MCP Servers - OpenAI and Flux Integration

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MCP Servers - OpenAI and Flux Integration について

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#mcp-servers #openai #flux-integration

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概要

What is MCP Servers - OpenAI and Flux Integration?

This repository contains MCP (Model Context Protocol) servers for integrating with OpenAI's o1 model and Flux capabilities. It is intended for developers who want to use the MCP protocol to interact with these AI models.

How to use MCP Servers - OpenAI and Flux Integration?

Clone or fork the repository, set environment variables (OPENAI_API_KEY, REPLICATE_API_TOKEN, and FLUX_API_KEY) in a .env file, then start the servers using the provided JSON configurations. The openai-server command runs the OpenAI o1 server, and the flux-server command runs the Flux server.

Key features of MCP Servers - OpenAI and Flux Integration

Direct access to OpenAI's o1‑preview model via MCP
Streaming support for OpenAI server interactions
Temperature and top_p parameter control for o1
System message configuration for o1
State‑of‑the‑art image generation (Flux server)

Use cases of MCP Servers - OpenAI and Flux Integration

Use OpenAI o1‑preview for advanced reasoning tasks within an MCP workflow
Generate high‑quality images via the Flux image model through MCP
Build MCP‑based applications that combine language and image generation

FAQ from MCP Servers - OpenAI and Flux Integration

What API keys are required?

For the OpenAI server you need an OPENAI_API_KEY. For the Flux server you need a REPLICATE_API_TOKEN and a FLUX_API_KEY (set in the .env file).

How are the servers configured?

Each server is configured via a JSON snippet in the mcpServers block. The OpenAI server uses the command openai-server, and the Flux server uses flux-server. Environment variables provide the required API tokens.

Is streaming supported?

Yes, the OpenAI server includes streaming support for model responses.

What models does each server use?

The OpenAI server uses the o1‑preview model. The Flux server uses a state‑of‑the‑art image generation model.

How should API keys be handled?

Store API keys securely using environment variables (e.g., in a .env file). Follow best practices outlined in the repository’s SECURITY.md.

よくある質問

What API keys are required?

For the OpenAI server you need an `OPENAI_API_KEY`. For the Flux server you need a `REPLICATE_API_TOKEN` and a `FLUX_API_KEY` (set in the `.env` file).

How are the servers configured?

Each server is configured via a JSON snippet in the `mcpServers` block. The OpenAI server uses the command `openai-server`, and the Flux server uses `flux-server`. Environment variables provide the required API tokens.

Is streaming supported?

Yes, the OpenAI server includes streaming support for model responses.

What models does each server use?

The OpenAI server uses the o1‑preview model. The Flux server uses a state‑of‑the‑art image generation model.

How should API keys be handled?

Store API keys securely using environment variables (e.g., in a `.env` file). Follow best practices outlined in the repository’s `SECURITY.md`.

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

MCP-Mirror

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