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Accessing the OpenAI API

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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.

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    A simple MCP server for interacting with OpenAI assistants. This server allows other tools (like Claude Desktop) to create and interact with OpenAI assistants through the Model Context Protocol.
    Last updated
    9
    37
    MIT

  • Why this server?

    Enables AI agents to interact with multiple LLM providers (OpenAI, Anthropic, Google, DeepSeek) through a standardized interface.

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    Enables AI agents to interact with multiple LLM providers (OpenAI, Anthropic, Google, DeepSeek) through a standardized interface, making it easy to switch between models or use multiple models in the same application.
    Last updated
    1
    6
    MIT

  • Why this server?

    Enables interaction with MongoDB databases, a common data storage solution when using LLMs and related services such as OpenAI.

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    A Model Context Protocol (MCP) server that enables LLMs to interact directly with MongoDB databases. Query collections, inspect schemas, and manage data seamlessly through natural language.
    Last updated
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    173
    MIT

  • Why this server?

    Provides access to Redis databases enabling storage and retrieval of context data for interacting with OpenAI's services.

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    Provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.
    Last updated
    117
    31
    MIT

  • 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.

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    MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
    Last updated
    19
    MIT

  • Why this server?

    Enables code generation and code modification via Large Language Models, allowing users to perform actions more easily with the OpenAI API.

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    A Model Context Protocol server implementation that enables connection between OpenAI APIs and MCP clients for coding assistance with features like CLI interaction, web API integration, and tool-based architecture.
    Last updated
    35

  • 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.

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    Run your own MCP server for over 2,500 apps and APIs. * Run your own MCP server for over 2,500 APIs * Manage servers for your users, in your own app. * Connect accounts, configure params, and make API requests, all via tools * Fully-managed OAuth and credential storage )
    Last updated
    198
    11,483

  • Why this server?

    Every GenAIScript can be exposed as a MCP server automatically.

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    GenAIScript is a JavaScript runtime dedicated to build relaible, automatable LLM scripts. Every GenAIScript can be exposed as a MCP server automatically.
    Last updated
    43
    2,896
    MIT

  • 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.

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    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.
    Last updated
    4
    12
    MIT