# Pixola Developer Docs

> Pixola is an AI image generation platform with 40+ models in one place. This page is the index for developer documentation.

## Sections

- [REST API](/docs/api) — HTTP API for generating images, polling batches, and managing your account. Full reference with code samples in Python, JavaScript, and curl.
- [Models](/docs/models) — All 40+ AI models with slugs, credit pricing, tags, and reference image support. Live data from GET /api/v1/models.
- [MCP Server](/docs/mcp) — Model Context Protocol server for use with Claude, Cursor, VS Code, and other MCP-compatible AI tools.

## MCP Setup Guides (per platform)

- ChatGPT: https://www.pixola.ai/docs/chatgpt
- Claude Desktop: https://www.pixola.ai/docs/claude
- Claude Code: https://www.pixola.ai/docs/claude-code
- Cursor: https://www.pixola.ai/docs/cursor
- Windsurf: https://www.pixola.ai/docs/windsurf
- VS Code / GitHub Copilot: https://www.pixola.ai/docs/vscode

## Quick Links

- Create API key: https://www.pixola.ai/settings
- OpenAPI spec: https://www.pixola.ai/api/v1/openapi.json
- REST API llms.txt: https://www.pixola.ai/docs/api/llms.txt
- Models llms.txt (live): https://www.pixola.ai/docs/models/llms.txt
- MCP Server llms.txt: https://www.pixola.ai/docs/mcp/llms.txt

## Authentication

All API requests use Bearer token authentication. Keys are prefixed with `pxk_` and created from the Settings page.

  Authorization: Bearer pxk_YOUR_API_KEY

## Key Facts

- Base URL: https://www.pixola.ai/api/v1
- MCP endpoint: https://www.pixola.ai/mcp (Streamable HTTP, Bearer auth)
- Rate limits: 30 requests/minute, 1,000 requests/day per API key
- Generation is async: POST /generate returns a batchId, then poll GET /batches/{batchId}
- Image statuses: processing | complete | failed | rejected

## MCP Apps (Interactive UIs)

On supported MCP hosts (Claude web/Desktop, VS Code Copilot, Goose, Postman, MCPJam), some Pixola MCP tools render interactive UIs inside the conversation. No extra setup required.

Tools with interactive UIs: generate_image, list_models, check_credits, list_images, get_image.
See: https://www.pixola.ai/docs/mcp/llms.txt for full details.