Discover 459 MCPs built for OpenAI.
Manages memories programmatically with local storage, semantic search, and OpenAI embeddings.
Transcribes audio files using OpenAI's Whisper API within an MCP server environment.
Generates and edits images using OpenAI's DALL-E API through a Model Context Protocol (MCP) server.
Connects Claude Desktop and OpenAI Responses API to a server for job searching functionalities.
Automates and enhances binary analysis for cybersecurity professionals by integrating Ghidra's reverse engineering capabilities with GPT-5 AI technology.
Converts natural language queries into optimized SQL, offering enterprise-grade support for large databases and multiple AI providers.
Implements an AI agent that interacts with the MCP framework using OpenAI LLMs to perform code actions.
Provides a universal Model Context Protocol (MCP) server for accessing OpenAI's APIs and other compatible AI providers through a standardized interface.
Orchestrates multi-agent AI research by running multiple LLM providers in parallel and intelligently synthesizing their responses.
Generate, edit, and fetch images and videos using OpenAI and Google GenAI models, with smart compression and strict Model Context Protocol (MCP) compliance.
Implements a simple API interface for large language models, enabling interaction with services like Ollama, Anthropic, Mistral, and OpenAI.
Connect TCP devices to Large Language Models via the Model Context Protocol (MCP), enabling natural language control of hardware.
Provides a modular framework for developing AGI agents using a Master Control Program (MCP) architecture.
Provides HTTP access to Multiple Command Protocol (MCP) tools via a REST API.
Enables interaction with a GitHub profile through AI-powered queries using the Model Context Protocol.
Automates airline seat reservations through intelligent agent interactions.
Provides advanced code analysis and semantic search capabilities for large codebases, facilitating automatic refactoring and domain understanding.
Handles text completions using OpenAI models via integration with LiteLLM.
Transcribe video and audio content using multiple automatic speech recognition (ASR) providers, including local Whisper models and online services like JianYing (CapCut) and Bcut (Bilibili).
Enables universal chat functionality by providing a unified API client for various AI models.
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