OpenMM Documentation Search

Example Use Cases

• 1

  Perform semantic search across OpenMM molecular dynamics documentation to locate relevant explanations, parameters, and code snippets.

• 2

  Integrate documentation retrieval into LLM workflows via the MCP protocol (e.g., Claude Desktop) to provide context-aware answers.

• 3

  Low-latency, vector-based retrieval of API usage and simulation setup instructions using a FAISS index and configurable embedding models.

Description

This repository implements a Model Context Protocol (MCP) server that vectorizes OpenMM documentation and enables semantic retrieval using embeddings and a FAISS index. It supports English and Japanese, provides command-line and HTTP interfaces, and is optimized for integration with MCP-enabled clients such as Claude Desktop. The server helps find relevant documentation sections, code examples, simulation parameters, and usage instructions, and allows configurable embedding models and index parameters. Index creation is required before use and can be tuned for performance and memory usage.