SAP Clean Core MCP Server
Related Servers
Alternatives to SAP Clean Core MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityAmaintenanceEnables AI agents to check real-time SAP object release status for ABAP Cloud and Clean Core, and find successor objects, via MCP or REST API.7246 npm27MIT
- FlicenseAqualityDmaintenanceEnables AI-driven analysis of SAP transport requests, including metadata retrieval, code diff analysis, and risk detection for ABAP objects.2-
- FlicenseBqualityDmaintenanceEnables querying ABAP programs, classes, function modules, and other objects from SAP systems with OAuth 2.0 authentication.2-
- AlicenseAqualityBmaintenanceEnables AI agents to securely read and write SAP ABAP development objects via the ADT REST API, enforcing policy-based guardrails such as package/namespace allow-lists, read-only mode, human approvals, and audit logging.82MIT
- AlicenseCqualityDmaintenanceFacilitates interaction with SAP ABAP systems via ADT APIs, enabling object management, transport handling, and code analysis.100211 npmMIT
- AlicenseAqualityDmaintenanceEnables AI agents to read, write, activate, and transport ABAP code in SAP systems via ABAP ADT REST API, without needing SAP GUI.24396 npmMIT
TDQS
Scored across 10 tools
Each tool targets a distinct operation: bulk classification, level explanation, successor search, statistics, object type listing, single lookup, partner search, component-based search, pattern search, and semantic search. There is no overlap or ambiguity.
All tools share the 'cc_' prefix and most follow a verb_noun pattern (e.g., classify_objects, list_object_types). However, a few like 'partner_objects' and 'semantic_search' deviate from this pattern, introducing minor inconsistency.
With 10 tools covering classification, search, statistics, and partner objects, the count is well-scoped for the SAP Clean Core compliance domain. Each tool serves a clear purpose without redundancy.
The tool set provides comprehensive coverage for Clean Core compliance: bulk and single object classification, level explanation, successor discovery, statistics, multiple search methods (exact, pattern, semantic, by component, by partner), and object type listing. No obvious gaps are present.