Descubre 459 MCPs desarrollados para OpenAI.
Enables LangChain ReAct Agents to interact with Model Context Protocol (MCP) servers using TypeScript.
Provides an intelligent orchestration layer for AI agents, adding meta-cognition, adaptive model selection, and real-time cost tracking.
Enables any LLM-powered chatbot client to generate and edit professional-quality images using OpenAI's gpt-image-1 model.
Facilitates parallel execution of AI tasks by bridging MCP-compatible clients with Codex and Gemini CLI agents and delivering structured responses.
Manages a personal movie watchlist, provides AI-powered recommendations, and integrates interactive widgets directly into ChatGPT.
Enables the construction of intelligent, multi-agent systems with a modular, extensible framework.
Automatically commits Git changes and generates commit messages using conventional commits format.
Wraps OpenAI's built-in tools as Model Context Protocol (MCP) servers, enabling use with Claude and other MCP-compatible models.
Generates images from text descriptions using OpenAI's DALL-E API, demonstrating how to build MCP tools for Large Language Models.
Connects AI assistants to Buildable projects for contextual understanding, task management, and real-time collaboration.
Provides example implementations for Spring AI's Model Context Protocol, demonstrating interaction with various databases.
Enables interaction with various large language models via the Model Context Protocol (MCP).
Generates images from text prompts using OpenAI's DALL-E 3 model via the Model Context Protocol.
Integrates OpenAI's Text-to-Speech API into Claude Code, providing developers with audio feedback directly within their coding environment.
Enables intelligent document search and retrieval from PDF collections by serving as a Model Context Protocol (MCP) server.
Orchestrates a collection of AI agents for web scraping, real-time information retrieval, and dynamic podcast generation.
Exposes OpenAI agents and tools as a Model Context Protocol (MCP) server.
Integrates various state-of-the-art AI models for image generation into an MCP server.
Provides an enhanced Model Context Protocol (MCP) server for Graphiti, enabling AI agents to interact with a temporally-aware knowledge graph.
Orchestrates AI workflows for healthcare applications using a graph-based architecture.
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