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Mcp Feature Discussion

@squirrelogicon 10 months ago
1 MIT
FreeCommunity
AI Systems
A TypeScript-based MCP Server for intelligent feature discussions and guidance.

Overview

What is Mcp Feature Discussion

mcp-feature-discussion is a TypeScript-based Model Context Protocol (MCP) server designed to facilitate intelligent feature discussions between developers and AI. It serves as an AI lead developer, providing guidance on feature implementation and maintaining context throughout discussions.

Use cases

Use cases for mcp-feature-discussion include collaborative feature planning, architectural design discussions, tracking feature evolution over time, and providing context-aware recommendations during development.

How to use

To use mcp-feature-discussion, configure it in the Claude Desktop application by adding the server configuration to the appropriate JSON file. Install dependencies using npm, build the server, and run it to engage in discussions about feature implementation.

Key features

Key features include an AI lead developer interface for natural discussions, persistent memory for tracking feature discussions and decisions, intelligent development guidance, and context management to maintain project-wide context and dependencies.

Where to use

mcp-feature-discussion can be used in software development environments where teams require structured discussions about feature implementation, architectural decisions, and best practices.

Content

feature-discussion MCP Server

A TypeScript-based Model Context Protocol (MCP) server that facilitates intelligent feature discussions between developers and AI. This server acts as an AI lead developer, providing guidance on feature implementation, maintaining context of discussions, and helping teams make informed architectural decisions.

Example Discussion

This server provides:

  • Interactive discussions about feature implementation and architecture
  • Persistent memory of feature discussions and decisions
  • Intelligent guidance on development approaches and best practices
  • Context-aware recommendations based on project history

Features

AI Lead Developer Interface

  • Engage in natural discussions about feature requirements
  • Get expert guidance on implementation approaches
  • Receive architectural recommendations
  • Maintain context across multiple discussions

Feature Memory Management

  • Persistent storage of feature discussions
  • Track feature evolution and decisions
  • Reference previous discussions for context
  • Link related features and dependencies

Development Guidance

  • Best practices recommendations
  • Implementation strategy suggestions
  • Architecture pattern recommendations
  • Technology stack considerations

Context Management

  • Maintain project-wide feature context
  • Track dependencies between features
  • Store architectural decisions
  • Remember previous discussion outcomes

Installation

To use with Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "feature-discussion": {
      "command": "/path/to/feature-discussion/build/index.js"
    }
  }
}

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

Contributing

We welcome contributions! Please see our Contributing Guidelines for details on how to get started, and our Code of Conduct for community guidelines.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Tools

No tools

Comments

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