medimageparse-mcp (anihitk07/medimageparse-mcp) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 3 tools. No publisher has claimed this listing.

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C
Emerging
74/100
13 days ago

medimageparse-mcp

Enables AI agents to segment 2D and 3D biomedical images using Microsoft's MedImageParse foundation models via free-text prompts, returning masks and statistics. Supports both local stdio MCP server and a hosted Azure API Management gateway for remote agents like Microsoft Foundry.

→ anihitk07/medimageparse-mcp· listed on glama

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.

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Who stands behind it

anihitk07

Source: Glama

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Install from

Glama

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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.
// 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.
configMIP_MASK_OUTPUT_DIR
configAZURE_SUBSCRIPTION_ID$env: = "<your-subscription-guid>"
configAML_RESOURCE_GROUP$env: = "medimageparse-mcp-rg" # optional, this is the default
configAML_WORKSPACE$env: = "medimageparse-mcp-ws" # optional, this is the default
configAML_LOCATION$env: = "eastus2" # optional, this is the default — must have your GPU quota
// 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 — list_supported_prompts (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); segment_2d_image (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); segment_3d_volume (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.).

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 3 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/anihitk07-medimageparse-mcp-bzkjkq)](https://m8ven.ai/mcp/anihitk07-medimageparse-mcp-bzkjkq)
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commit: ec48f37c6f15c384ed2a32283918c93a156bbdcc
code hash: 252c7e21317d51ca8e85c0e5e167d3ca61ea0236517e56cab86b10c091e77759
verified: 8/12/2026, 7:45:40 AM
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