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Glama
EarthChen

mcp-feedback-enhanced

by EarthChen
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Hybrid

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
MCP_DEBUGNoDebug modefalse
MCP_LANGUAGENoForce UI language (zh-TW, zh-CN, en)
MCP_WEB_HOSTNoWeb UI host binding127.0.0.1
MCP_WEB_PORTNoWeb UI port8765
MCP_DESKTOP_MODENoDesktop application modefalse

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

CapabilityDetails
tasks
{
  "list": {},
  "cancel": {},
  "requests": {
    "tools": {
      "call": {}
    },
    "prompts": {
      "get": {}
    },
    "resources": {
      "read": {}
    }
  }
}
tools
{
  "listChanged": true
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
interactive_feedbackA

Interactive feedback collection tool for LLM agents.

USAGE RULES:

  1. During any process, task, or conversation, whether asking, replying, or completing phased tasks, you must call this tool to ask for feedback.

  2. Unless receiving termination instructions, all steps must repeatedly call this tool.

  3. 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.

  4. Only when the user explicitly indicates "end" or "no more interaction needed" can you stop calling this tool, and the process is considered complete.

  5. 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.

IMPORTANT: The response may include a [NEW TASK] prefix. This means the user explicitly wants to switch to a completely new task. When you see [NEW TASK], you should: (1) deprioritize any ongoing work, (2) clear your TODO list, and (3) focus entirely on the new request that follows.

Args: project_directory: Project directory path for context summary: Summary of AI work completed for user review timeout: Timeout in seconds for waiting user feedback (default: 600 seconds)

Returns: list: List containing TextContent and MCPImage objects representing user feedback

get_system_infoA

獲取系統環境資訊

Returns: str: JSON 格式的系統資訊

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4/5.0

Scored across 2 tools

Disambiguation5/5

The two tools serve entirely different purposes—interactive_feedback collects user feedback during tasks, while get_system_info retrieves system environment information. There is no overlap or ambiguity in their intended use.

Naming Consistency3/5

Both names are readable and descriptive, but they follow different patterns: interactive_feedback is an adjective-noun compound, while get_system_info uses a verb-noun construction. The inconsistency is noticeable but not chaotic.

Tool Count2/5

Only two tools are provided, which feels thin for a server that claims to be 'feedback-enhanced'. Additionally, get_system_info is unrelated to feedback, making the set seem arbitrary and under-scoped.

Completeness2/5

The feedback tool covers a single interactive loop, but there are no supporting tools for managing feedback history or controlling the process. get_system_info is unrelated and does not help complete any feedback lifecycle, leaving significant gaps.

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources