Together AI Image Server

The Together AI Image Server is a lightweight, TypeScript‑based MCP server that bridges Claude and other MCP‑compatible assistants with Together AI’s powerful image generation models. By exposing a single, well‑defined tool——the server allows conversational agents to transform natural language prompts into high‑quality images without the need for custom integration code. This solves a common pain point in AI workflows: the difficulty of coupling an assistant’s dialogue capabilities with external generation services that use REST APIs or other protocols.

At its core, the server accepts a textual prompt and optional parameters such as diffusion steps and the number of images to produce. It forwards these requests to Together AI’s API, retrieves the resulting image URLs, caches them locally for quick reuse, and returns both remote links and local file paths. This dual‑output strategy is particularly valuable for developers who want to embed generated images directly into chat windows or store them for later analysis. The tool’s simplicity means it can be dropped into any MCP‑compatible environment with minimal configuration—just set the and point Claude to the server’s executable.

Key capabilities include:

• Prompt‑to‑image conversion: Turn any descriptive text into visual content with a single API call.
• Parameter control: Adjust diffusion steps (1‑4) and batch size (up to 4 images) to balance quality, speed, and cost.
• Local caching: Reduce network latency by storing images on disk while still providing URLs for remote access.
• Cross‑platform compatibility: Written in TypeScript and requiring only Node.js, the server runs on macOS, Windows, and Linux.

Typical use cases span creative content generation, rapid prototyping of visual concepts, and enhancing conversational experiences with dynamic imagery. For example, a design assistant can ask Claude to “draw a futuristic cityscape at sunset,” receive the generated image URLs, and embed them directly into the chat or export them for further refinement. In education, tutors can generate illustrative diagrams on demand to explain complex topics.

Integrating the server into an AI workflow is straightforward: add its configuration to Claude Desktop’s , and the assistant will automatically expose the tool. Once invoked, Claude can embed image links in its responses or trigger downstream processes that manipulate the cached files. The server’s clear API contract and minimal dependencies make it an ideal plug‑in for any project that requires on‑demand image creation without reinventing the integration layer.