Interactive Feedback MCP

interactive_feedback

Request contextual interactive feedback for project directories and summaries using the human-in-the-loop MCP server, enabling direct textual responses from AI assistants during development.

Instructions

Request interactive feedback for a given project directory and summary

Input Schema

Name	Required	Description	Default
`project_directory`	Yes	Path to the project directory
`summary`	Yes	Summary of the request or context

Input Schema (JSON Schema)

{
  "properties": {
    "project_directory": {
      "description": "Path to the project directory",
      "type": "string"
    },
    "summary": {
      "description": "Summary of the request or context",
      "type": "string"
    }
  },
  "required": [
    "project_directory",
    "summary"
  ],
  "type": "object"
}

Install Server

HTTP connection URL

Other Tools from Interactive Feedback MCP

interactive_feedback

Related Tools

interactive_feedback
@noopstudios/interactive-feedback-mcp
interactive_feedback
@nhatpmlab/interact-mcp
interactive_feedback
@nhatpm3124/interact-MCP
interactive_feedback
@duolabmeng6/interactive-feedback-mcp
pick_image
@keizman/mcp-feedforward
review_code
@jaggederest/mcp_reviewer

MCP directory API

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

curl -X GET 'https://glama.ai/api/mcp/v1/servers/zivhdinfo/interactive-feedback-mcp-nodejs'

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