claude-image-recognition-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| IMAGE_RECOGNITION_MODEL | Yes | Vision model id, e.g. glm-4v-plus | |
| IMAGE_RECOGNITION_DETAIL | No | low/high/auto | high |
| IMAGE_RECOGNITION_API_KEY | Yes | API key | |
| IMAGE_RECOGNITION_BASE_URL | Yes | OpenAI-compatible root, e.g. https://open.bigmodel.cn/api/paas/v4 | |
| IMAGE_RECOGNITION_MAX_TOKENS | No | 64–8192 | 2048 |
| IMAGE_RECOGNITION_TIMEOUT_MS | No | per-request timeout | 60000 |
| IMAGE_RECOGNITION_MAX_FILE_MB | No | local file size cap | 15 |
| IMAGE_RECOGNITION_DOWNLOAD_URL | No | 1 = download URL images to base64 | 0 |
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": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| recognize_imageA | Recognize / analyze an image via an OpenAI-compatible vision model. Supports a local file path, an http(s) URL, or the literal 'clipboard'. Returns the model's textual answer to your prompt. |
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 a single tool, there is no possibility of confusion between tools; the tool's name and description clearly define its purpose.
The tool name follows a clear verb_noun convention (recognize_image), and since there is only one tool, naming consistency is trivially maintained.
The server exposes a single tool, which is on the edge of being too few for a typical MCP server. While the tool is substantive and not trivial, the surface area feels thin compared to servers that offer multiple related operations.
The tool covers the core operation of image recognition/analysis with flexible input sources (path, URL, clipboard). Minor gaps might include additional controls or metadata, but the primary workflow is well-covered.