Together AI Image MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| TOGETHER_API_KEY | Yes | Your Together AI API key from https://api.together.xyz/ |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_imageC | Generate an image using Together AI |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'generate_image' has a clear and distinct purpose, making it impossible for an agent to misselect between non-existent alternatives.
The naming pattern cannot be inconsistent with only one tool. The tool name 'generate_image' follows a verb_noun convention, which is straightforward and predictable, though there are no other tools to compare it against for consistency.
A single tool for an image generation server feels thin and under-scoped. While it covers the core functionality, typical image generation APIs offer more operations (e.g., variations, edits, or style transfers), making this count borderline too few for the apparent domain.
The tool set is severely incomplete for an image generation domain. It only provides generation, with no obvious gaps to assess since there are no other tools, but the lack of common operations like editing, upscaling, or batch processing suggests significant coverage issues for agent workflows.