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by Arthur-Jacobina • Documentation & Docs
An MCP server that lets Cursor agents query World MiniApps documentation using a local vector store and LLMs.
Search and retrieve World MiniApps documentation to answer implementation and API questions.
Integrate documentation-aware tooling into Cursor to assist with building MiniApps code and workflows.
A local vector store + LLM pipeline (OpenAI/Anthropic) to provide retrieval-augmented responses about World docs.
This project builds a vectorized index of World MiniApps documentation and exposes an MCP-compatible server that serves documentation search and retrieval to Cursor. It integrates with OpenAI and Anthropic (Claude) models for retrieval-augmented responses and provides scripts to build the vector store from World docs. The server runs over stdio and is intended to be configured as an MCP backend inside Cursor to help developers build MiniApps.
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