OpenAI MCP 서버

ChessAgine

Transforms large language models into a chess-aware AI buddy for personalized live chat training and game analysis.

Agentic Commerce Protocol Demo

Showcases a complete sandbox implementation of OpenAI's Agentic Commerce Protocol, demonstrating agent-driven transactions between an LLM client, merchant, and payment service provider.

Unichat

Connects to various AI providers like OpenAI, MistralAI, and Anthropic using the MCP protocol, allowing interaction via tools or predefined prompts.

Simple OpenAI Assistant

Enables other tools like Claude to create and interact with OpenAI assistants through the Model Context Protocol.

Company Docs

Transforms an organization's documentation into an AI-powered knowledge base, offering instant answers via chat interfaces and AI assistant integrations.

OpenAI Code Assistant

Provides a command-line and API-based coding assistant utilizing OpenAI APIs, function calling, and streaming.

Second Opinion

Consult multiple AI models within Claude conversations to gain diverse perspectives.

Imagegen

Provides an MCP server for generating and editing images using OpenAI's models.

SecBench

Systematically benchmarks and provides a playground for testing the security of Model Context Protocols.

Logic

Executes advanced logic primitives and cognitive operations, leveraging the Model Context Protocol (MCP).

Polar Llama

Orchestrate parallel inference calls to large language models (LLMs) using Polars dataframes, significantly enhancing efficiency for bulk queries.

Outsource

Enables AI applications to delegate tasks to multiple model providers through a unified interface.

Actions Adapter

Converts an MCP server to a GPT actions compatible API.

Qdrant

Provides semantic search capabilities by leveraging a local Qdrant vector database and OpenAI embeddings.

Memgpt

Provides persistent memory and multi-model LLM support via a Model Context Protocol (MCP) server.

Rag

Enables Retrieval Augmented Generation (RAG) capabilities for Large Language Models (LLMs) by indexing and retrieving relevant information from documents.

ESP32-CAM AI

Enables an ESP32-CAM to interact with AI/LLM applications by exposing camera, LED, and system controls via the Model Context Protocol.

123

Simplifies the creation and operation of MCP servers and clients with minimal code.

Flutter AI Labs

Explore a curated collection of LLM-powered Flutter applications showcasing Retrieval Augmented Generation (RAG), AI Agents, Multi-Agent Systems, and Voice Agents for mobile development.

FastGPT Dataset

Manages knowledge base searches by automating workflow orchestration and intent recognition.