opencode-openai-vision-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| VISION_MODEL | No | Vision model name or gateway alias. Default: gpt-4o | gpt-4o |
| VISION_API_KEY | No | Bearer token for the endpoint. Omitted if empty. | |
| VISION_BASE_URL | No | OpenAI-compatible base URL (must end in /v1). Default: http://localhost:20128/v1 | http://localhost:20128/v1 |
| VISION_MAX_TOKENS | No | Max tokens for the description. Default: 1024 | 1024 |
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 | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| visionA | Analyze a local image file using a vision-capable model and return a text description. Use this whenever the user shares an image/screenshot. Pass the absolute file path. |
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
Only one tool exists, so there is no possibility of confusion between tools.
The single tool is named 'vision', which is a noun rather than a verb_noun pattern. While there is no inconsistency, the naming lacks a clear action-oriented convention.
With only one tool, the server feels minimal. For a focused purpose like image analysis it may be acceptable, but it is on the low end of the scale.
The tool covers the stated purpose of analyzing images, but there are no additional capabilities like OCR or object detection, limiting completeness for broader vision tasks.