Free Image Generation MCP Server

Created By
together-mcp-servera year ago
This MCP server provides FREE image generation service using the Together AI Flux Schnell model. Can change the Model as per needs to use other Together AI models
Overview

What is Free Image Generation MCP Server?

The Free Image Generation MCP Server is a Model Context Protocol (MCP) server that allows users to generate high-quality images using the Together AI Flux Schnell model. It provides a standardized interface for specifying image generation parameters.

How to use Free Image Generation MCP Server?

To use the server, install it via npm and configure it with your Together AI API key. You can then call the generate_image tool with a prompt to create images.

Key features of Free Image Generation MCP Server?

  • High-quality image generation using the Flux.1 Schnell model
  • Customizable image dimensions (width and height)
  • Clear error handling for prompt validation and API issues
  • Easy integration with MCP-compatible clients
  • Option to save generated images in PNG format

Use cases of Free Image Generation MCP Server?

  1. Generating images for creative projects or artwork.
  2. Creating visual content for marketing and social media.
  3. Assisting developers in generating images for applications or websites.

FAQ from Free Image Generation MCP Server?

  • What is required to run the server?

You need Node.js >= 16 and a Together AI API key.

  • Can I customize the image generation parameters?

Yes! You can specify dimensions, model, and other parameters when generating images.

  • Is there a limit to the number of images I can generate?

The server allows you to generate multiple images, but be mindful of API usage limits set by Together AI.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
together-mcp-server
Star
-
Language
-
License
-

Recommend Servers

View All
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

13 hours ago
Shippo
@Shippo

21 hours ago