# Flow2API MCP Server

> Use this tool when you need to integrate image generation capabilities into your application, providing a seamless interface for generating, retrieving, and managing images. It solves problems related to image creation, history tracking, and caching, making it ideal for use cases that require efficient and organized image processing. The tool accepts input parameters for image generation and returns generated images, along with metadata for history and caching purposes.

Canonical page: https://skillsregistry.net/skills/barometer-2002-flow2api-mcp  
JSON: https://api.skillsregistry.net/v1/skills/barometer-2002-flow2api-mcp

## Description

Wraps Flow2API / OpenAI-compatible image generation upstream into an MCP service, providing image generation, history, and caching tools.

## Trust

- **Trust score (0–1):** 0.68
- **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/j32io3fkbz)
- **Repository:** <https://github.com/Barometer-2002/flow2api-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": "barometer-2002-flow2api-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/barometer-2002-flow2api-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/barometer-2002-flow2api-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