MCP Feedback Collector
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 |
|---|---|
| collect_feedbackA | |
| pick_imageB | 弹出图片选择对话框,让用户选择图片文件或从剪贴板粘贴图片。 用户可以选择本地图片文件,或者先截图到剪贴板然后粘贴。 |
| get_image_infoB | |
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 3 tools
The three tools have distinct primary purposes—collecting feedback, getting image info, and picking an image—but there is some overlap between get_image_info and pick_image since both handle images. An agent might occasionally misselect between them when the task involves image processing, though their descriptions clarify the difference.
The tool names follow a consistent verb_noun pattern (collect_feedback, get_image_info, pick_image), which is clear and predictable. There are no deviations in naming style, making it easy for an agent to parse and understand the tool functions.
With only 3 tools, the server feels thin for a 'Feedback Collector' domain, as it lacks tools for managing or analyzing feedback (e.g., list_feedback, delete_feedback). However, the tools cover basic collection and image handling, so it's borderline but not severely lacking.
The server is incomplete for its stated purpose of collecting feedback. It provides tools to collect and handle images but lacks essential operations like storing, retrieving, or summarizing feedback. This creates significant gaps that could cause agent failures in feedback management workflows.