semantic-kinematics-mcp (shanevcantwell/semantic-kinematics-mcp) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 18 tools. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Emerging
74/100

semantic-kinematics-mcp

Embedding space analysis toolkit that measures semantic drift, traces trajectory dynamics, and projects passages onto caller-defined semantic axes, exposed as MCP tools for agentic integration.

→ shanevcantwell/semantic-kinematics-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.

How we verified

⚡ Live Monitored: not connected

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Who stands behind it

shanevcantwell

Source: Glama

Is this your MCP?

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Install from

Glamanot scored here

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.
// 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.
configGRADIO_SERVER_PORT
configEMBEDDING_SERVER_URL
configEMBEDDING_MODEL
configEMBEDDING_BACKEND
configAXIS_NULL_MANIFEST
configNV_EMBED_MODEL_PATHnvidia/NV-Embed-v2 (HuggingFace hub id; set to a local checkout to skip download)
// 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

18/18 tools missing one or more hints — analyze_axis_alignment (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); classify_document (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); initialize_direction (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +15 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.).

Tool test coverage

12/18 tools referenced in tests (67%)

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

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/shanevcantwell/semantic-kinematics-mcp)](https://m8ven.ai/mcp/shanevcantwell/semantic-kinematics-mcp)
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commit: 0f53fd34566a4bb5144922cc15dd4663feb71c7f
code hash: c41020cd08aaac42c9d7adf30169e318a8b89addcd6affd8b84293d0c2c9b10c
view raw JSON →
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