# Upload File

> Use this tool when you need to efficiently handle file uploads within AI-assisted workflows, particularly in MCP-based systems. It provides a bridge for uploading files using the Model Context Protocol SDK, solving problems related to file management in AI applications. The tool accepts file inputs and outputs uploaded files, making it a streamlined solution for integrating file handling into existing MCP ecosystems.

Canonical page: https://skillsregistry.net/skills/sujianqingfeng-upload-file  
JSON: https://api.skillsregistry.net/v1/skills/sujianqingfeng-upload-file

## Description

This MCP server implementation provides a bridge for uploading files using the Model Context Protocol SDK. Developed by hens, it offers functionality for handling file uploads within AI-assisted workflows. The server is built using TypeScript and integrates with popular development tools like Biome for code formatting and linting. It focuses on efficient file handling and is designed to be easily integrated into existing MCP-based systems. The implementation is particularly useful for AI applications that need to manage file uploads as part of their operations, offering a streamlined approach to file handling within the MCP ecosystem.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sujianqingfeng-upload-file)
- **Repository:** <https://github.com/sujianqingfeng/mcp-upload-file>

## 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": "sujianqingfeng-upload-file"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sujianqingfeng-upload-file` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sujianqingfeng-upload-file/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