MCP OpenVision
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 |
|---|---|
| image_analysisA | |
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 'image_analysis' has a clearly defined purpose that cannot be confused with any other tool in this server.
The single tool follows a clear verb_noun pattern ('image_analysis'), and with only one tool, there is no inconsistency to evaluate. The naming is straightforward and descriptive.
A single tool is too few for a server named 'MCP OpenVision' that implies broader vision capabilities. While the tool is well-described, the server feels thin and limited in scope, lacking complementary tools like image generation, comparison, or batch processing that would make it more complete.
The server is severely incomplete for a vision domain. It only provides image analysis, missing essential operations like image generation, editing, transformation, or multi-image processing. Agents will hit dead ends when needing to perform common vision tasks beyond analysis.