# picgo-uploader

> Use this tool when you need to seamlessly upload images to a PicGo application, solving issues of manual image transfer and streamlining workflows. It enables efficient image uploading through the PicGo server, accepting image files as input and returning upload status as output. Ideal for use cases requiring automated image management and integration with PicGo.

Canonical page: https://skillsregistry.net/skills/veithly-picgomcp  
JSON: https://api.skillsregistry.net/v1/skills/veithly-picgomcp

## Description

Enables uploading images to a running PicGo application through its built-in server.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rauby1lgi0)
- **Repository:** <https://github.com/veithly/PicGoMCP>

## 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": "veithly-picgomcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/veithly-picgomcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/veithly-picgomcp/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