Enhanced Documentation Search
Provides AI models with real-time access to technical documentation, library popularity data, and career insights to inform software development decisions.
About
This intelligent Model Context Protocol (MCP) server transforms AI assistants like Claude into personal development advisors. It grants real-time access to an extensive database of documentation, dynamic library popularity data, and up-to-date career insights. By providing data-driven recommendations tailored to individual experience levels and project needs, it enables developers to make smarter technology choices, understand market trends, and navigate their career path more effectively.
Key Features
- Intelligent Recommendations: Offers smart suggestions for libraries and frameworks based on user skill level and project needs.
- Data-Driven Insights: Provides real-time popularity scores, job market trends, and learning time estimates for technologies.
- Career-Focused Guidance: Delivers salary insights, trending technologies, and market positioning advice.
- Lightning Fast Performance: Utilizes smart caching for rapid response times (2-5 seconds).
- Specialized AI Tools: Includes 7 distinct tools for documentation search, library comparison, trend analysis, and more.
- 2 GitHub stars
Use Cases
- Making informed technology stack decisions based on real-time market data.
- Augmenting AI assistants for software development queries and recommendations.
- Gaining career insights and identifying high-demand skills in the tech industry.
Sponsored