llama4-maverick-mcp-python (YobieBen/llama4-maverick-mcp-python) is an MCP server listed on the M8ven Trust Index. M8ven has not graded it: we have no way to read this server ourselves. No publisher has claimed this listing.

C
Emerging
74/100
15 days ago

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.

⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

YobieBen

Source: modelscope

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

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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.
🔐
You'll be asked for 2 credentials: LLAMA_API_KEY, MCP_API_KEY
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.
configLLAMA_API_URL
configLLAMA_MODEL_NAME"": "llama3:latest"
🔐 secretLLAMA_API_KEY
configMCP_SERVER_HOST
configMCP_SERVER_PORT
configMCP_LOG_LEVELexport =DEBUG
configMCP_ENABLE_AUTH
🔐 secretMCP_API_KEY
configMCP_ALLOWED_HOSTS
configMAX_CONTEXT_LENGTH
configMAX_CONCURRENT_REQUESTS
configREQUEST_TIMEOUT_MSTimeout errors Increase in configuration
configCACHE_TTL
configCACHE_MAX_SIZE
configENABLE_STREAMING
configENABLE_FUNCTION_CALLING
configENABLE_VISION
configENABLE_CODE_EXECUTIONfalse # Security risk
configENABLE_WEB_SEARCH
configTOP_P0.9 # 0.0-1.0
configTOP_K40 # 1-100
configREPEAT_PENALTY
configSEED42 # For reproducibility
configFILE_SYSTEM_BASE_PATH/safe/path
configALLOW_FILE_WRITES
configDATABASE_POOL_SIZE
configENV
Deployment configuration, supplied by whoever hosts the server. Users are not asked for these.
deployDATABASE_URL
// 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

3/3 tools missing one or more hints — handle_call_tool (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); calculator (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); dynamic_tool_186 (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint). 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.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

Tests exist

No test files found

Add tests that exercise each declared tool.

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/yobieben-llama4-maverick-mcp-python-10yiln)](https://m8ven.ai/mcp/yobieben-llama4-maverick-mcp-python-10yiln)
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commit: 1420cd06e31dd2cc8b5dfe9607bb2c19ede52585
code hash: ac4aff7eee76811b01381a35ef51661eef40f84d28438dfcb88ef67f242e5403
verified: 8/13/2026, 9:38:32 PM
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