# S3-Compatible 3D Storage MCP Server

> Use this tool when you need to manage and publish 3D files efficiently, solving problems like secure storage and collaborative access to large models. It takes in 3D files as input and outputs interactive 3D viewers and presigned URLs for temporary access. Ideal for use cases where secure, scalable, and temporary sharing of 3D models is required, such as in architecture, engineering, and design collaborations.

Canonical page: https://skillsregistry.net/skills/tencentcloudadp-devrel-vercel-blob-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/tencentcloudadp-devrel-vercel-blob-mcp-server

## Description

An MCP server for managing and publishing 3D files using S3-compatible storage providers like Cloudflare R2 and AWS S3. It enables users to upload models, generate interactive 3D viewers, and manage temporary access via presigned URLs.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u73qrkfy82)
- **Repository:** <https://github.com/TencentCloudADP-DevRel/vercel-blob-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tencentcloudadp-devrel-vercel-blob-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tencentcloudadp-devrel-vercel-blob-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tencentcloudadp-devrel-vercel-blob-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
