Schema | mcp-feedback-enhanced

mcp-feedback-enhanced

Describes the environment variables required to run the server.

Name	Required	Description	Default
`MCP_DEBUG`	No	Debug mode toggle. Set to 'true' to enable debug output.	false
`MCP_LANGUAGE`	No	Force UI language. Options: 'zh-TW', 'zh-CN', 'en'. Leave unset for auto-detection.	auto-detect
`MCP_WEB_HOST`	No	Web UI host binding. Use '0.0.0.0' for remote access.	127.0.0.1
`MCP_WEB_PORT`	No	Web UI port number (1024-65535).	8765
`MCP_DESKTOP_MODE`	No	Enable desktop application mode. Set to 'true' to use native desktop app.	false

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.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }
`logging`	{}
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`extensions`	{ "io.modelcontextprotocol/ui": {} }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
interactive_feedbackA	Interactive feedback collection tool for LLM agents. USAGE RULES: During any process, task, or conversation, whether asking, replying, or completing phased tasks, you must call this tool to ask for feedback. Unless receiving termination instructions, all steps must repeatedly call this tool. Whenever user feedback is received, if the feedback content is not empty, you must call this tool again and adjust behavior based on the feedback content. Only when the user explicitly indicates "end" or "no more interaction needed" can you stop calling this tool, and the process is considered complete. You should summarize what have done, and provide project directory through args to let user know what you have done to provide feedback for next step.
get_system_infoA	獲取系統環境資訊 Returns: str: JSON 格式的系統資訊

Name

Description

Interactive feedback collection tool for LLM agents.

USAGE RULES:

During any process, task, or conversation, whether asking, replying, or completing phased tasks, you must call this tool to ask for feedback.
Unless receiving termination instructions, all steps must repeatedly call this tool.
Whenever user feedback is received, if the feedback content is not empty, you must call this tool again and adjust behavior based on the feedback content.
Only when the user explicitly indicates "end" or "no more interaction needed" can you stop calling this tool, and the process is considered complete.
You should summarize what have done, and provide project directory through args to let user know what you have done to provide feedback for next step.

獲取系統環境資訊

Returns: str: JSON 格式的系統資訊

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Minidoracat/mcp-feedback-enhanced'

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