Offline MCP server for SAP ABAP static analysis, ABAP Cloud readiness scoring, and RAP scaffolding. It enables AI agents to lint ABAP source, compare reworks, check released APIs, and generate RAP business objects without needing an SAP system.
Warning. Serious findings were identified. Review the full report before connecting. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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jackxiong11894
Source: Glama
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EVAL_API_KEYEVAL_BASE_URLEVAL_MODEEVAL_MODELTool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
9/9 tools missing one or more hints — lint_abap (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); check_cloud_readiness (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); scaffold_rap_bo (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +6 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Shell command execution
1 child_process/subprocess call in production code — runs shell commands (evals/run.mjs:32)
Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.
Secrets stay with their owner
1 secret/sensitive value flow into network calls (EVAL_API_KEY → dynamic)
Audit where credentials are sent. A NOTION_TOKEN should only reach api.notion.com — never a third-party host.
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