Documentation Search
CreatedPicardRaphael
Provides unified access to multiple framework documentations with intelligent name resolution and asynchronous processing.
About
This documentation search server, powered by FastMCP, offers AI systems a unified interface for intelligently searching across the documentation of popular frameworks and libraries. It ensures that AI models can quickly access and retrieve relevant information from various documentation sources, streamlining the development process.
Key Features
- Comprehensive test suite for reliability.
- Supports multiple libraries including Next.js, Tailwind CSS, and Framer Motion.
- Asynchronous processing for improved performance.
- 8 GitHub stars
- Intelligent search with smart name resolution and DuckDuckGo integration.
- Robust error handling with network timeout management and input validation.
Use Cases
- Resolving library name variations for accurate search results.
- Quickly retrieving documentation for multiple frameworks within AI systems.
- Improving the efficiency of web request handling for documentation retrieval.
