ai-image-merge-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| AI_IMAGE_MERGE_API_KEY | Yes | The API key for AI Image Merge. Create one in Settings → API Keys. | |
| AI_IMAGE_MERGE_API_URL | No | The base URL of the AI Image Merge API. Defaults to https://aiimagemerge.com. | https://aiimagemerge.com |
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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| merge_imagesA | Combine exactly two public JPG, PNG, or WebP image URLs into one AI-generated image. The call consumes credits from the configured AI Image Merge account and returns a task id for polling. Website: https://aiimagemerge.com |
| get_merge_statusA | Check the status of an image merge task created by merge_images and return the generated image URL when it is ready. Website: https://aiimagemerge.com |
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 2 tools
merge_images starts a new image merge task, while get_merge_status checks an existing task's status and retrieves the result. Their purposes are clearly distinct and there is no overlap that would confuse an agent.
Both tool names follow a consistent verb_noun pattern: merge_images and get_merge_status. The verbs clearly indicate actions (merge/check) and the nouns describe the target resource.
The server has exactly two operations needed for its narrow purpose: submitting a task and polling for its result. This is well-scoped and does not feel too thin or too heavy.
The tool set covers the full workflow from initiating an image merge to retrieving the generated image URL. There are no obvious missing operations for the stated purpose of merging two images via the AI Image Merge service.