OpenAI is an AI research and deployment company dedicated to ensuring that artificial general intelligence benefits all of humanity.
Why this server?
Supports OpenAI models for AI-powered document signing, template management, and eSignature workflow automation
Why this server?
Enables management of OpenAI API keys and integration with OpenAI GPT models for voice assistant creation and configuration
Why this server?
Utilizes OpenAI models for document classification, organization, summarization, and knowledge base generation through the OpenAI API
Why this server?
Allows OpenAI Agents to use MiniMax's Text to Speech, voice cloning, and video/image generation capabilities
Why this server?
Supports using OpenAI's GPT models for AI-powered web automation and natural language commands through Stagehand integration
Why this server?
Integrates with OpenAI Agents SDK, allowing OpenAI-based applications to manage and query Redis data through natural language commands.
Why this server?
Provides integration with OpenAI's API for programmatic usage with the MCP server.
Why this server?
Enables OpenAI models to directly use the hosted MCP server to search for jobs using the search_jobs tool
Why this server?
Allows GPT-4.1 to interact with the urlDNA threat intelligence platform, providing tools for URL scanning, retrieving scan results, searching for malicious content, and performing fast phishing checks
Why this server?
Provides access to OpenAI's GPT models through configurable cloud backends with specialized routing for coding, analysis, and general-purpose AI tasks
Why this server?
Uses OpenAI to generate professional descriptions of projects and skills based on codebase analysis for enhancing JSON Resumes
Why this server?
Enables integration with OpenAI Agents SDK to access SEO data including backlinks, keywords, and SERP information through the Model Context Protocol
Why this server?
Mentioned as a company that can be researched for funding information, including latest round size, valuation, and key investors.
Why this server?
Allows OpenAI Agents to use ElevenLabs' text-to-speech and audio processing features to generate and manipulate audio content.
Why this server?
Supports OpenAI Agents to access and utilize web data through the MCP server
Why this server?
Supports integration with OpenAI models through API key configuration, enabling LLM capabilities within the server environment.
Why this server?
Provides compatibility with the OpenAI Agents SDK, allowing users to connect to the Atla MCP server for LLM evaluation services.
Why this server?
Leverages OpenAI's vector stores for persistent memory storage, enabling semantic search and retrieval of saved information
Why this server?
Integrates with OpenAI Agents SDK to enable AI assistants to query and manage CockroachDB data through natural language.
Why this server?
Supports using OpenAI's models for the ACT feature, allowing an agent to control a Scrapybara instance using natural language instructions.
Why this server?
Integrates with OpenAI-compatible APIs for enhanced code analysis and LLM-powered intelligence features
Why this server?
Integrates with OpenAI's API to provide AI-powered task categorization, prioritization, and automatic routing of captured items
Why this server?
Integrates with OpenAI-compatible APIs to provide prompt cleaning and sanitization services, using LLM models to retouch prompts, identify risks, redact sensitive information, and provide structured feedback on prompt quality.
Why this server?
Provides AI-enhanced video processing features such as content analysis, learning path creation, knowledge graph generation, and transcript processing using OpenAI's language models
Why this server?
Provides compatibility with OpenAI API clients, serving as a drop-in replacement for standard OpenAI interfaces while implementing the Chain of Draft approach.
Why this server?
Provides automatic token usage tracking and cost calculation for OpenAI API calls, supporting all GPT models including GPT-4, GPT-3.5 Turbo, DALL-E 3, and Whisper with real-time usage monitoring and pricing.
Why this server?
Integrates with OpenAI's DALL-E (gpt-image-1 model) for AI-powered image generation and editing capabilities
Why this server?
Allows forwarding requests to an Brightsy AI agent using an OpenAI-compatible format, enabling interaction with the agent through a standardized messages array with role and content properties.
Why this server?
Provides RAG (Retrieval-Augmented Generation) capabilities using OpenAI's language models and embedding models for intelligent document processing, semantic search, and knowledge base question answering.
Why this server?
Uses OpenAI's GPT-4o-mini model to generate commit messages based on code changes
Why this server?
Supports ChatGPT's Deep Research feature with a simplified interface for searching WordPress Trac data and fetching detailed information about tickets and changesets.
Why this server?
Integration with OpenAI's API for AI-powered web content analysis and summarization
Why this server?
Supports OpenAI tool invocations, helping to reduce the number of premium requests by providing a human feedback mechanism before making speculative tool calls
Why this server?
Integrates with OpenAI services for enhanced AI capabilities in Tailwind component design and optimization
Why this server?
Uses OpenAI's API to generate Stern's philosophical guidance and mentorship responses through the msg_stern tool.
Why this server?
Leverages OpenAI's GPT models to transform natural language into SQL queries, provide analysis of query results, suggest query optimizations, explain queries in plain English, and generate insights about table data.
Why this server?
Supports OpenAI embeddings as a fallback option for vector-based semantic code search, though Jina AI embeddings are recommended.
Why this server?
Integration with OpenAI's language models via their API for AI-driven browser automation
Why this server?
Enables access to OpenAI model information, providing tools to list available models and get detailed model specifications
Why this server?
Enables image generation using OpenAI's DALL-E 3 model by allowing users to create images from text prompts and save them to a specified directory.
Why this server?
Utilizes OpenAI GPT for natural language to SQL conversion in database queries
Why this server?
Enables the generation of high-quality images using OpenAI's DALL-E 3 model with support for different sizes, quality levels, and styles.
Why this server?
Enables OpenAI models to interact with Emacs through the MCP server, as indicated by the OPENAI_API_KEY requirement in the configuration.
Why this server?
Offers an OpenAI-compatible chat completion API that serves as a drop-in replacement, enabling the use of local Ollama models with the familiar OpenAI chat interface and message structure.
Why this server?
Integrates with OpenAI's API for embedding models to analyze and process content during frontend development workflows
Why this server?
Enables intelligent and interactive feedback with users, designed to reduce premium OpenAI tool invocations by consolidating multiple requests into a single feedback-aware interaction.
Why this server?
Enables exposing the weather tools to OpenAI function-calling agents to incorporate weather data into conversations and decision-making
Why this server?
Enables access to OpenAI's models including GPT-4 and GPT-3.5-turbo through the OpenAI API, supporting both creative tasks and fast responses for simple queries.
Why this server?
Integrates with OpenAI's GPT models via OpenRouter for AI-powered architectural analysis, providing intelligent code generation, decision tracking, and development workflow automation
Why this server?
Optionally integrates with OpenAI API for enhanced natural language processing capabilities when interpreting Zapmail commands
Why this server?
References accessing OpenAI API keys stored in environment variables, highlighting the potential security risk of exposing these credentials
Why this server?
Enables semantic code search using OpenAI's embedding models (text-embedding-3-small, text-embedding-3-large) for generating vector representations of code
Why this server?
Enables AI-powered image generation through Azure OpenAI's DALL-E 3 model for photorealistic images, portraits, and artistic content with customizable quality and style settings
Why this server?
Offers integration with OpenAI-compatible APIs for chat completions, embeddings creation, and model management through standardized OpenAI endpoints
Why this server?
Provides documentation retrieval and web scraping capabilities for OpenAI's official documentation, allowing users to search and extract clean, readable content from OpenAI docs
Why this server?
Integrates with OpenAI's Codex CLI to provide senior-level code reviews, analyzing code quality, security vulnerabilities, performance issues, and providing prioritized recommendations
Why this server?
Enables integration with OpenAI models (like GPT-4) for agent conversations, with configurable LLM settings including model selection and temperature
Why this server?
Provides access to OpenAI's models including GPT-5 Codex through OpenRouter for AI consultation, code review, and analysis tasks
Why this server?
Enables creation of ReAct agents using GPT-4o model that can interact with MCP server tools for web search and other capabilities
Why this server?
Supports ingestion of OpenAI research content and documentation into vector search projects for semantic search and knowledge base creation
Why this server?
Provides access to OpenAI's GPT models through a standardized interface, supporting customizable parameters like temperature and max tokens
Why this server?
Allows querying OpenAI models (o3-mini and gpt-4o-mini) directly from Claude using the MCP protocol, enabling users to ask questions and receive responses from OpenAI's AI models
Why this server?
Enables use of OpenAI models like gpt-4o as alternative providers for extraction tasks.
Why this server?
Supports OpenAI as an embedding provider for content indexing and provides chat assistant adapter capabilities for OpenAI models
Why this server?
Uses OpenAI's API for AI-powered lighting generation, script analysis, and intelligent scene creation based on artistic intent and lighting design principles
Why this server?
Integrates with OpenAI's API via an API key to provide AI guidance for MCP server creation
Why this server?
Supports OpenAI models like GPT-4o as an LLM provider for repository analysis and tutorial generation.
Why this server?
Uses Nebius (OpenAI-compatible) models for text processing, summarization, and question enhancement
Why this server?
Allows sending requests to OpenAI models like GPT-4o-mini via the MCP protocol
Why this server?
Integrates with OpenAI's API to enable AI-powered automation for web testing, allowing natural language commands to be translated into Playwright actions.
Why this server?
Supports ChatGPT via MCP plugins, allowing it to perform Elasticsearch operations through the standardized Model Context Protocol.
Why this server?
Integrates with OpenAI's API for automated end-to-end testing, requiring an OpenAI API key to run the MCP server in end-to-end mode for LLM-driven test validation.
Why this server?
Provides access to OpenAI's API services through automatic tool generation from OpenAPI specifications
Why this server?
Utilizes OpenAI API format for model interactions, with configuration options for API key, base URL, and model selection
Why this server?
Provides access to OpenAI models like GPT-4o, with support for model switching and routing based on reasoning requirements.
Why this server?
Enables AI-powered development using OpenAI models for code generation, refactoring, test generation, and documentation
Why this server?
Enables searching through OpenAI's documentation for API usage and model capabilities
Why this server?
Enables querying OpenAI's o3 model with file context and automatically constructed prompts from markdown and code files
Why this server?
Allows sending chat messages to OpenAI's API and receiving responses from models like gpt-4o
Why this server?
Supports OpenAI models (GPT-4, GPT-3.5) through compatible MCP clients, allowing AI-powered control of serial devices.
Why this server?
Enables exposure of APIs compatible with the Model Context Protocol for use with OpenAI services, allowing custom functions to be invoked by AI agents.
Why this server?
Provides web search capabilities using OpenAI's o3 model, enabling AI agents to perform text-based web searches with configurable context size and reasoning effort
Why this server?
Allows access to OpenAI models via the LLM_MODEL_PROVIDER environment variable and OPENAI_API_KEY
Why this server?
Integrates with OpenAI's API as one of the AI providers, allowing use of models like o1-preview for specification generation, code review, and other development tools.
Why this server?
Connects to OpenAI's API to enable natural language processing for AEM content management tasks
Why this server?
Offers an OpenAI-compatible chat completion API interface, allowing the server to function as a drop-in replacement for OpenAI's chat completion functionality while using Ollama's local LLM models.
Why this server?
Utilizes OpenAI's models for both text processing and embedding generation
Why this server?
Integrates with OpenAI's API to generate AI-driven diagrams and prototypes using OpenAI's language models for intelligent content creation
Why this server?
Leverages OpenAI's Agents SDK to expose individual specialized agents (Web Search, File Search, Computer Action) and a multi-agent orchestrator through the MCP protocol.
Why this server?
Enables OpenAI models (GPT-4, GPT-3.5) to interact with TCP devices through natural language
Why this server?
Integrates with OpenAI's GPT models to power natural language to SQL query conversion and database exploration capabilities
Why this server?
Integrates with OpenAI Agents SDK to enable AI agents to perform database operations and queries on CockroachDB.
Why this server?
Uses OpenAI's API for automated translation of strings, with support for batch processing, chunked translation, and customizable model selection for cost-effective localization.
Why this server?
Provides access to OpenAI's ChatGPT API for generating responses from various GPT models with customizable parameters for temperature and token limits.
Why this server?
Allows tasks to utilize OpenAI's API and models like o3 and o3-pro for various AI capabilities.
Why this server?
Provides tools to manage OpenAI API keys and spending through the OpenAI API
Why this server?
Integrates with OpenAI's GPT-4 API to provide AI-powered content curation capabilities including smart categorization, intelligent tagging, and content optimization for educational materials
Why this server?
Supports OpenAI models as an LLM provider for context optimization tasks including file analysis, terminal output processing, and research capabilities
Why this server?
Provides image generation capabilities using OpenAI's DALL-E 3 model, allowing users to create high-quality images from text prompts with configurable size, quality, and style parameters.
Why this server?
Uses GPT-4o through OpenAI's API for high-precision PII detection in text, enabling accurate identification of personal identifiable information across Korean and English content
Why this server?
Provides AI-powered question answering and document analysis capabilities using OpenAI's API to generate intelligent responses based on documentation content
Why this server?
Enables AI coding assistants to interact with OpenAI's Codex AI through the official CLI, providing tools for code analysis, file review, and general coding queries without direct API costs
Why this server?
Integrated with the test harness to process natural language queries into FHIR operations on the Medplum server.
Why this server?
Provides function calling service for OpenAI models to access cryptocurrency data from CoinGecko, including historical prices, market caps, volumes, and OHLC data
Why this server?
Allows querying OpenAI models directly from Claude using MCP protocol
Why this server?
Enables interaction with OpenAI's models including GPT-4, GPT-3.5-turbo, and GPT-4-turbo through a unified chat interface
Why this server?
Uses OpenAI's API for server functionality, with configuration for API key, base URL, and model selection (specifically gpt-4o-mini)
Why this server?
Creates OpenAI-compatible function definitions and tool implementations from Postman API collections, with proper error handling and response validation.
Why this server?
Leverages OpenAI's embedding capabilities for processing and semantically searching documents in Qdrant collections.
Why this server?
Allows creating and interacting with OpenAI assistants through the Model Context Protocol (MCP). Enables sending messages to OpenAI assistants and receiving responses, creating new assistants with specific instructions, listing existing assistants, modifying assistants, and managing conversation threads.
Why this server?
Integration with OpenAI is mentioned as a pending implementation under Bot Integrations.
Why this server?
Supports OpenAI as an LLM provider through API key integration
Why this server?
Leverages OpenAI's capabilities to summarize video content and generate professional LinkedIn posts with customizable tone and style.
Why this server?
Integrates with Azure OpenAI API for batch analysis capabilities, enabling summarization, sentiment analysis, custom scoring, and research impact assessment on Smartsheet data.
Why this server?
Utilizes OpenAI's Text-to-Speech API to convert text into high-quality spoken audio with multiple voice options, models, and audio formats.
Why this server?
Leverages OpenAI's embedding models for semantic search capabilities, supporting multiple models including text-embedding-3-small/large.
Why this server?
Enables interaction with OpenAI's models (GPT-4o-mini and O3-mini) through the DuckDuckGo AI chat tool.
Why this server?
Connects to OpenAI's API to analyze code and perform detailed code reviews, with support for models like gpt-4o and gpt-4-turbo to identify issues and provide recommendations.
Why this server?
Potentially compatible with OpenAI's API for models that support tool/function calling capabilities
Why this server?
Provides AI capabilities using DeepInfra's OpenAI-compatible API, including image generation, text processing, embeddings, speech recognition, image classification, object detection, and various NLP tasks like sentiment analysis and named entity recognition.
Why this server?
Integrates with OpenAI's GPT-4 language model to power the LangGraph agent for intelligent country exploration and content generation
Why this server?
Provides integration with OpenAI's Codex CLI, enabling code analysis, automated refactoring, documentation generation, and interactive code editing with approval workflows and sandbox execution modes
Why this server?
Utilizes GPT-4-turbo model to analyze and provide detailed descriptions of images from URLs
Why this server?
Provides audio transcription capabilities using OpenAI's Speech-to-Text API, allowing conversion of audio files to text with options for language specification and saving transcriptions to files.
Why this server?
Enables integration with OpenAI's Assistant API, allowing AI assistants to use flight search, booking, and analysis capabilities through the Amadeus API.
Why this server?
Leverages OpenAI for analysis and report generation as part of the research workflow, processing collected information into structured knowledge
Why this server?
Integrates with OpenAI models for LLM-based content extraction and structured data generation.
Why this server?
Utilizes OpenAI's text-to-speech capabilities to provide voice responses during presentations
Why this server?
Supports GPT models from OpenAI as an AI provider for summarization capabilities
Why this server?
Uses OpenAI's API to power Telos's philosophical guidance and mentorship capabilities
Why this server?
Optional integration for server-side natural language processing to transform natural language security requirements into Cerbos YAML policies using OpenAI GPT models.
Why this server?
Provides access to OpenAI's models including GPT-4o and GPT-4o-mini through a unified interface for prompt processing.
Why this server?
Enables text generation using OpenAI models through Pollinations.ai's API service
Why this server?
Provides access to OpenAI's gpt-image-1 model for generating and editing images through text prompts, with capabilities for controlling image size, quality, background style, and output formats.
Why this server?
Provides access to Deepseek reasoning content through OpenAI API
Why this server?
Supports OpenAI's vision models (GPT-4o) for analyzing images through the OpenRouter API.
Why this server?
Utilizes OpenAI GPT-4 Vision API for image analysis and detailed descriptions from both base64-encoded images and image files
Why this server?
Uses OpenAI models (GPT-4.1, O4 Mini, O3 Mini) to perform structured or freeform code reviews when provided with an OpenAI API key
Why this server?
Integrates with OpenAI's API for LLM functionality, enabling AI-powered browser control with customizable parameters
Why this server?
Provides a direct alternative to OpenAI Operator, allowing OpenAI models to interact with and control macOS systems through the MCP protocol.
Why this server?
Integrates with OpenAI API for code analysis, providing detailed feedback, improvement suggestions, and best practices recommendations.
Why this server?
Provides text generation with GPT models and image generation with DALL-E 2 and DALL-E 3 models
Why this server?
Enables routing requests to OpenAI's models through the MCP server, providing access to OpenAI's AI capabilities via a unified proxy interface
Why this server?
Seamless integration with OpenAI models, enabling the use of OpenAI's AI capabilities with tools and prompts.
Why this server?
Uses OpenAI's Triton language for custom CUDA kernels that optimize model performance.
Why this server?
Enables integration with OpenAI's LLM platforms by configuring them to use the MonkeyType MCP server as a tool provider.
Why this server?
Enables integration with ChatGPT through plugins or custom integrations, providing real-time weather data and forecasts
Why this server?
Expected future integration with ChatGPT (mentioned as coming soon), which would allow using the MCP server with OpenAI's models
Why this server?
Provides access to OpenAI's language models including GPT-4, GPT-4 Turbo, and GPT-3.5 Turbo through the ask_openai tool with customizable parameters like temperature.
Why this server?
Leverages OpenAI's models for AI-driven task management and development support
Why this server?
Referenced as an LLM API provider that can be used with the MCP server for natural language interactions with the database
Why this server?
Supports using OpenAI embedding models for vectorizing content. Allows configuring namespaces to use various OpenAI embedding models like text-embedding-3-small and text-embedding-3-large.
Why this server?
Integrates with OpenAI's models for language and vision capabilities, allowing the browser automation system to leverage OpenAI's AI models for processing and generating content.
Why this server?
Integrates with OpenAI's Embeddings API to enable semantic search of documents based on meaning rather than exact text matching
Why this server?
Supported as a model option for the text summarization feature
Why this server?
Leverages OpenAI's vision capabilities for AI-powered content extraction from media files (images and videos) when provided with an API key
Why this server?
Allows fetching and searching of current OpenAI documentation, providing access to the most recent API references and guides.
Why this server?
Leverages OpenAI's GPT-4o model through OpenRouter for vision-based image analysis tasks
Why this server?
Provides OpenAI-compatible API endpoints for text completion
Why this server?
Used internally for article summarization functionality, though this capability is not directly exposed via MCP prompts.
Why this server?
Utilizes OpenAI's gpt-image-1 model to generate image assets that can be used for game or web development
Why this server?
Provides integration with OpenAI's vision models (like GPT-4o) for analyzing captured screenshots through the OpenAI API.
Why this server?
Generates images using OpenAI's DALL-E 3 model based on text prompts, saving the results to a specified location.
Why this server?
Will support integration with ChatGPT app through MCP protocol
Why this server?
Integrates OpenAI models (including O3) to enable complex problem-solving and reasoning capabilities through a unified MCP interface
Why this server?
Integrates with OpenAI services for transcription (Whisper) and content processing, allowing for AI-powered content extraction and summarization.
Why this server?
Provides HTTP/SSE mode integration for OpenAI, enabling file read/write operations, deletion, and search capabilities through MCP protocol
Why this server?
Enables function calling with the Deriv API through OpenAI models, offering capabilities to fetch active trading symbols and account balances.
Why this server?
Provides access to OpenAI's websearch tool to query for current information from the web
Why this server?
Compatible with OpenAI agents through the MCP protocol for managing song requests and monitoring queues
Why this server?
Integrates with OpenAI's GPT models for AI-driven component analysis, design, and automated code generation
Why this server?
Uses OpenAI's API for embeddings generation to power the vector search capabilities of the RAG documentation system
Why this server?
Provides import capability for ChatGPT conversation history into the Basic Memory knowledge base.
Why this server?
Optional integration for enhanced exploit generation, allowing the MCP server to use OpenAI GPT models to create more sophisticated educational security exploit examples.
Why this server?
Enables automatic function calling integration with OpenAI's API, allowing the MCP server to respond to OpenAI requests through webhooks and Cloudflare tunnels for seamless AI-powered interactions
Why this server?
Allows custom GPT models to communicate with the user's shell via a relay server
Why this server?
Wraps OpenAI's built-in tools (web search, code interpreter, web browser, file management) as MCP servers, making them available to other MCP-compatible models.
Why this server?
Provides access to OpenAI's documentation, allowing retrieval of information about API endpoints, models, and usage guidelines.
Why this server?
Provides access to OpenAI services including chat completion, image generation, text-to-speech, speech-to-text, and embedding generation
Why this server?
Uses OpenAI's API to generate visual novel scenarios in the 'Kotonoha Sisters' explanation format
Why this server?
Integrates with OpenAI's API for content generation and tool usage, while also providing access to OpenAI Agents SDK documentation
Why this server?
Supports vulnerability scanning against OpenAI models to identify security weaknesses
Why this server?
Leverages OpenAI capabilities for enhanced features in web search and content analysis, requiring an API key for AI-powered functionality.
Why this server?
Integrates OpenAI's embedding API to enable semantic search functionality, allowing natural language queries to find conceptually similar articles using vector similarity search with pgvector.
Why this server?
Supports OpenAI's GPT models for processing and synthesizing community-sourced programming solutions into structured responses
Why this server?
Uses OpenAI's embedding models to generate vector embeddings for RAG (Retrieval-Augmented Generation) search functionality
Why this server?
Utilizes OpenAI embeddings to power semantic search across the Arke Institute's archive of National Archives records and presidential libraries
Why this server?
Optional integration for upgrading the search model from local embeddings to OpenAI's text-embedding models for improved search query processing
Why this server?
Optional integration with OpenAI API to enhance AI-powered qualitative research analysis capabilities including automatic coding, theme extraction, and theory building
Why this server?
The MCP server integrates with OpenAI as an LLM provider, allowing AI applications to interact with Crawlab through the MCP protocol. The architecture shows OpenAI as one of the supported LLM providers for processing natural language queries.
Why this server?
Enables OpenAI Agents to utilize audio transcription, analysis, and intelligence features like translation, summarization, and named entity recognition.
Why this server?
Allows OpenAI Agents to access text-to-speech, voice cloning, video translation, subtitle removal, and other audio/video processing capabilities.
Why this server?
Allows OpenAI Agents to make decisions based on information available on the web through UProc's data retrieval capabilities
Why this server?
Provides integration with OpenAI's API, likely for embeddings or other AI capabilities when working with Weaviate
Why this server?
Leverages OpenAI's models for AI-powered analysis and is integrated into ChatGPT as a demo GPT with Octagon API key access
Why this server?
Enables integration with OpenAI's Responses API to incorporate Cloudinary's media management capabilities in real-time, allowing AI models to access and manipulate media assets during conversations.
Why this server?
Built-in support for accessing OpenAI models, allowing prompt execution and generation using GPT models.
Why this server?
Provides tools for OpenAI's frameworks to interact with Extend APIs, enabling agents to manage virtual cards, credit cards, and transactions.
Why this server?
Allows GPT models to access Globalping's network testing capabilities through natural language interactions
Why this server?
Leverages OpenAI models (including gpt-4.1-2025-04-14) as part of the Similarity-Distance-Magnitude (SDM) estimator ensemble for verification