Orthanc DICOM + Nerve Segmentation MCP Server (shrutig1602/DCM-Segmentation-MCP-Server) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 13 tools. No publisher has claimed this listing.

C
Emerging
74/100
10 days ago

Orthanc DICOM + Nerve Segmentation MCP Server

Enables navigating an Orthanc PACS, extracting PDF reports, and running nerve segmentation on ultrasound DICOM instances, with results uploaded back as new series.

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

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Who stands behind it

shrutig1602

Source: Glama

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Install from

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: ORTHANC_PASSWORD
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.
configNERVE_CLS_CKPTTrained-models/best_cls_model.pth
configNERVE_SEG_CKPTTrained-models/best_model.pth
configNERVE_DEVICEauto-detected
configORTHANC_URLhttp://localhost:8042
configORTHANC_USERNAME(none)
🔐 secretORTHANC_PASSWORD(none)
configORTHANC_VERIFY_SSLtrue
// 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

13/13 tools missing one or more hints — query_patients (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); query_studies (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); find_studies_by_patient_name (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +10 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.

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/shrutig1602/dcm-segmentation-mcp-server)](https://m8ven.ai/mcp/shrutig1602/dcm-segmentation-mcp-server)
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commit: 0e93239cbd4116d5e109509ee74a28d8fe41eb6b
code hash: ac1d143728abc544c387fc2986ddfc82bee9248f31377f3f85ed31fcfb5722f5
verified: 9/3/2026, 4:46:20 AM
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