CAP

Acerca de

Designed to empower AI models in accelerating the development of SAP Cloud Application Programming Model (CAP) applications, this server acts as a crucial knowledge base for 'agentic coding'. It offers two primary search mechanisms: a 'Compiled Model Search' (`search_model`) for understanding the project's CDS definitions, entities, services, and relationships, and an 'Embedding-Based Documentation Search' (`search_docs`) for navigating CAP documentation using semantic similarity. By providing AI models with precise, context-aware information from both the project's code and official documentation, it enables more intelligent and accurate code generation and assistance.

Características Principales

• Perform fuzzy searches against compiled CDS models (CSN) for robust definition lookup.
• Search and analyze CDS model definitions (entities, services, actions, relationships, annotations, HTTP endpoints).
• 2 GitHub stars
• Utilize embedding-based search for relevant CAP documentation content.
• Retrieve CAP documentation, code snippets, and API usage patterns through semantic search.
• Integrate with various Model Context Protocol (MCP) clients including VS Code Chat and opencode.

Casos de Uso

• Guide AI models to retrieve relevant CAP documentation and API examples before suggesting code changes.
• Facilitate AI-assisted development (agentic coding) of CAP applications.
• Enable AI models to understand and query project-specific CDS structures and relationships.