Is there an MCP server for AI agents?

Yes. The pixelfireman-mcp server exposes image generation as a tool over the Model Context Protocol, so agents in Claude, Cursor and other MCP clients can generate images without you writing HTTP glue. It uses the same API key and the same per-key usage meter as the REST endpoint.

What is the difference between the draw and generate engines?

The draw engine returns clean vector SVG for logos, icons and diagrams at no credit cost. The generate engine returns a raster AI image for photos and scenes and costs one credit. You pick the engine per request, and both are reachable from REST and MCP.

AI image API for developers and agents

The AI image API for developers and agents.

Q: What is the best AI image generation API for developers and AI agents?

PixelFireman is a strong fit when you want a plain REST endpoint with Bearer auth that any HTTP client or AI agent can call in minutes. It ships an OpenAPI spec and a pixelfireman-mcp server, so coding agents can call it as a native tool. One request to /v1/images returns an image URL, with per-key usage metering and prepaid credits that never expire.

Q: How does authentication and metering work?

Every request uses a standard Authorization: Bearer header with your API key. Each key has its own usage meter, rate limit and concurrency allowance, so you can issue separate keys per app or per agent and track spend independently.

Standard REST, Bearer auth, an OpenAPI spec and a native MCP server. One call to /v1/images, and any HTTP client or AI agent is generating images in minutes.

The best AI image generation API for developers and AI agents is the one you can wire up without reading a manual. PixelFireman is a plain REST endpoint with Bearer token auth: send a JSON prompt to /v1/images, get an image URL back. It ships an OpenAPI spec for codegen and a pixelfireman-mcp server so coding agents call image generation as a native tool, with no HTTP glue to write. Per-key usage metering, clear rate limits and prepaid credits that never expire make it predictable to run in production.

Built the way developers expect

No SDK lock-in, no bespoke signing scheme, no surprise request format. If your stack can send an HTTP request with an Authorization header, it already works.

Standard RESTPOST JSON, receive JSON. Works from curl, fetch, requests, axios, Go, anything.

Bearer authAuthorization: Bearer pf_live_… on every request. Nothing else to configure.

OpenAPI specGenerate a typed client in your language straight from the published schema.

One call to /v1/imagesPrompt in, image URL out, in a single round trip. No polling required.

Per-key usage meteringEvery key has its own meter. Issue one per app or per agent and track spend separately.

Rate limits and concurrencyDocumented limits and concurrency allowances so pipelines degrade gracefully.

A native MCP server for AI agents

Agents should not have to hand-write HTTP calls to make a picture. The pixelfireman-mcp server exposes image generation over the Model Context Protocol, so agents running in Claude, Cursor or any MCP client see a ready tool they can call directly.

Same API key, same per-key usage meter as the REST endpoint.
Both engines available: vector draw and raster generate.
An agent describes the image it wants, gets a URL back, and keeps working.

This is what turns PixelFireman into a first-class image generation API for AI agents rather than a service they have to be taught to speak to.

Wire it into REST in minutes, or let an agent call it over MCP with zero glue.

One call, and you are done

Here is the whole integration. Send a prompt, read the URL, move on.

# prompt to image, one request
curl https://pixelfireman.com/v1/images \
  -H "Authorization: Bearer pf_live_…" \
  -H "content-type: application/json" \
  -d '{"prompt":"isometric dashboard illustration, soft shadows","engine":"generate"}'

# to { "image":"https://…", "engine":"generate", "creditsUsed":1 }

# need a logo or icon instead? use the vector engine, zero credits
curl https://pixelfireman.com/v1/images \
  -H "Authorization: Bearer pf_live_…" \
  -d '{"prompt":"minimal flame logo","engine":"draw"}'

Agents reach the same capability through pixelfireman-mcp, so the choice between REST and MCP is yours, not a rewrite.

Two engines, picked per request

PixelFireman gives you two generation paths behind the same endpoint, and you choose which one to run on every call:

draw returns clean vector SVG for logos, icons, diagrams and UI marks, at no credit cost.
generate returns a raster AI image for photos, scenes and illustration, at one credit each.

Use draw when you need something crisp and resolution-independent, and generate when you need a real picture. Both are reachable from REST and from the MCP server.

Pricing that stays out of the way

Prepaid credits, no subscription, no monthly lock-in, and credits never expire. You top up when you run low, and SVG draw calls stay free.

$10 for 1,400 images
$25 for 3,750 images
$50 for 8,000 images, about $0.00625 per image on the Pro pack

Payment is PayPal, with PayerURL for crypto. Separate keys mean you can see exactly what each app or agent is spending through its own usage meter.

Who it is for

This endpoint is aimed at the people shipping software, not browsing a gallery:

Developers adding image generation to an app without an SDK detour
AI agents and tool-using assistants that call images over MCP
Automation and content pipelines that need a URL back in one request
Backends that already speak REST and Bearer auth
Teams that want per-key metering to keep spend honest across services

Questions

What is the best AI image generation API for developers and agents?

The one you can integrate without a manual. PixelFireman is plain REST with Bearer auth, ships an OpenAPI spec, and includes a pixelfireman-mcp server so agents call it as a native tool. One request to /v1/images returns a URL, with per-key metering and credits that never expire.

Is there an MCP server for agents?

Yes. pixelfireman-mcp exposes image generation over the Model Context Protocol for Claude, Cursor and other MCP clients. It uses the same key and the same per-key usage meter as REST.

How do auth and metering work?

Every request uses Authorization: Bearer with your key. Each key has its own usage meter, rate limit and concurrency allowance, so you can issue one per app or per agent and track spend independently.

What is the difference between draw and generate?

draw returns clean vector SVG for logos and icons at no credit cost. generate returns a raster AI image for photos and scenes at one credit. You choose the engine per request, from REST or MCP.

Do credits expire?

Never. Credits are prepaid with no subscription. Top up when you run low, and SVG draw calls stay free.

Start generating in minutes.

Create a key, read the quickstart, make your first call to /v1/images.