guidance-for-deploying-sap-abap-accelerator-for-amazon-q-developer: ABAP Accelerator is an MCP server that helps organizations create, test, document, and transform SAP ABAP code

by aws-solutions-library-samples · MCP Server · ★ 54

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install guidance-for-deploying-sap-abap-accelerator-for-amazon-q-developer

git clone https://github.com/aws-solutions-library-samples/guidance-for-deploying-sap-abap-accelerator-for-amazon-q-developer.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 73/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

abapacceleratoramazonawscodeeccgenerative-aimcps4hanasap

Quick Facts

Stars54
Forks20
LanguagePython
CategoryMCP Server
LicenseMIT-0
Quality Score73/100
Open Issues7
Last Updated2026-08-11
Created2025-11-13
Platformsaws, mcp, python
Est. Tokens~25k

About guidance-for-deploying-sap-abap-accelerator-for-amazon-q-developer

ABAP Accelerator MCP Server Enterprise-grade Model Context Protocol (MCP) server for SAP ABAP development, enabling AI-powered coding assistance through Amazon Q Developer and Kiro. Table of Contents Overview Deployment Options Environment Guidance Option 1: Local Deployment (Without Docker) Option 2: Local Deployment (With Docker) Option 3: Central Deployment (ECS Fargate) Environment Variables...

Compatible Skills

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  • sap-skills — semantic(0.50)+rare_topics+similar_pop+shared_platform (47%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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