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Why this server?
Enables interaction with OpenAI assistants, allowing creation and manipulation through the Model Context Protocol, making it relevant for accessing the OpenAI API.
Why this server?
Enables AI agents to interact with multiple LLM providers (OpenAI, Anthropic, Google, DeepSeek) through a standardized interface.
Why this server?
Enables interaction with MongoDB databases, a common data storage solution when using LLMs and related services such as OpenAI.
Why this server?
Provides basic mathematical operations for LLMs to perform calculations necessary for more advanced interactions with the OpenAI API and services.
Why this server?
Provides access to Redis databases enabling storage and retrieval of context data for interacting with OpenAI's services.
Why this server?
Integrates Google's OR-Tools constraint programming solver with Large Language Models, enabling AI models to set model parameters and retrieve analyzed solutions related to OpenAI services.
Why this server?
Enables code generation and code modification via Large Language Models, allowing users to perform actions more easily with the OpenAI API.
Why this server?
Run your own MCP server for over 2,500 APIs, and manage them with AI via the Model Context Protocol. Also supports oauth and credential storage.
Why this server?
Every GenAIScript can be exposed as a MCP server automatically.
Why this server?
A lightweight bridge that wraps OpenAI's built-in tools (like web search and code interpreter) as Model Context Protocol servers, enabling their use with Claude and other MCP-compatible models.