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C
Emerging
74/100
4 days ago

LLM-Learning-Engine-Gui

The intention of this Application is to provide a Gui to Train local LLM Models into type specificified Agents and eventually intergrate a Custom Agent-Orchestration system with configurable (and trainable) agents for a main (trainable) llm to utilize to achieve User Goals. The system should utilize built in systems to Auto-Optimize models per type

→ MorphOmegaResearch/LLM-Learning-Engine-Gui· listed on github_code

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

Code Verified⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

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Who stands behind it

MorphOmegaResearch

Source: github_code

Is this your MCP?

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GitHub

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// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 3 credentials: HUGGINGFACE_TOKEN, HF_TOKEN, HUGGINGFACEHUB_API_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configTRAINING_DATA_FILES
configTRAINING_EPOCHS
configTRAINING_BATCH_SIZE
configTRAINING_LEARNING_RATE
configTRAINING_MAX_SEQ_LENGTH
configRUNNER_GRADIENT_ACCUMULATION
configGEMINI_WRAPPER_TEMP_LOG
configENABLE_CUSTOM_CODE_INTEGRATION
configGEMINI_LOG_FILE
configGGUF_TMP_DIR
configOPENCODE_TMP_DIR
configBASE_MODEL
configTRAINING_DATA_FILE
configRUNNER_ENABLE_STAT_SAVING
configRUNNER_SAVE_CHECKPOINTS
configRUNNER_CHECKPOINT_INTERVAL
configRUNNER_MIXED_PRECISION
configRUNNER_WARMUP_STEPS
configRUNNER_EARLY_STOPPING
configRUNNER_EARLY_STOPPING_PATIENCE
configRUNNER_MAX_TIME
configHF_HUB_OFFLINE
configHUGGINGFACE_OFFLINE
🔐 secretHUGGINGFACE_TOKEN
🔐 secretHF_TOKEN
🔐 secretHUGGINGFACEHUB_API_TOKEN
configRUNNER_MAX_CPU_THREADS
configOPENCODE_VERSION
configHEADLESS
configOPENCODE_REGEX_CHECK_QUIET
configOPENCODE_TEST
// quality suggestions

Tool 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

60/60 tools missing one or more hints — file_read (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); file_write (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); grep_search (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +57 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.

Tool test coverage

Only 3/60 tools referenced in tests (5%)

Write tests that reference each tool by name so every tool has at least one test.

Shell command execution

16 child_process/subprocess calls in production code — runs shell commands (Data/config.py:1903, Data/tabs/custom_code_tab/site-packages/opencode/interactive.py:6562, Data/tabs/custom_code_tab/site-packages/opencode/interactive.py:6631)

Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/morphomegaresearch-llm-learning-engine-gui-y95lkm)](https://m8ven.ai/mcp/morphomegaresearch-llm-learning-engine-gui-y95lkm)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: f5b7110fa1bae0b09dd05b0b95b9f2a240172a0f
code hash: 4473064392c37a5865e9b60d3d1b683cdc8efae549a60e1899ad5850ec13c6cd
verified: 8/18/2026, 7:05:18 PM
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