Discover 459 MCPs built for OpenAI.
Enables high-performance, scalable image generation using DALL·E 3 through a standardized Model Context Protocol (MCP) interface.
Provides a basic server implementation for use with the MCP CLI.
Gathers news articles and leverages AI for processing and analysis.
Enables users to interact with LLMs and MCP-compatible servers from the command line.
Orchestrates multiple agent wrappers and tool servers, presenting a single OpenAI-compatible API to clients.
Orchestrates simultaneous queries across leading AI models to deliver synthesized, high-confidence responses.
Provides semantic memory capabilities using the Qdrant vector database with configurable embedding models for efficient vector search and retrieval.
Provides a secure boilerplate for exposing AI-compatible APIs to various large language models and agents using the Model Context Protocol.
Manages todos and integrates with Google Calendar using natural language through OpenAI's Assistant API and Model Context Protocol (MCP).
Transforms street addresses into local zoning data for AI agents, integrating with platforms like OpenAI Agent Builder and ChatKit.
Facilitates universal API chat integration for various AI platforms within Node.js applications.
Enhances and cleans raw prompts using AI, improving clarity, actionability, and effectiveness.
Retrieves and cleans official documentation content for popular AI and Python ecosystem libraries, preparing it for LLM consumption.
Provides an image editing service akin to OpenAI's, allowing text-based models to interpret and manipulate images through advanced processing and AI-powered functions.
Instantly generate ATS-friendly Word and PDF resumes from text, LinkedIn profiles, or existing files, enhanced by AI and optimized for job applications.
Provides a comprehensive Model Context Protocol (MCP) server application demo built with Windows Forms, integrating LLM API calls, a modern chat interface, and tool management.
Integrates the OpenAI Responses API as a lightweight Model Context Protocol (MCP) server, empowering models with autonomous web search capabilities.
Manages macOS calendars using natural language processing via a single agent-based interface.
Automates travel bookings through an intelligent agent architecture leveraging a reflection pattern.
Extracts key-value pairs from arbitrary, noisy, or unstructured text using LLMs and provides type-safe output in JSON, YAML, or TOML formats.
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