Discover 372 MCPs built for OpenAI.
Enables Retrieval Augmented Generation (RAG) capabilities for Large Language Models (LLMs) by indexing and retrieving relevant information from documents.
Enables LangChain ReAct Agents to interact with Model Context Protocol (MCP) servers using TypeScript.
Enables interaction with various large language models via the Model Context Protocol (MCP).
Generates images from text descriptions using OpenAI's DALL-E API, demonstrating how to build MCP tools for Large Language Models.
Wraps OpenAI's built-in tools as Model Context Protocol (MCP) servers, enabling use with Claude and other MCP-compatible models.
Exposes OpenAI agents and tools as a Model Context Protocol (MCP) server.
Generates images from text prompts using OpenAI's DALL-E 3 model via the Model Context Protocol.
Provides a unified Model Context Protocol server to access and combine responses from multiple Large Language Model APIs, including ChatGPT, Claude, and DeepSeek.
Generates and edits images using OpenAI's DALL-E API through a Model Context Protocol (MCP) server.
Enables the construction of intelligent, multi-agent systems with a modular, extensible framework.
Provides an intelligent orchestration layer for AI agents, adding meta-cognition, adaptive model selection, and real-time cost tracking.
Connects AI assistants to Buildable projects for contextual understanding, task management, and real-time collaboration.
Facilitates parallel execution of AI tasks by bridging MCP-compatible clients with Codex and Gemini CLI agents and delivering structured responses.
Transcribes audio files using OpenAI's Whisper API within an MCP server environment.
Orchestrates AI workflows for healthcare applications using a graph-based architecture.
Provides semantic search capabilities by leveraging a local Qdrant vector database and OpenAI embeddings.
Manages memories programmatically with local storage, semantic search, and OpenAI embeddings.
Provides voice status updates using OpenAI's text-to-speech API.
Provides HTTP access to Multiple Command Protocol (MCP) tools via a REST API.
Converts natural language queries into optimized SQL, offering enterprise-grade support for large databases and multiple AI providers.
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