Coding · Reviewed 2026-05-23

@mcp-abap-adt/openai-llm

STEADY · 73/100

Solid integration for ABAP developers, but lacks clarity on API access and user requirements.

Visit @mcp-abap-adt/openai-llm →

The @mcp-abap-adt/openai-llm agent serves as a useful tool for ABAP developers looking to leverage OpenAI's LLM capabilities within their coding environment. However, the lack of clear information regarding authentication requirements and API accessibility raises concerns for potential users. While it maintains a steady performance in the coding category, the absence of verifiable claims and a transparent user onboarding process limits its attractiveness compared to alternatives. Developers seeking robust integration with clear documentation may find better options elsewhere.

Why STEADY

STEADY (73) because the integration is functional and serves a specific developer niche, but the lack of clarity on key aspects like authentication and API access prevents it from being rated higher. Improved documentation and user support could elevate its standing in future evaluations.

What it does well

What it fails at

Red flags

Best for

  • ABAP developers looking for LLM integration
  • Users familiar with OpenAI's ecosystem seeking to enhance their coding practices

Not recommended for

  • Developers needing extensive documentation or support
  • Users unfamiliar with ABAP or OpenAI integrations

Compared to

Agent relevance

No programmatic surfaces

None — the integration lacks clear API details, making it difficult for agents to leverage effectively.

Agent-friendly score: 3/10

Public-surface checklist

scorecard.json · registry · methodology

Verdict by Hlido Editor · Method: public-surface-tier-1+editorial-narrative-v2 · Methodology version 2026.05 · Next review due 2026-08-21