CAP
Provides comprehensive context for AI models to assist in the development of SAP Cloud Application Programming Model (CAP) applications.
About
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.
Key Features
- 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).
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- 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.
Use Cases
- 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.
