Discover 372 MCPs built for OpenAI.
Analyzes forensic evidence to identify people and their connections, generating Python code for network visualization.
Automates the process of writing essays by reasoning, planning, and executing tasks through a custom AI agent.
Facilitates an interactive chat experience with AI-powered historical headmaster personas from Sydney Grammar School.
Offers a secure Model Context Protocol (MCP) server providing specialized tools for mathematical calculations, health assessments, and code analysis.
Provides SQLite-backed memory for agents, featuring a CLI and programmatic API for robust storage and retrieval of information.
Facilitates mathematical calculations and large language model interactions through a standardized Model Context Protocol interface.
Facilitates AI-powered conversations through a secure, full-stack chat application with real-time messaging and persistent chat threads.
Interacts with a Model Context Protocol server, enabling users to send commands, query data, and manage resources.
Enables AI models to perform real-time web searches using OpenAI's web search preview feature.
Provides a multi-tenant Retrieval-Augmented Generation (RAG) server for querying isolated document collections.
Enhances coding prompts with intelligent context collection and multi-provider AI support, integrating seamlessly with development environments.
Integrates the Model Control Protocol (MCP) with OpenAI's API, enabling OpenAI to access and use tools exposed by an MCP server.
Facilitates a comprehensive Voice AI server solution designed for white-label agencies and business automation, enabling advanced communication and AI assistant capabilities.
Automates API testing for various AI host environments using Postman Collections.
Provides a minimal Next.js application to build OpenAI Apps SDK-compatible Model Context Protocol (MCP) servers with native widget rendering in ChatGPT.
Empowers car search and sales processes with an intelligent AI-driven web application capable of understanding natural language requests.
Implements a Model Context Protocol server compatible with both OpenAI and Claude, facilitating communication between AI models and external contexts.
Develops AI agents utilizing OpenAI technologies.
Implements a Model Context Protocol (MCP) client using the OpenAI API.
Enables agents to test language model prompts with different providers and configurations.
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