Enables MCP clients to list, retrieve, compile, create, and update prompts, including managing versions, labels, tags, configuration, and production promotion.
Enables management and invocation of AWS Bedrock managed prompts with support for variable substitution, streaming responses, batch processing, and multiple AI models including Claude, Titan, Llama, and Mistral.
Allows users to save, organize, and manage AI prompts, folders, and tags directly within MCP-compatible tools like Claude and Cursor. It supports version history tracking, prompt searching, and the ability to save public templates to a personal collection.
Local-first MCP server for versioning, searching, evaluating, and improving AI prompts. Agents can fetch prompts, report outcomes, add notes, and propose human-approved variations.