grounded-motion-mcp

Item: grounded-motion-mcp
Rating: 69
Author: M8ven

A standalone motion tracking MCP server that runs MMPose whole-body inference to produce normalized landmarks and trajectories, with tools for tracking, validation, inspection, comparison, and artifact export.

→ Valar05/grounded-motion-mcp · listed on glama

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.

Install from

Glama

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

// required environment variables

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

configGROUNDED_MOTION_MODEL_CACHE

configGROUNDED_MOTION_WORKSPACE— "": "/absolute/path/motion-workspace"

configGROUNDED_MOTION_RESOURCE

configGROUNDED_MOTION_REVISION

configGROUNDED_MOTION_HOST

configPORT

configGROUNDED_MOTION_PORT

configGROUNDED_MOTION_PROFILE

configGROUNDED_MOTION_TRANSPORT— e =streamable-http \

configGROUNDED_MOTION_REGION

configGROUNDED_MOTION_JOB

configGROUNDED_MOTION_IMAGE_DIGEST

// 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/valar05-grounded-motion-mcp-8330sh)](https://m8ven.ai/mcp/valar05-grounded-motion-mcp-8330sh)

commit: 0895dc7ae25219295a7310823d019cea0f1fe261

code hash: 3fe840bc5c272d511690720dfdf924a99ab473bac7a6080bb1282538cf9a4a8d

verified: 7/29/2026, 9:04:19 AM

view raw JSON →