# image-to-base64

> Use this tool when you need to convert images to Base64 format for AI processing, solving issues with image compatibility and enabling seamless integration with AI assistants. It takes local images or remote image URLs as input and outputs the equivalent Base64-encoded string. Ideal for use cases where AI models require image data in a text-based format, such as image classification or object detection tasks.

Canonical page: https://skillsregistry.net/skills/code-tinker-image2base64-mcp  
JSON: https://api.skillsregistry.net/v1/skills/code-tinker-image2base64-mcp

## Description

Converts local images or remote image URLs to Base64 format via the MCP protocol, enabling AI assistants to process images.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e6zt7fcopb)
- **Repository:** <https://github.com/code-tinker/image2base64-mcp>

## 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": "code-tinker-image2base64-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/code-tinker-image2base64-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/code-tinker-image2base64-mcp/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