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

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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.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configAXIS_NULL_MANIFEST— "background_ref": "string (path to a null manifest; defaults to env )",

configEMBEDDING_MODEL

configEMBEDDING_BACKEND— Three interchangeable backends, selected via environment variable:

configEMBEDDING_SERVER_URL

configGRADIO_SERVER_PORT

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// 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/shanevcantwell-semantic-kinematics-mcp-1youz5)](https://m8ven.ai/mcp/shanevcantwell-semantic-kinematics-mcp-1youz5)

commit: 45acdeb6ccc91e3fabf50cdcac969507a00cf16d

code hash: 5bd1f963920f8ed29f317f5fc98f48c2c54b096ef7595bd5b5567bbc130cc6df

verified: 6/22/2026, 12:12:22 PM

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