Flux 2 MCP server

RunAPI Flux 2 MCP Server

Flux 2 API access for AI agents: run image generation operations, poll asynchronous results, and check pricing through one focused MCP server.

Works with Claude Code, Codex, Cursor, Windsurf, VS Code, Roo Code, and any MCP-compatible host.

Install | Tools | Models | Agent Prompts | Configuration | Links

Why This Package?

@runapi.ai/flux-2-mcp is a focused Model Context Protocol server for the Flux 2 model line on RunAPI. It gives MCP-compatible assistants direct access to 2 endpoints and 6 model variants without loading the full RunAPI catalog.

Use this per-model server when an agent should stay scoped to Flux 2. Use @runapi.ai/mcp when one assistant should discover every RunAPI model line.

Install

Add it to Claude Code:

claude mcp add flux-2 -s user -- npx -y @runapi.ai/flux-2-mcp

Use project scope when the server should be shared with a repository:

claude mcp add flux-2 -s project -- npx -y @runapi.ai/flux-2-mcp

Codex, Cursor, Windsurf, VS Code, Roo Code, and other MCP hosts can use the same stdio command:

{
  "mcpServers": {
    "flux-2": {
      "command": "npx",
      "args": ["-y", "@runapi.ai/flux-2-mcp"]
    }
  }
}

checkpricing works before sign-in. For task creation and status polling, ask your assistant to call the login tool. It opens a browser login and saves credentials to ~/.config/runapi/config.json, the same file used by runapi login. Headless and CI hosts can still set RUNAPIAPI_KEY before starting the MCP host.

Ready-made examples are in examples/ for Claude, Cursor, Windsurf, VS Code, and Roo Code.

Tools

Models

Flux 2 covers 6 model variants across 2 endpoints. Each tool accepts the models listed for it:

Model availability can change between releases. Use check_pricing or the Flux 2 model page for the current catalog view.

Agent Prompts

Ask your assistant in natural language; it can inspect pricing, create the task, and return the task id plus output URLs.

Create a task

Run a Flux 2 remix image task with RunAPI.

Shortened. The full README is on GitHub.