OpenAI is an AI research and deployment company dedicated to ensuring that artificial general intelligence benefits all of humanity.
Why this server?
Supports integration with OpenAI models through API key configuration, enabling LLM capabilities within the server environment.
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?
Supports OpenAI Agents to access and utilize web data through the MCP server
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?
Provides compatibility with the OpenAI Agents SDK, allowing users to connect to the Atla MCP server for LLM evaluation services.
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?
Provides integration with OpenAI's API for programmatic usage with the MCP server.
Why this server?
Allows OpenAI Agents to use MiniMax's Text to Speech, voice cloning, and video/image generation capabilities
Why this server?
Uses OpenAI to generate professional descriptions of projects and skills based on codebase analysis for enhancing JSON Resumes
Why this server?
Provides integration with OpenAI's vision models (like GPT-4o) for analyzing captured screenshots through the OpenAI API.
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?
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?
Provides import capability for ChatGPT conversation history into the Basic Memory knowledge base.
Why this server?
Seamless integration with OpenAI models, enabling the use of OpenAI's AI capabilities with tools and prompts.
Why this server?
Integrates with OpenAI services for transcription (Whisper) and content processing, allowing for AI-powered content extraction and summarization.
Why this server?
Enables access to OpenAI model information, providing tools to list available models and get detailed model specifications
Why this server?
Leverages OpenAI's embedding models for semantic search capabilities, supporting multiple models including text-embedding-3-small/large.
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 custom GPT models to communicate with the user's shell via a relay server
Why this server?
Provides access to OpenAI's API services through automatic tool generation from OpenAPI specifications
Why this server?
Uses OpenAI's API for embeddings generation to power the vector search capabilities of the RAG documentation system
Why this server?
Integrates with OpenAI Agents SDK to enable AI assistants to query and manage CockroachDB data through natural language.
Why this server?
Enables AI-powered development using OpenAI models for code generation, refactoring, test generation, and documentation
Why this server?
Leverages OpenAI's capabilities to summarize video content and generate professional LinkedIn posts with customizable tone and style.
Why this server?
Allows sending requests to OpenAI models like GPT-4o-mini via the MCP protocol
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?
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?
Compatible with OpenAI agents through the MCP protocol for managing song requests and monitoring queues
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?
Will support integration with ChatGPT app through MCP protocol
Why this server?
Enables searching through OpenAI's documentation for API usage and model capabilities
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 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 models for both text processing and embedding generation
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?
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 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?
Supports GPT models from OpenAI as an AI provider for summarization capabilities
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?
Enables integration with OpenAI Agents SDK to access SEO data including backlinks, keywords, and SERP information through the Model Context Protocol
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?
Provides a direct alternative to OpenAI Operator, allowing OpenAI models to interact with and control macOS systems through the MCP protocol.
Why this server?
Integrated with the test harness to process natural language queries into FHIR operations on the Medplum server.
Why this server?
Integration with OpenAI's language models via their API for AI-driven browser automation
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?
Optimizes interaction with OpenAI-powered assistants by implementing a feedback loop that reduces unnecessary tool invocations and improves resource efficiency
Why this server?
Utilizes OpenAI models for document classification, organization, summarization, and knowledge base generation through the OpenAI API
Why this server?
Provides text generation with GPT models and image generation with DALL-E 2 and DALL-E 3 models
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?
Supports OpenAI's vision models (GPT-4o) for analyzing images through the OpenRouter API.
Why this server?
Utilizes OpenAI's text-to-speech capabilities to provide voice responses during presentations
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?
Provides access to OpenAI services including chat completion, image generation, text-to-speech, speech-to-text, and embedding generation
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 OpenAI-compatible API endpoints for text completion
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?
Allows sending chat messages to OpenAI's API and receiving responses from models like gpt-4o
Why this server?
Integration with OpenAI is mentioned as a pending implementation under Bot Integrations.
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?
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?
Leverages OpenAI's GPT-4o model through OpenRouter for vision-based image analysis tasks
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?
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?
References accessing OpenAI API keys stored in environment variables, highlighting the potential security risk of exposing these credentials
Why this server?
Leverages OpenAI's embedding capabilities for processing and semantically searching documents in Qdrant collections.
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?
Uses OpenAI's GPT-4o-mini model to generate commit messages based on code changes
Why this server?
Allows access to OpenAI models via the LLM_MODEL_PROVIDER environment variable and OPENAI_API_KEY
Why this server?
Provides access to OpenAI's websearch tool to query for current information from the web
Why this server?
Integrates with OpenAI's API for LLM functionality, enabling AI-powered browser control with customizable parameters
Why this server?
Enables text generation using OpenAI models through Pollinations.ai's API service
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?
Potentially compatible with OpenAI's API for models that support tool/function calling capabilities
Why this server?
Utilizes OpenAI's GPT models for the architectural expertise provided by the MCP server
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?
Enables OpenAI models (GPT-4, GPT-3.5) to interact with TCP devices through natural language
Why this server?
Integrates with OpenAI API for code analysis, providing detailed feedback, improvement suggestions, and best practices recommendations.
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?
Built-in support for accessing OpenAI models, allowing prompt execution and generation using GPT models.
Why this server?
Leverages OpenAI's models for AI-driven task management and development support
Why this server?
Enables integration with OpenAI's ChatGPT via the MCP protocol, allowing authentication and authorization for ChatGPT to access tools and resources.
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?
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-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?
Utilizes OpenAI GPT for natural language to SQL conversion in database queries
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?
Enables querying OpenAI's o3 model with file context and automatically constructed prompts from markdown and code files
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 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?
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?
Utilizes OpenAI API format for model interactions, with configuration options for API key, base URL, and model selection
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?
Enables integration with ChatGPT through plugins or custom integrations, providing real-time weather data and forecasts
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
Why this server?
Used internally for article summarization functionality, though this capability is not directly exposed via MCP prompts.
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?
Uses OpenAI's API to generate Stern's philosophical guidance and mentorship responses through the msg_stern tool.
Why this server?
Enables image generation capabilities using OpenAI's DALL-E 2 and DALL-E 3 APIs, with support for creating new images from text prompts, editing existing images, and generating variations of images.
Why this server?
Supports OpenAI as an LLM provider through API key integration
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 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?
Supported as a model option for the text summarization feature
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?
Utilizes GPT-4-turbo model to analyze and provide detailed descriptions of images from URLs
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?
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?
Provides access to Deepseek reasoning content through OpenAI API
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?
Enables interaction with OpenAI's models (GPT-4o-mini and O3-mini) through the DuckDuckGo AI chat tool.
Why this server?
Uses OpenAI's Triton language for custom CUDA kernels that optimize model performance.
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?
Leverages OpenAI for analysis and report generation as part of the research workflow, processing collected information into structured knowledge
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?
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?
Enables function calling with the Deriv API through OpenAI models, offering capabilities to fetch active trading symbols and account balances.
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?
Uses OpenAI's API for server functionality, with configuration for API key, base URL, and model selection (specifically gpt-4o-mini)
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?
Provides integration with OpenAI's API for high-performance AI processing, using OpenAI's models for embedding, chunking, and querying operations on indexed documents.
Why this server?
Uses OpenAI API for generating vector embeddings for crawled content to enable semantic search
Why this server?
Integrates with OpenAI's API, providing access to GPT models and related capabilities.
Why this server?
Provides unified gateway access to OpenAI models through the multi-LLM support system for executing AI agent tasks
Why this server?
Leverages OpenAI's LLM capabilities for inference operations and embeddings within the knowledge graph framework
Why this server?
Utilizes Azure OpenAI for embedding documents to enable semantic search functionality across parliamentary data.
Why this server?
Supports token counting using OpenAI's tiktoken tokenizer with configurable encodings (e.g., o200k_base for GPT-4o, cl100k_base for GPT-4/3.5)
Why this server?
Utilizes GPT-4 for personalized pension consultations, recommendations, and retirement scenario analysis
Why this server?
Leverages OpenAI models to automatically generate content summaries and detailed explanations for blog posts based on titles in baserCMS.
Why this server?
Enables implicit prompt caching by structuring prompts with cacheable ConPort content at the beginning, optimizing OpenAI interactions for reduced token costs and latency.
Why this server?
Enables vector embeddings generation using OpenAI's embedding models for document indexing and semantic search capabilities.
Why this server?
Integration with OpenAI's API for AI-powered web content analysis and summarization
Why this server?
Integration with OpenAI models to create AI agents capable of performing Starknet blockchain operations.
Why this server?
Integrates with OpenAI models like GPT-4o for LLM-based data quality assessment using various evaluation prompts
Why this server?
Integrates with OpenAI's GPT models to power natural language to SQL query conversion and database exploration capabilities
Why this server?
Leverages OpenAI's models for natural language processing and SQL generation
Why this server?
Supports integration with OpenAI's models for semantic search and code assistance capabilities
Why this server?
Uses GPT-4o-mini for AI-powered DAX query generation to translate natural language questions into DAX queries for Power BI
Why this server?
Connects to OpenAI's API to enable natural language processing for AEM content management tasks
Why this server?
Uses OpenAI's embeddings for semantic search to intelligently match user queries to appropriate workflows
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?
Enables integration with OpenAI's vision models for screen content analysis, supporting API key configuration and custom endpoints for visual processing tasks
Why this server?
Supports integration with OpenAI models via LiteLLM for large language model operations and generation tasks
Why this server?
Enables seamless connection with OpenAI's services for advanced AI capabilities.
Why this server?
Supports integration with OpenAI Agents Python SDK, enabling OpenAI models to leverage WhatsApp functionality through the MCP interface.
Why this server?
Supports OpenAI models for API generation, enabling the use of OpenAI's language models during the API configuration discovery process.
Why this server?
Enables connection to OpenAI's language models for AI-powered chat and assistant capabilities
Why this server?
Provides audio transcription capabilities through OpenAI's Whisper model, supporting various models (base, small, medium, large, large-v2, large-v3) and output formats.
Why this server?
Allows switching to OpenAI as the primary AI provider for generating embeddings and responses
Why this server?
Allows cloud-based OpenAI services to access temporal awareness functionality through HTTP transport, providing time-related tools and calculations.
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?
Integrates with OpenAI Agents SDK to enable AI agents to perform database operations and queries on CockroachDB.
Why this server?
Enables compatibility with OpenAI API standards when ENABLE_OPEN_AI_COMP_API option is enabled, allowing clients to interact with the privateGPT server using OpenAI-compatible API calls.
Why this server?
Includes benchmarking against OpenAI models and potential integration capabilities.
Why this server?
Uses OpenAI's GPT-4.1-mini model to power the key-value extraction capabilities, handling the extraction, annotation, and type evaluation steps in the processing pipeline.
Why this server?
Leverages Azure OpenAI for semantic code search capabilities, finding code based on meaning rather than exact text matches.
Why this server?
Enables AI task generation through OpenAI models (with default model gpt-4o), allowing scheduled creation of AI-generated content.
Why this server?
Integrates with OpenAI as an MCP host to enable AI agent interaction with Stability blockchain
Why this server?
Leverages OpenAI embeddings for semantic code search and understanding, enabling natural language queries for code
Why this server?
Uses OpenAI's API for generating embeddings, enabling semantic search and vector retrieval of crawled content
Why this server?
Integrates OpenAI models (including O3) to enable complex problem-solving and reasoning capabilities through a unified MCP interface
Why this server?
Provides deep knowledge about the OpenAI API, functioning as a ChatGPT Deep Research connector and offering search and fetch tools to access up-to-date information about OpenAI SDKs and community forums.
Why this server?
Utilizes OpenAI's embedding models (text-embedding-3-small, text-embedding-3-large, text-embedding-ada-002) to generate vector embeddings for semantic search capabilities
Why this server?
Provides access to GPT models for text generation and Whisper for speech-to-text capabilities with streaming support
Why this server?
Provides access to OpenAI's APIs including GPT-4o, o3-mini, o3 models for chat completions, DALL-E 2 and DALL-E 3 for image generation, and embedding models for semantic search and analysis
Why this server?
Supported AI provider for the MCP server, allowing connection to OpenAI API with models like GPT-4o.
Why this server?
Uses OpenAI API for LLM processing, embeddings, and vision capabilities including GPT-4o-mini for text, GPT-4o for image analysis, and text-embedding-3-large for embeddings
Why this server?
Allows GPT models to access Globalping's network testing capabilities through natural language interactions
Why this server?
Uses OpenAI's API to power the browser automation capabilities, requiring an API key for operation
Why this server?
Enables management of Azure OpenAI resources, including checking rate limits of deployed models and other configurations
Why this server?
Supports use of OpenAI models like GPT-3.5-turbo for processing natural language queries to SQL databases, configurable through the server settings.
Why this server?
Utilizes OpenAI's language models for converting natural language questions into SQL queries and analyzing database schemas.
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?
Powers the RAG query functionality, enabling the retrieval of relevant information from indexed documents.
Why this server?
Provides access to locally running LLM models via LM Studio's OpenAI-compatible API endpoints, enabling text generation with custom parameters like temperature and token limits.
Why this server?
Uses OpenAI models for AI-powered tag generation, relationship analysis, and semantic search capabilities through configurable model selection for both chat and embeddings.
Why this server?
Supports OpenAI LLMs for executing MCP server tools through the LangChain ReAct Agent.
Why this server?
Uses OpenAI embeddings for semantic search capabilities across Roblox documentation
Why this server?
Uses OpenAI for generating personalized fitness plans based on workout history and user preferences
Why this server?
Connects with OpenAI models to process API definitions and interact with Swagger-documented endpoints.
Why this server?
Uses OpenAI embeddings to power semantic code search, converting code into vector representations for meaning-based retrieval
Why this server?
Referenced as a required integration with API key setup, and mentioned in code structure as a provider integration for the chat system.
Why this server?
Uses OpenAI's DALL-E 3 to generate and upload featured images for WordPress posts based on content, with automatic prompting and SEO-friendly filenames.
Why this server?
Utilizes OpenAI's models as an alternative provider with fallback support for AI-powered task generation and analysis.
Why this server?
Uses OpenAI's embedding models and GPT-4o for code indexing, semantic search, and intelligent retrieval of codebase information
Why this server?
Integrates with OpenAI's API services, requiring API keys for AI model access and functionality
Why this server?
Integrates with OpenAI APIs for authentication as part of the MCP setup process.
Why this server?
Integrates with OpenAI's API for powering the research functionality, requiring an API key for operation.
Why this server?
Integrates with OpenAI services through an API key configuration, enabling AI capabilities for the MCP server
Why this server?
Provides integration with Azure OpenAI services for LLM completions, supporting both streaming and non-streaming responses with configurable models and deployments.
Why this server?
Connects to OpenAI's ChatGPT models (including GPT-4o, GPT-4o-mini, GPT-4-turbo, GPT-3.5-turbo), enabling AI queries, code reviews, and participation in multi-AI debates and comparisons.
Why this server?
Integrates with OpenAI's GPT-4 model as part of the multi-model orchestration system for advanced reasoning strategies
Why this server?
Provides integration with OpenAI's DALL-E API for image generation with full support for all available options, enabling fine-grained control over the image generation process
Why this server?
Integrates with OpenAI models to power the agent that responds to system resource usage queries using the MCP server's tools
Why this server?
Allows ChatGPT to utilize GraphQL operations as tools through OpenAI's function calling capability, enabling interaction with any GraphQL API.
Why this server?
Uses OpenAI's embedding service for generating vector representations of documents, enabling semantic search across files with configurable API endpoints.
Why this server?
Optimizes resource usage with OpenAI's API by reducing the number of premium tool calls through consolidated feedback requests
Why this server?
Uses OpenAI's embedding models and LLMs for memory management, with configurable model selection through environment variables.
Why this server?
Utilizes OpenAI's embedding models for semantic search capabilities, enabling efficient retrieval of relevant content from the knowledge base.
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?
Integrates with OpenAI models like GPT-4o, enabling the creation of agents that use OpenAI's language models for text generation and reasoning.
Why this server?
Integrates with OpenAI's API for data analysis tasks, requiring an API key for operation