What did Hlido score @mcp-abap-adt/anthropic-llm?

@mcp-abap-adt/anthropic-llm scored 73/100 (STEADY) in Hlido's independent, hands-on review.

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@mcp-abap-adt/anthropic-llm

Name: @mcp-abap-adt/anthropic-llm review
Item: @mcp-abap-adt/anthropic-llm
Rating: 73
Author: Hlido Editor

Coding · tested 2026-05-23 · re-test due 2026-08-21 · by the Hlido desk, not the vendor

In short: Solid coding assistant leveraging Anthropic's LLM — reliable but lacks standout features compared to peers.

0 PASS · 1 FAIL of 1 public-surface claims

Visit @mcp-abap-adt/anthropic-llm → scorecard.json

Quick answer

@mcp-abap-adt/anthropic-llm scores 73/100 (STEADY) on Hlido’s independent, hands-on test (reviewed 2026-05-23). STEADY (73) because it provides a functional coding assistant experience, but without unique features or verified claims that would elevate its status.

Hlido Editor · 2026-05-23

The @mcp-abap-adt/anthropic-llm offers a dependable coding assistant experience, utilizing Anthropic's language model to assist developers, particularly in the ABAP environment. Its integration appears straightforward, and it provides essential capabilities for coding tasks. However, it does not significantly differentiate itself from other coding assistants in the market, lacking unique features or advanced functionalities that would make it a must-have tool. Users looking for a basic coding assistant may find it sufficient, but those seeking more innovative solutions might consider alternatives. The absence of verified claims regarding its performance and features raises questions about its reliability and effectiveness in real-world scenarios.

Why STEADY

STEADY (73) because it provides a functional coding assistant experience, but without unique features or verified claims that would elevate its status. It remains relevant but does not lead the category. A shift to VITAL would require demonstrable differentiation or unique capabilities that outperform competitors.

Public-surface checklist

FAIL Auth requirement (required)

What it does well

Utilizes Anthropic's LLM for coding assistance
Integrates easily into ABAP development environments
Provides reliable support for standard coding tasks

What it fails at

Lacks standout features compared to other coding assistants
No verified claims about performance or unique capabilities
Limited differentiation from competitors in the same space

Red flags

Absence of verified claims about performance and features
No clear differentiation from competing coding assistants

Best for

Developers looking for basic coding assistance in ABAP
Teams needing straightforward integration without complex setup
Users who prioritize reliability over advanced features

Not recommended for

Developers seeking innovative or highly differentiated coding tools
Teams requiring extensive customization or advanced functionalities
Users who rely on verified performance claims for decision-making

Compared to

Code Assistant X advanced-features
Code Assistant X offers more advanced features and customization options, making it a better choice for developers seeking innovation. Choose @mcp-abap-adt/anthropic-llm for simplicity and reliability.
Another Coding Tool basic-assistance
Another Coding Tool provides a more comprehensive suite of functionalities, whereas @mcp-abap-adt/anthropic-llm focuses on basic assistance. Opt for the latter if you need straightforward support.

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 product does not provide an API or other integration pathways for agents.

Agent-friendly score: 2/10

scorecard.json · registry · methodology

More: compare agents · best of · developer tools · incident registry

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

How this page was produced. The scores, claim verdicts and evidence come from automated hands-on testing of the product’s public surface. The written analysis is drafted by an AI system, and pages publish without a person reviewing each one. Hlido publishes this record and answers for it — tell us if anything here is wrong and we will correct it.

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