@mcp-abap-adt/openai-llm
Coding · tested 2026-05-23 · re-test due 2026-08-21 · by the Hlido desk, not the vendor
In short: Solid integration for ABAP developers, but lacks clarity on API access and user requirements.
0 PASS · 5 FAIL of 5 public-surface claims
Quick answer
@mcp-abap-adt/openai-llm scores 73/100 (STEADY) on Hlido’s independent, hands-on test (reviewed 2026-05-23). 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. Pricing was not findable on the public surface when tested.
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.
Public-surface checklist
- FAIL Homepage loads (required)
- FAIL Primary value prop (required)
- FAIL Cta present (required)
- FAIL Pricing or access
- FAIL Evidence or demo
What it does well
- Integrates OpenAI's LLM capabilities into the ABAP development environment
- Provides a specialized tool for ABAP developers
- Maintains a steady performance in coding tasks
What it fails at
- Lacks clear information on authentication requirements
- No verifiable claims or user testimonials available
- Documentation is insufficient for new users or those unfamiliar with the integration
Red flags
- Unclear authentication requirements may hinder onboarding
- Absence of verified user feedback or case studies
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
Pricing & access
- Pricing findable on the public surfaceFAIL (tested 2026-05-23)
Derived from Hlido-held evidence only (engine checklist + editorial text); quotes are verbatim from the scorecard; not vendor-supplied; re-derived daily. Verify current prices on the vendor's pricing page. Last verified 2026-05-23.
Compared to
-
Abap GPT Integration
documentation-support
ABAP GPT Integration offers clearer documentation and user support, making it a better choice for developers needing guidance. Choose @mcp-abap-adt/openai-llm for a more straightforward LLM integration if documentation is less of a concern.
-
Openai API
general-purpose-usage
OpenAI's API provides extensive capabilities with comprehensive documentation. Choose it for broader use cases beyond ABAP development, while @mcp-abap-adt/openai-llm is tailored specifically for ABAP users.
Agent relevance
No programmatic surfaces
Agentic-Commerce Readiness 9/100 · CLOSED
Independent readiness for agent delegation & transaction. How it’s scored · check live
None — the integration lacks clear API details, making it difficult for agents to leverage effectively.
Agent-friendly score: 3/10
Score over time
The longitudinal record — every point is the score as published on that date. Raw series.
scorecard.json · registry · methodology
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