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.
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
Development
Install dependencies:
Build the server:
For development with auto-rebuild:
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
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.
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hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
Facilitates interactive feature discussions with AI guidance, maintaining context and providing intelligent recommendations for implementation, architecture, and best practices in software development.
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