ETABS Documentation Assistant

Example Use Cases

• 1

  Semantically search proprietary ETABS documentation locally without uploading data to external services.

• 2

  Provide contextual ETABS documentation snippets to AI models during conversations.

• 3

  That require a self-hosted MCP server integrating local embedding models and vector databases.

Description

This MCP server allows AI models like Anthropic's Claude to perform semantic searches on proprietary ETABS documentation by leveraging local sentence transformer models and ChromaDB for vector storage. Users must provide their own legally obtained ETABS documentation files, which are indexed once via a Python script. The server then responds to natural language queries with relevant text snippets and source references, enhancing AI model context without relying on external APIs.