This server facilitates AI-driven feature discussions, acting as an AI lead developer to guide implementation and architecture decisions.
Start new feature discussions with titles (
begin_feature_discussion
)Provide input to ongoing discussions (
provide_feature_input
)Receive expert guidance and recommendations on implementation approaches
Maintain persistent memory of discussions, decisions, and dependencies
Track feature evolution throughout the project lifecycle
Get best practices and technology stack recommendations
Debug interactions using the MCP Inspector
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.
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.
Related Resources
Related MCP Servers
- -securityAlicense-qualityServes as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices.Last updated -8977MIT License
- AsecurityAlicenseAqualityProvides intelligent context management for AI development sessions, allowing users to track token usage, manage conversation context, and seamlessly restore context when reaching token limits.Last updated -812Apache 2.0
- AsecurityAlicenseAqualityProvides interactive user feedback capabilities for AI assistants, helping reduce excessive tool calls by prompting users for feedback before completing tasks.
- AsecurityAlicenseAqualityProvides AI assistants with persistent memory of your project architecture, development history, and technical decisions, allowing them to give context-aware coding help without needing repeated explanations.Last updated -16611MIT License