eval-with-azure-eval-sdk (sanjeevkumar761/eval-with-azure-eval-sdk) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 6 tools. No publisher has claimed this listing.

Emerging

74/100

8 days ago

eval-with-azure-eval-sdk

Item: eval-with-azure-eval-sdk
Rating: 74
Author: M8ven

Evaluation using Azure AI Evaluation SDK

→ sanjeevkumar761/eval-with-azure-eval-sdk · 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.

⚡ Connect GitHub → continuous verification on every push why connect →

Who stands behind it

sanjeevkumar761

Source: github_code

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 →

⚡ Connect GitHub for Live Monitored

Install from

GitHub

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// 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 1 credential: AZURE_OPENAI_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.

configAZURE_OPENAI_ENDPOINT

configAZURE_OPENAI_API_VERSION

configAZURE_OPENAI_DEPLOYMENT_NAME

🔐 secretAZURE_OPENAI_API_KEY

configAZURE_OPENAI_DEPLOYMENT

configSUBSCRIPTION_ID

configRESOURCE_GRPUP

configPROJECT_NAME

configAZURE_AI_PROJECT_ENDPOINT

configAZURE_AI_MODEL_DEPLOYMENT_NAME

configAZURE_API_VERSION

configNUMERICAL_ACCURACY_THRESHOLD

configCOMPLETENESS_THRESHOLD

configCONSISTENCY_THRESHOLD

configGROUNDEDNESS_THRESHOLD

configCONFIDENCE_THRESHOLD

configENABLE_APP_INSIGHTS

configSME_QUEUE_NAME

configENABLE_SME_QUEUE

configGOLDEN_DATASET_PATH

configRESULTS_OUTPUT_PATH

Deployment configuration, supplied by whoever hosts the server. Users are not asked for these.

deployAPPLICATIONINSIGHTS_CONNECTION_STRING

deploySME_QUEUE_CONNECTION_STRING

// 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

6/6 tools missing one or more hints — get_sci_poem (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_alerts (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_forecast (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +3 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.

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.

Secrets not logged

1 secret value sent to print

Redact or omit secret values from log output.

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 5 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/sanjeevkumar761/eval-with-azure-eval-sdk)](https://m8ven.ai/mcp/sanjeevkumar761/eval-with-azure-eval-sdk)

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commit: 009a9155229777b37acba0457aa68d7b4e02643f

code hash: 18d0a779174cacb74d3be25c4263d1ec3e8ebcd99b4a27ec742ab9f622540419

verified: 9/3/2026, 6:24:36 PM

view raw JSON →

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