Powers an Model Context Protocol (MCP) server with documentation sourced from a local file system.
Sponsored
Seta empowers developers to create code and configurations by providing an MCP server that leverages local documentation. By fetching documentation from your local file system, it grants complete control over the context provided to your AI assistant. It allows you to work entirely offline, maintain fine-grained control over documentation versions, and quickly iterate on documentation, making it immediately available to your LLM.
Key Features
01Works offline
02Provides fine-grained control over documentation versions
03Enables rapid iteration on documentation
04Uses a manifest.json file for library configuration
05Integrates with VSCode, Cursor, Windsurf, and Claude Desktop
060 GitHub stars
Use Cases
01Developing in environments with limited or no internet connectivity
02Providing context to AI assistants using local documentation
03Creating code and configuration for Salesforce development
