Hypermodel Docs
Enhances AI coding agents by providing them with continuously updated and contextually relevant documentation to improve their performance.
About
Hypermodel Docs is an MCP server designed to significantly improve the performance of AI coding agents by supplying them with precise, auto-updated, and contextually relevant documentation. It integrates seamlessly with popular IDEs like Cursor, VS Code, and Ampcode, enabling agents to instantly access and leverage internal and external knowledge bases. By exposing dedicated tools such as `list-docs`, `search-docs`, and `index`, Hypermodel Docs ensures that coding agents always have the most accurate information at their fingertips, leading to more efficient and effective code generation and problem-solving.
Key Features
- Supports major IDEs including Cursor, VS Code, and Ampcode.
- Enables natural language queries for efficient documentation search.
- Offers dedicated tools (`list-docs`, `search-docs`, `index`) for agents to interact with documentation.
- Integrates seamlessly with AI coding agents like Claude Code and Amp.
- 0 GitHub stars
- Provides auto-updated and context-aware documentation.
Use Cases
- Indexing new documentation sources to expand the knowledge base available to coding agents.
- Enabling AI coding agents to search and retrieve specific information from technical documentation (e.g., 'how to use "contact" objects').
- Allowing agents to understand and explain complex functions or parameters from codebases (e.g., 'explain amp.tools.stopTimeout').
