together-mcp-server
MCP server enabling high-quality image generation via Together AI's Flux.1 Schnell model.
Install / Use
claude mcp add manascb1344 -- npx -y github:manascb1344/together-mcp-serverIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
OtherSupported Platforms
Our assessment of together-mcp-server
together-mcp-server scores 67/100 on our quality scale, 281st of 301 Other skills we index.
Its MCP Server is 5.1 KB long, well organised into 18 sections with 9 code examples: a solid amount of guidance for an agent.
It has 10 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 18 months ago. Expect some instructions to reference tool versions or APIs that have since changed.
- Our last check on 2026-09-29 found the source still online.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 80/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
together-mcp-server compared with similar skills
All 4 of these similar skills score higher than together-mcp-server; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| together-mcp-server (this skill)by manascb1344 | 67 | 10 | 18mo ago | MCP Server |
| taste-skillby Leonxlnx | 100 | 111.0k | 1d ago | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 109.5k | 1d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 79.0k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.8k | today | CLAUDE.md |
Frequently asked questions
- How do I install together-mcp-server?
- Run
claude mcp add manascb1344 -- npx -y github:manascb1344/together-mcp-server. The install tabs above show the steps for each supported agent. - Which AI agents does together-mcp-server work with?
- It is written for Claude Code, Claude Desktop, Cursor and Cline, as a MCP Server file. Other agents that read the same format can often use it too.
- Is together-mcp-server safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 80/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is together-mcp-server still maintained?
- The repository was last updated about 18 months ago. Expect some instructions to reference tool versions or APIs that have since changed.
Skill content
View source on GitHubImage Generation MCP Server
A Model Context Protocol (MCP) server that enables seamless generation of high-quality images using the Flux.1 Schnell model via Together AI. This server provides a standardized interface to specify image generation parameters.
<div align="center"> </div> <div align="center"> <a href="https://glama.ai/mcp/servers/y6qfizhsja"> <img width="380" height="200" src="https://glama.ai/mcp/servers/y6qfizhsja/badge" alt="Image Generation Server MCP server" /> </a> </div>Features
- High-quality image generation powered by the Flux.1 Schnell model
- Support for customizable dimensions (width and height)
- Clear error handling for prompt validation and API issues
- Easy integration with MCP-compatible clients
- Optional image saving to disk in PNG format
Installation
npm install together-mcp
Or run directly:
npx together-mcp@latest
Configuration
Add to your MCP server configuration:
<summary>Configuration Example</summary>{
"mcpServers": {
"together-image-gen": {
"command": "npx",
"args": ["together-mcp@latest -y"],
"env": {
"TOGETHER_API_KEY": "<API KEY>"
}
}
}
}
Usage
The server provides one tool: generate_image
Using generate_image
This tool has only one required parameter - the prompt. All other parameters are optional and use sensible defaults if not provided.
Parameters
{
// Required
prompt: string; // Text description of the image to generate
// Optional with defaults
model?: string; // Default: "black-forest-labs/FLUX.1-schnell-Free"
width?: number; // Default: 1024 (min: 128, max: 2048)
height?: number; // Default: 768 (min: 128, max: 2048)
steps?: number; // Default: 1 (min: 1, max: 100)
n?: number; // Default: 1 (max: 4)
response_format?: string; // Default: "b64_json" (options: ["b64_json", "url"])
image_path?: string; // Optional: Path to save the generated image as PNG
}
Minimal Request Example
Only the prompt is required:
{
"name": "generate_image",
"arguments": {
"prompt": "A serene mountain landscape at sunset"
}
}
Full Request Example with Image Saving
Override any defaults and specify a path to save the image:
{
"name": "generate_image",
"arguments": {
"prompt": "A serene mountain landscape at sunset",
"width": 1024,
"height": 768,
"steps": 20,
"n": 1,
"response_format": "b64_json",
"model": "black-forest-labs/FLUX.1-schnell-Free",
"image_path": "/path/to/save/image.png"
}
}
Response Format
The response will be a JSON object containing:
{
"id": string, // Generation ID
"model": string, // Model used
"object": "list",
"data": [
{
"timings": {
"inference": number // Time taken for inference
},
"index": number, // Image index
"b64_json": string // Base64 encoded image data (if response_format is "b64_json")
// OR
"url": string // URL to generated image (if response_format is "url")
}
]
}
If image_path was provided and the save was successful, the response will include confirmation of the save location.
Default Values
If not specified in the request, these defaults are used:
- model: "black-forest-labs/FLUX.1-schnell-Free"
- width: 1024
- height: 768
- steps: 1
- n: 1
- response_format: "b64_json"
Important Notes
- Only the
promptparameter is required - All optional parameters use defaults if not provided
- When provided, parameters must meet their constraints (e.g., width/height ranges)
- Base64 responses can be large - use URL format for larger images
- When saving images, ensure the specified directory exists and is writable
Prerequisites
- Node.js >= 16
- Together AI API key
- Sign in at api.together.xyz
- Navigate to API Keys settings
- Click "Create" to generate a new API key
- Copy the generated key for use in your MCP configuration
Dependencies
{
"@modelcontextprotocol/sdk": "0.6.0",
"axios": "^1.6.7"
}
Development
Clone and build the project:
git clone https://github.com/manascb1344/together-mcp-server
cd together-mcp-server
npm install
npm run build
Available Scripts
npm run build- Build the TypeScript projectnpm run watch- Watch for changes and rebuildnpm run inspector- Run MCP inspector
Contributing
Contributions are welcome! Please follow these steps:
- Fork the repository
- Create a new branch (
feature/my-new-feature) - Commit your changes
- Push the branch to your fork
- Open a Pull Request
Feature requests and bug reports can be submitted via GitHub Issues. Please check existing issues before creating a new one.
For significant changes, please open an issue first to discuss your proposed changes.
License
This project is licensed under the MIT License. See the LICENSE file for details.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
