting evidence-backed career insights.
Kibi is a local-first AI agent CLI tool that integrates with Claude via MCP, providing a terminal-based interface for AI-powered workflows. It benefits developers and power users who want to run AI agents locally with full control over their data and LLM interactions.
An agent specialized in integrating multiple AI providers (OpenAI, Anthropic, Google AI) with expertise in prompt engineering, embeddings, RAG implementation, and error handling. Ideal for developers building multi-LLM applications who need standardized integration patterns and fallback strategies.