image-recognition-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OPENAI_MODEL | No | Vision model | gpt-4o-mini |
| OPENAI_API_KEY | Yes | OpenAI-compatible API key | |
| OPENAI_BASE_URL | No | Override for proxies / compatible gateways | |
| OPENAI_TIMEOUT_MS | No | Request timeout in milliseconds | 60000 |
| LOCAL_FILE_ALLOWED_ROOTS | No | Comma-separated local path allowlist | |
| LOCAL_FILE_INPUT_ENABLED | No | Set to 'false' to disable local file path input | true |
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_imageB | Recognize and analyze an image using the configured vision model. If no image is provided, reads the current clipboard image. Also supports local file paths, http(s) URLs, base64, data URLs, and the literal "clipboard". |
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 ambiguity; the agent will always select the correct tool.
A single tool name is trivially consistent with itself, as there is no other tool to conflict.
One tool for image recognition is thin but acceptable if the tool is versatile. The tool handles many input formats, but more specialized tools might be expected.
The tool covers image recognition well with multiple input methods, but lacks additional operations like model selection or detailed output control.