ClaudeBatch Learning Generator

Example Use Cases

• 1

  Create structured learning resources (topics and subtopics) interactively via MCP tools and export each topic as a formatted file.

• 2

  Run large batches of content-generation jobs with system-prompt caching to significantly reduce token costs across repeated prompts.

• 3

  An MCP server that integrates with Claude Desktop or Docker (stdio transport) to iteratively generate and refine system prompts, templates, and CSV-driven variable sets.

Description

ClaudeBatch provides an MCP server (Learning Resource Generator) and command-line tooling to interactively design learning resource structures, generate system prompts and templates, create variables CSVs, and run batch content generation with Claude. It includes system prompt caching to reduce token costs, template variable substitution, fallback handling, and outputs per-topic files in a responses directory. The MCP server can be connected to clients like Claude Desktop (via stdio or Docker) to guide the content-creation workflow and automate large-scale generation tasks.