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	false
`MCP_LANGUAGE`	No	Force UI language: zh-TW, zh-CN, or en	Auto-detect
`MCP_WEB_HOST`	No	Web UI host binding. Use 127.0.0.1 for local only or 0.0.0.0 for remote access.	127.0.0.1
`MCP_WEB_PORT`	No	Web UI port (1024-65535)	8765
`MCP_DESKTOP_MODE`	No	Enable desktop application mode (true/false)	false

Features and capabilities supported by this server

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
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/Ming-321/mcp-feedback-enhanced'

If you have feedback or need assistance with the MCP directory API, please join our Discord server